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• Windows API BackupRead failing with error 50 on Windows Storage Server 2008 R2

  - by Jason F

  We have a backup application that uses the Windows API BackupRead. It works correctly on Windows Server 2003, 2008, 2008 R2. It does not work on Storage Server 2008 R2. It always fails with error 50 - The request is not supported. The documentation for BackupRead gives no indication that it will not work with Storage Server 2008 R2. Anyone else have any experience using this API on Storage Server 2008 R2?

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• Mac Snow Leopard opening the same program in multiple Spaces

  - by Tio

  I noticed that if I had Safari open in say, Space 1, I would be sent back to Space 1 if I tried to open Safari in any other space. Now I know that I can open multiple windows of Safari in Space 1 and then just move the windows manually, but is there an easy way to open an already opened program in a new Space?

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• When is the default storage rule not really the default storage rule?

  - by Kevin Smith

  In 11g WebCenter Content (WCC) introduced dispersion rules in the vault and weblayout directory paths to better distribute content across the directories. The dispersion rule was based on dRevClassID. The only problem with this is that dRevClassID did not remain the same when you copied content from one WCC instance to another using Archiver like in a contribution-consumption scenario. This could cause problems because the web-viewable path would not be the same between the contribution and consumption instances. In the PS5 (11.1.1.6.0) release of WCC they addressed this by configuring the File Store Provider (FSP) so that all new content would use a storage rule with a dispersion rule based on dDocName, which would stay the same when content was copied to another WCC instance. To support migration from older versions of WCC they left the default storage rule unchanged and created a new storage rule called DispByContentId and made that the default storage rule for all new content. I only stumbled upon this a while back when I was trying to change the FSP configuration so that all content used a webless storage rule. I changed the default storage rule, restarted WCC, and checked in a new content item. To my surprise the new content was not created as webless. I struggled with this for a while until I noticed there were multiple storage rules defined in the FSP configuration. When I looked at the default value for the xStorageRule field in Configuration Manager, sure enough it was no longer default, but was now DispByContentId. Once I updated the DispByContentId storage rule to webless and restarted WCC all my new content was now created using the webless storage rule, just like I wanted. I noticed when I was creating this blog post that the default storage rule is also listed on the File Store Provider Information page, but I guess I didn't see that when I originally did this.

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• Shared storage solution for our sql server backups

  - by Gokhan

  We have 3 clustered sql servers. We have 5+ multi terrabyte databases and their backup files (compressed using quest litespeed) are hitting over 600gb each, We are required to keep at least a week or two weeks (if we can) of weekly full backups and then 6 days differential backups, and a week or 2 weeks worth of log backups local. We are currently limited to 2TB volumes from our san team, we can have multiple volumes but they are expensive ($200 per raw TB per month) and having to deal with many backup volumes instead of a single big volume is difficult. I think if we could have a shared network storage of 20TB+ raid 10 or so for all our servers for keeping the backups and another department will copy them to tape from the network storage and delete files according to the retention period would be good, if this box would be a build in operating system (even unix a complete file storage system) that would be good. What do you guys think, does this make sense to you, is there any manufacturer that sells a storage product like that which that work in a clustered environment? Thank you

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• ADO and Two Way Storage Tiering

  - by Andy-Oracle

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 We get asked the following question about Automatic Data Optimization (ADO) storage tiering quite a bit. Can you tier back to the original location if the data gets hot again? The answer is yes but not with standard Automatic Data Optimization policies, at least not reliably. That's not how ADO is meant to operate. ADO is meant to mirror a traditional view of Information Lifecycle Management (ILM) where data will be very volatile when first created, will become less active or cool, and then will eventually cease to be accessed at all (i.e. cold). I think the reason this question gets asked is because customers realize that many of their business processes are cyclical and the thinking goes that those segments that only get used during month end or year-end cycles could sit on lower cost storage when not being used. Unfortunately this doesn't fit very well with the ADO storage tiering model. ADO storage tiering is based on the amount of free and used space in the source tablespace. There are two parameters that control this behavior, TBS_PERCENT_USED and TBS_PERCENT_FREE. When the space in the tablespace exceeds the TBS_PERCENT_USED value then segments specified in storage tiering clause(s) can be moved until the percent of free space reaches the TBS_PERCENT_FREE value. It is worth mentioning that no checks are made for available space in the target tablespace. Now, it is certainly possible to create custom functions to control storage tiering, but this can get complicated. The biggest problem is insuring that there is enough space to move the segment back to tier 1 storage, assuming that that's the goal. This isn't as much of a problem when moving from tier 1 to tier 2 storage because there is typically more tier 2 storage available. At least that's the premise since it is supposed to be less costly, lower performing and higher capacity storage. In either case though, if there isn't enough space then the operation fails. In the case of a customized function, the question becomes do you attempt to free the space so the move can be made or do you just stop and return false so that the move cannot take place? This is really the crux of the issue. Once you cross into this territory you're really going to have to implement two-way hierarchical storage and the whole point of ADO was to provide automatic storage tiering. You're probably better off using heat map and/or business access requirements and building your own hierarchical storage management infrastructure if you really want two way storage tiering. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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• Why is hosted storage so expensive?

  - by Mark Henderson

  There are many questions on Server Fault asking why server storage is so expensive. e.g. Why do I have to pay 50 bucks a month per extra gigabyte of storage or Our file server is always running out of space, why doesn't our sysadmin just throw an extra 1TB drive in there? These questions usually come from people who lack an understanding of how enterprise-level storage works and what influences the price. This question is designed to be the "question to end all questions" regarding the price of enterprise storage.

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• what is the kind of spaces in java?

  - by androidbase Praveen

  what is difference of below operators for spaces? \t, \n, \x0B, \f and \r.

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• networked storage for a research group, 10-100 TB

  - by Marc

  this is related to this post: http://serverfault.com/questions/80854/scalable-24-tb-nas-for-research-department but perhaps a little more general. Background: We're a research lab of around 10 people who do a lot of experiments that involve taking pictures at one of several lab setups and then analyzing it an one of several lab computers. Each experiment may produce 2 or 3 GB of data, and we are generating data at the rate of about 10 TB/year. Right now, we are storing the data on a 6-bay netgear readynas pro, but even with 2 TB drive, this only gives us 10 TB of storage. Also, right now we are not backing up at all. Our short term backup plan is to get a second readynas, put it in a different building and mirror the one drive onto the other. Obviously, this is somewhat non-ideal. Our options: 1) We can pay our university $400/ TB /year for "backed up" online storage. We trust them more than we trust us, but not a whole lot. 2) We can continue to buy small NASs and mirror them between offices. One limit, although stupid, is that we don't have an unlimited number of ethernet jacks. 3) We can try to implement our own data storage solution, which is why I'm asking you guys. One thing to consider is that we're a very transient population and none of us are network administration experts. I will probably be here only another year or so, and graduate students, who are here the longest, have a 5-6 year time scale. So nothing can require expert oversight. Our data transfer rates are low - most of the data will just sit on the server waiting for someone to look at it once or twice - so we don't need a really high speed system. Given these contraints, can someone recommend a fairly low-cost, scalable, more or less turn key shared data storage system with backup in a separate physical location. Does such a thing exist or should we just pay the university to take care of it for us? As a second question, our professor just got tenure and is putting together a budget. Here the goal is to ask for as much as you can and hope you get a fraction of it. So the same question, minus the low-cost. Without budget constraints, can you recommend a scalable turn-key backed up storage system. Thanks

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• SPARC T4-2 Produces World Record Oracle Essbase Aggregate Storage Benchmark Result

  - by Brian

  Significance of Results Oracle's SPARC T4-2 server configured with a Sun Storage F5100 Flash Array and running Oracle Solaris 10 with Oracle Database 11g has achieved exceptional performance for the Oracle Essbase Aggregate Storage Option benchmark. The benchmark has upwards of 1 billion records, 15 dimensions and millions of members. Oracle Essbase is a multi-dimensional online analytical processing (OLAP) server and is well-suited to work well with SPARC T4 servers. The SPARC T4-2 server (2 cpus) running Oracle Essbase 11.1.2.2.100 outperformed the previous published results on Oracle's SPARC Enterprise M5000 server (4 cpus) with Oracle Essbase 11.1.1.3 on Oracle Solaris 10 by 80%, 32% and 2x performance improvement on Data Loading, Default Aggregation and Usage Based Aggregation, respectively. The SPARC T4-2 server with Sun Storage F5100 Flash Array and Oracle Essbase running on Oracle Solaris 10 achieves sub-second query response times for 20,000 users in a 15 dimension database. The SPARC T4-2 server configured with Oracle Essbase was able to aggregate and store values in the database for a 15 dimension cube in 398 minutes with 16 threads and in 484 minutes with 8 threads. The Sun Storage F5100 Flash Array provides more than a 20% improvement out-of-the-box compared to a mid-size fiber channel disk array for default aggregation and user-based aggregation. The Sun Storage F5100 Flash Array with Oracle Essbase provides the best combination for large Oracle Essbase databases leveraging Oracle Solaris ZFS and taking advantage of high bandwidth for faster load and aggregation. Oracle Fusion Middleware provides a family of complete, integrated, hot pluggable and best-of-breed products known for enabling enterprise customers to create and run agile and intelligent business applications. Oracle Essbase's performance demonstrates why so many customers rely on Oracle Fusion Middleware as their foundation for innovation. Performance Landscape System Data Size(millions of items) Database Load(minutes) Default Aggregation(minutes) Usage Based Aggregation(minutes) SPARC T4-2, 2 x SPARC T4 2.85 GHz 1000 149 398* 55 Sun M5000, 4 x SPARC64 VII 2.53 GHz 1000 269 526 115 Sun M5000, 4 x SPARC64 VII 2.4 GHz 400 120 448 18 * – 398 mins with CALCPARALLEL set to 16; 484 mins with CALCPARALLEL threads set to 8 Configuration Summary Hardware Configuration: 1 x SPARC T4-2 2 x 2.85 GHz SPARC T4 processors 128 GB memory 2 x 300 GB 10000 RPM SAS internal disks Storage Configuration: 1 x Sun Storage F5100 Flash Array 40 x 24 GB flash modules SAS HBA with 2 SAS channels Data Storage Scheme Striped - RAID 0 Oracle Solaris ZFS Software Configuration: Oracle Solaris 10 8/11 Installer V 11.1.2.2.100 Oracle Essbase Client v 11.1.2.2.100 Oracle Essbase v 11.1.2.2.100 Oracle Essbase Administration services 64-bit Oracle Database 11g Release 2 (11.2.0.3) HP's Mercury Interactive QuickTest Professional 9.5.0 Benchmark Description The objective of the Oracle Essbase Aggregate Storage Option benchmark is to showcase the ability of Oracle Essbase to scale in terms of user population and data volume for large enterprise deployments. Typical administrative and end-user operations for OLAP applications were simulated to produce benchmark results. The benchmark test results include: Database Load: Time elapsed to build a database including outline and data load. Default Aggregation: Time elapsed to build aggregation. User Based Aggregation: Time elapsed of the aggregate views proposed as a result of tracked retrieval queries. Summary of the data used for this benchmark: 40 flat files, each of size 1.2 GB, 49.4 GB in total 10 million rows per file, 1 billion rows total 28 columns of data per row Database outline has 15 dimensions (five of them are attribute dimensions) Customer dimension has 13.3 million members 3 rule files Key Points and Best Practices The Sun Storage F5100 Flash Array has been used to accelerate the application performance. Setting data load threads (DLTHREADSPREPARE) to 64 and Load Buffer to 6 improved dataloading by about 9%. Factors influencing aggregation materialization performance are "Aggregate Storage Cache" and "Number of Threads" (CALCPARALLEL) for parallel view materialization. The optimal values for this workload on the SPARC T4-2 server were: Aggregate Storage Cache: 32 GB CALCPARALLEL: 16   See Also Oracle Essbase Aggregate Storage Option Benchmark on Oracle's SPARC T4-2 Server oracle.com Oracle Essbase oracle.com OTN SPARC T4-2 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 28 August 2012.

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• Sd card bigger than 2gb is not recognized in ubuntu 12.04

  - by dex1

  When I insert a card up to 2gb it is immediately seen by the system but if try it with bigger one it's not seen. I presume the issue is not due to the card reader itself as it reads all cards under windows 7 but due to linux driver. I could see some people having similar issues but no solution. Any help appreciated. GParted doesnt see cards bigger than 2gb. After insertion small card ubuntu@ubuntu:~$ dmesg [10169.384481] mmc0: new SD card at address a95c [10169.384870] mmcblk0: mmc0:a95c SD016 14.0 MiB [10169.386715] mmcblk0: p1 everything worked fine then I removed the small one and put 8gb, waited for 2min [10295.736422] mmc0: card a95c removed [10362.448383] sdhci: Switching to 1.8V signalling voltage failed, retrying with S18R set to 0 [10372.480076] mmc0: Timeout waiting for hardware interrupt. [10382.496146] mmc0: Timeout waiting for hardware interrupt. [10392.512149] mmc0: Timeout waiting for hardware interrupt. [10402.528145] mmc0: Timeout waiting for hardware interrupt. [10402.529267] mmc0: error -110 whilst initialising SD card [10402.748807] sdhci: Switching to 1.8V signalling voltage failed, retrying with S18R set to 0 [10412.768063] mmc0: Timeout waiting for hardware interrupt. [10422.784051] mmc0: Timeout waiting for hardware interrupt. [10432.800076] mmc0: Timeout waiting for hardware interrupt. [10442.816067] mmc0: Timeout waiting for hardware interrupt. [10442.817165] mmc0: error -110 whilst initialising SD card [10443.040805] sdhci: Switching to 1.8V signalling voltage failed, retrying with S18R set to 0 [10453.056145] mmc0: Timeout waiting for hardware interrupt. [10463.072139] mmc0: Timeout waiting for hardware interrupt. [10473.088050] mmc0: Timeout waiting for hardware interrupt. [10483.104046] mmc0: Timeout waiting for hardware interrupt. [10483.104107] mmc0: error -110 whilst initialising SD card [10483.328960] sdhci: Switching to 1.8V signalling voltage failed, retrying with S18R set to 0 [10493.344144] mmc0: Timeout waiting for hardware interrupt. ubuntu@ubuntu:~$ lspci 00:00.0 Host bridge: Intel Corporation Mobile PM965/GM965/GL960 Memory Controller Hub (rev 03) 00:02.0 VGA compatible controller: Intel Corporation Mobile GM965/GL960 Integrated Graphics Controller (primary) (rev 03) 00:02.1 Display controller: Intel Corporation Mobile GM965/GL960 Integrated Graphics Controller (secondary) (rev 03) 00:1a.0 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #4 (rev 03) 00:1a.1 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #5 (rev 03) 00:1a.7 USB controller: Intel Corporation 82801H (ICH8 Family) USB2 EHCI Controller #2 (rev 03) 00:1b.0 Audio device: Intel Corporation 82801H (ICH8 Family) HD Audio Controller (rev 03) 00:1c.0 PCI bridge: Intel Corporation 82801H (ICH8 Family) PCI Express Port 1 (rev 03) 00:1c.3 PCI bridge: Intel Corporation 82801H (ICH8 Family) PCI Express Port 4 (rev 03) 00:1c.4 PCI bridge: Intel Corporation 82801H (ICH8 Family) PCI Express Port 5 (rev 03) 00:1c.5 PCI bridge: Intel Corporation 82801H (ICH8 Family) PCI Express Port 6 (rev 03) 00:1d.0 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #1 (rev 03) 00:1d.1 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #2 (rev 03) 00:1d.2 USB controller: Intel Corporation 82801H (ICH8 Family) USB UHCI Controller #3 (rev 03) 00:1d.7 USB controller: Intel Corporation 82801H (ICH8 Family) USB2 EHCI Controller #1 (rev 03) 00:1e.0 PCI bridge: Intel Corporation 82801 Mobile PCI Bridge (rev f3) 00:1f.0 ISA bridge: Intel Corporation 82801HM (ICH8M) LPC Interface Controller (rev 03) 00:1f.1 IDE interface: Intel Corporation 82801HM/HEM (ICH8M/ICH8M-E) IDE Controller (rev 03) 00:1f.2 SATA controller: Intel Corporation 82801HM/HEM (ICH8M/ICH8M-E) SATA Controller [AHCI mode] (rev 03) 00:1f.3 SMBus: Intel Corporation 82801H (ICH8 Family) SMBus Controller (rev 03) 07:00.0 Ethernet controller: Marvell Technology Group Ltd. 88E8072 PCI-E Gigabit Ethernet Controller (rev 16) 0a:01.0 FireWire (IEEE 1394): O2 Micro, Inc. Firewire (IEEE 1394) (rev 02) 0a:01.2 SD Host controller: O2 Micro, Inc. Integrated MMC/SD Controller (rev 02) 0a:01.3 Mass storage controller: O2 Micro, Inc. Integrated MS/xD Controller (rev 01) Same cards, same machine (same reader) only different OS(win7) work flawlessly. Some interesting reading I came across but is Chinese for me http://www.mail-archive.com/[email protected]/msg14598.html and another bit http://article.gmane.org/gmane.linux.kernel.mmc/11973/match=sd+card+not+recognized

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• Configuration for a two machine ESXi cluster using VSA to present local storage to VMs

  - by MDMarra

  I'm designing a little vSphere 5 cluster for one of our remote sites. We have some IBM x3650s that have 6x 300GB 10K RPM drives in them, along with dual quad core CPUs and 24GB RAM. Because we use HP P4500 G2s at our primary site, we have licenses available for HP P4000 VSAs. I thought that this would be the perfect opportunity to use them. Below is a basic drawing of what I want to accomplish: I want to run a P4000 VSA on each server and run them in a Network RAID-10 (Lefthand speak for network mirroring, think of it as RAID 1 across nodes or as an active/active storage cluster). I will then present this storage to guests that will run on this mini-cluster. It will be managed by a vCenter Server on our main site. All connections will be GbE with two dedicated to storage. Management and Data will share a pair of connections, since I don't expect there to be high load. These servers are just there to provide directory services, dhcp, printing, etc. Does anyone see anything potentially wrong with this approach? Is this the best way to do this without adding additional dedicated storage heads? Are there any pitfalls in this design, besides the lack of dedicated Data/Mgmt interfaces?

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• Sizing Switches for Storage and Production

  - by Untalented

  Couple questions. Should you always completely separate the storage network switches from production switches or are VLANs fine to segment this traffic? Is there a golden rule here? How do you properly size a switch for your environment based on the specifications the manufacturer provide (Throughput, Forwarding Throughput, Stacking Throughput, Max Mac)? If you have two switch options and one has a maximum Mac address of 8,000 vs. another with 16,0000. What does this really mean to me? How do make sure one vs. another is sized properly for me? Besides VLAN and Jumbo Frame support, is there any other "Must" haves for a virtual environments production or storage networks? There is a wealth of knowledge on sizing SANs and such, but this seems equally important and it's quite challenging to find as much information. -- Just to add some tidbits of information for the environment. This setup above is referring to the data centers which supports two different locations which have about 100 users between the two in total. The storage traffic will be iSCSI and will be 3 ESXi Hosts and one SAN housing about 2.7TB of data. Since there is currently no storage network in place (no SAN), I'm having a hard time regarding #2 to really determine what backplane throughput and switch specifications will be sufficient.

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• Unlimited and multi-computer online storage solutions with automatic backup

  - by JRL

  As the title says, what are the existing online storage solutions that provide: unlimited storage automatic backup and allow for an unlimited number of computers (use not tied to a single computer)? There are several existing questions on this site related to online storage solutions, but none that is specifically targeted to what I want, so I thought I'd ask the question. This wikipedia article lists some of them, are there others? How do they compare in terms of price, feature set and ease of use? Update: Kinda disappointed no one has any answers to this so far. JungleDisk looks promising, anyone have experience with it? Update 2: To answer the comments, what I'm looking for definitely DOES exist. These solutions all seem to fit the bill: BackMii CrashPlan DataPreserve Humyo JungleDisk KeepVault SpiderOak And some of them are quite cheap (CrashPlan is $100 a year). For unlimited space and computers, I'd say that's pretty good. Does anyone have experience with CrashPlan or any other of the above solutions?

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• Storage replication/mirror over WAN

  - by galitz

  Hello, We are looking at storage replication between two data centers (600km apart) to support an active-passive cluster design for disaster recovery. The OS layer will be mostly Windows Server 2003/2008 with some OpenSuSE Linux used for performance monitoring on VMWare or possibly XenServer. The primary application service to replicate is Nvision. Datacenter 1 will have two storage systems for local active-passive or perhaps active-active replication with Datacenter 2 used as a last resport disaster recovery site. We have a handle on most aspects, but I am looking for specific recommendations on storage platforms that can handle remote replication cleanly. Thanks.

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• Does Citrix XenServer have storage Migration

  - by Entity_Razer

  I'm trying to find out. I can't seem to find a defenitive yes / no answers so I thought I'd ask the ServerFault community this simple question: Does XenServer (in any version) support Storage migration such as VMWare's Storage VMotion capability, or Hyper-V's storage migration ? I'm trying to do a comparative study of all platforms but I can't find a website (preff. Citrix supported or any other "legit" source) where it say's a defenitive yes or no. Anyone able to answer this one for me ? Cheers !

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• Can you add preexisting storage pools in server 2012

  - by Justin

  I have been looking at Windows Server 2012's storage pools and it looks like an ideal solution for my home media center. One thing I couldn't find information on is adding a preexisting pool to a fresh server install. I ask this given the following situation: You install Windows Server 2012 and setup your storage pools You add disks over time to your pool A year later your drive with the operating system fails You replace the bad drive and reinstall server 2012. Now how do you add this preexisting storage pool full of data to your fresh install?

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• Does Citrix XenServer have storage Migration [closed]

  - by Entity_Razer

  I'm trying to find out. I can't seem to find a defenitive yes / no answers so I thought I'd ask the ServerFault community this simple question: Does XenServer (in any version) support Storage migration such as VMWare's Storage VMotion capability, or Hyper-V's storage migration ? I'm trying to do a comparative study of all platforms but I can't find a website (preff. Citrix supported or any other "legit" source) where it say's a defenitive yes or no. Anyone able to answer this one for me ? Cheers !

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• Ideas for multiplatform encrypted java mobile storage system

  - by Fernando Miguélez

  Objective I am currently designing the API for a multiplatform storage system that would offer same interface and capabilities accross following supported mobile Java Platforms: J2ME. Minimum configuration/profile CLDC 1.1/MIDP 2.0 with support for some necessary JSRs (JSR-75 for file storage). Android. No minimum platform version decided yet, but rather likely could be API level 7. Blackberry. It would use the same base source of J2ME but taking advantage of some advaced capabilities of the platform. No minimum configuration decided yet (maybe 4.6 because of 64 KB limitation for RMS on 4.5). Basically the API would sport three kind of stores: Files. These would allow standard directory/file manipulation (read/write through streams, create, mkdir, etc.). Preferences. It is a special store that handles properties accessed through keys (Similar to plain old java properties file but supporting some improvements such as different value data types such as SharedPreferences on Android platform) Local Message Queues. This store would offer basic message queue functionality. Considerations Inspired on JSR-75, all types of stores would be accessed in an uniform way by means of an URL following RFC 1738 conventions, but with custom defined prefixes (i.e. "file://" for files, "prefs://" for preferences or "queue://" for message queues). The address would refer to a virtual location that would be mapped to a physical storage object by each mobile platform implementation. Only files would allow hierarchical storage (folders) and access to external extorage memory cards (by means of a unit name, the same way as in JSR-75, but that would not change regardless of underlying platform). The other types would only support flat storage. The system should also support a secure version of all basic types. The user would indicate it by prefixing "s" to the URL (i.e. "sfile://" instead of "file://"). The API would only require one PIN (introduced only once) to access any kind of secure object types. Implementation issues For the implementation of both plaintext and encrypted stores, I would use the functionality available on the underlying platforms: Files. These are available on all platforms (J2ME only with JSR-75, but it is mandatory for our needs). The abstract File to actual File mapping is straight except for addressing issues. RMS. This type of store available on J2ME (and Blackberry) platforms is convenient for Preferences and maybe Message Queues (though depending on performance or size requirements these could be implemented by means of normal files). SharedPreferences. This type of storage, only available on Android, would match Preferences needs. SQLite databases. This could be used for message queues on Android (and maybe Blackberry). When it comes to encryption some requirements should be met: To ease the implementation it will be carried out on read/write operations basis on streams (for files), RMS Records, SharedPreferences key-value pairs, SQLite database columns. Every underlying storage object should use the same encryption key. Handling of encrypted stores should be the same as the unencrypted counterpart. The only difference (from the user point of view) accessing an encrypted store would be the addressing. The user PIN provides access to any secure storage object, but the change of it would not require to decrypt/re-encrypt all the encrypted data. Cryptographic capabilities of underlying platform should be used whenever it is possible, so we would use: J2ME: SATSA-CRYPTO if it is available (not mandatory) or lightweight BoncyCastle cryptographic framework for J2ME. Blackberry: RIM Cryptographic API or BouncyCastle Android: JCE with integraced cryptographic provider (BouncyCastle?) Doubts Having reached this point I was struck by some doubts about what solution would be more convenient, taking into account the limitation of the plataforms. These are some of my doubts: Encryption Algorithm for data. Would AES-128 be strong and fast enough? What alternatives for such scenario would you suggest? Encryption Mode. I have read about the weakness of ECB encryption versus CBC, but in this case the first would have the advantage of random access to blocks, which is interesting for seek functionality on files. What type of encryption mode would you choose instead? Is stream encryption suitable for this case? Key generation. There could be one key generated for each storage object (file, RMS RecordStore, etc.) or just use one for all the objects of the same type. The first seems "safer", though it would require some extra space on device. In your opinion what would the trade-offs of each? Key storage. For this case using a standard JKS (or PKCS#12) KeyStore file could be suited to store encryption keys, but I could also define a smaller structure (encryption-transformation / key data / checksum) that could be attached to each storage store (i.e. using addition files with the same name and special extension for plain files or embedded inside other types of objects such as RMS Record Stores). What approach would you prefer? And when it comes to using a standard KeyStore with multiple-key generation (given this is your preference), would it be better to use a record-store per storage object or just a global KeyStore keeping all keys (i.e. using the URL identifier of abstract storage object as alias)? Master key. The use of a master key seems obvious. This key should be protected by user PIN (introduced only once) and would allow access to the rest of encryption keys (they would be encrypted by means of this master key). Changing the PIN would only require to reencrypt this key and not all the encrypted data. Where would you keep it taking into account that if this got lost all data would be no further accesible? What further considerations should I take into account? Platform cryptography support. Do SATSA-CRYPTO-enabled J2ME phones really take advantage of some dedicated hardware acceleration (or other advantage I have not foreseen) and would this approach be prefered (whenever possible) over just BouncyCastle implementation? For the same reason is RIM Cryptographic API worth the license cost over BouncyCastle? Any comments, critics, further considerations or different approaches are welcome.

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• Dirty Cache Dell Equallogic Storage Array

  - by Jermal Smith

  has anyone ever run into a dirty cache issue with a Equallogic SAN. Even after replacement of the controller cards in the Equallogic Storage Array fails offline with a dirty cache. I have listed steps here on my blog to bring the SAN online again, however this is not the best solution as it continues to fail. http://jermsmit.com/dirty-cache-dell-equallogic-storage-array/ If you have any info on this please share. Thanks, Jermal

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• Critique My Backup and Storage Plan

  - by MetaHyperBolic

  My current storage (RAID-1 off of a hardware RAID card) and backup (a spare drive) solutions for my home network are inadequate. I have too much data scattered on various one-off drives. It is time to evolve. Backups seem simple enough, at least: lots of big drives. However, I am bewildered by the number of choices for small home storage. The Drobo S looks appealing. So does the ReadyNAS. I am not looking for bunches of shiny features, I'm mostly interested in reliability. I am not interested in building Yet Another PC to create a file server or doing something in the cloud, or whatever. I'm stupid, so I am keeping it simple. Requirements for Main Volume: Starting working space roughly 2TB, with options for growth up to 5TB RAID or something RAID-like with at least one parity drive eSATA II for speed during backups Ability to shut down gracefully when alerted of low power by a UPS Optional but Desirable: Will take 2TB drives now with options for the larger 3TB drives coming in 2010-2011 Optional but Desirable: : RAID-6 or something similar, with two parity drives Optional but Desirable: : Hot spare Ethernet connection not required, as the volume will be shared via the same machines which runs my home print server Backups: Backup performed via ROBOCOPY in mirror mode to an external hard drive via a eSATA II connection. Start with rotating between two external 2TB hard drives, will go up to six external 2TB drives. Start with a weekly backup, move to a bi-weekly backup as more drives are added. Move to 3TB drives as the size of my main volume increases. Backup drives will be stored on an off-site location. Hard drives: I plan on buying all of the same model, but different batches from different vendors. I found a "burn-in" utility with which I can pound away on the drives for a couple of weeks before adding them to the backup pool or the main volume. I estimate that I am looking at roughly $1,500 to start, once I start throwing in two TB drives for backup and four for storage. So, are there any obvious flaws in my plan? What have I overlooked? Any suggestions for the storage device for my main volume that fits my requirements? Or do I just keep it simple, 2 drives in RAID-1, then perform due diligence with my backups, accepting that I will have to buy a whole new unit when my data grows past 2TB?

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• tabs and spaces

  - by Mark

  People have been telling me to use spaces for indents, rather than tabs. But is it just me or is it a pain to hit the space bar 4, 8, times every few lines? Is there something I'm missing? Thanks.

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• Enforce "spaces" or "tabs" only in python files ?

  - by edomaur

  In Python, is there a mean to enforce the use of spaces or tabs indentation with a per file basis ? Well, perhaps "enforce" is too strong, its more like "recommands". I keep getting files with mixed indentation and this is annoying... (to say the least) Python itself can tell when there is a problem, but I am searching something to do that at the editor level, like it exists for the charset.

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• Notepad++ tabs to spaces

  - by Helephant

  Does anyone know how to convert tabs to spaces in Notepad++? I found a webpage that suggests it's possible (http://www.texteditors.info/notepad-replacements-compared.php) but I couldn't find any information about how to do it. I like to be able to do that because some web forms don't respect code with tabs in it.

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• Temporary file storage - script for webserver

  - by Chris

  I'm looking for a script (preferably php) which I can use for to temporarily exchange files. I had such a script before (it was written in flash), but - damn - just can't find it anymore. Here the features I'm looking for: I have a logon, which allows me to create "upload spaces". for these "upload spaces" I define a time how long the space will be available for (until the files are deleted), and who can access it - in the means of typing in an email, and that user gets a link with the "online space", user ID and password. the other user then clicks on the link and uploads the file, and I get (preferably) an email should there be any file changes I get an email before the content gets deleted Now, 3 additional things: - it should be open- source - run on linux (preferably lamp) - no, I dont wanna use dropbox or similar :p Thanks in advance everybody, Cheers Chris

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• Algorithms for Data Redundancy and Failover for distributed storage system?

  - by kennetham

  I'm building a distributed storage system that works with different storage sizes. For instance, my storage devices have sizes of 50GB, 70GB, 150GB, 250GB, 1000GB, 5 storage systems in one system. My application will store any files to the storage system. Question: How can I build a distributed storage with the idea of data redundancy and fail-over to store documents, videos, any type of files at the same time ensuring that should one of any storage devices fail, there would be another copy of these files on another storage device. However, the concern is, 50GB of storage can only store this maximum number of files as compared to 70GB, 150GB etc. With one storage in mind, bringing 5 storage systems like a cloud storage, is there any logical way to distribute or store the files through my application? How do I ensure data redundancy through different storage sizes? Is there any algorithm to collate multiple blob files into a single file archive? What is the best solution for one cloud storage with multiple different storage sizes? I open this topic with the objective of discussing the best way to implement this idea, assuming simplicity, what are the issues of this implementation, performance measurements and discussion of the limitations.

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