Expanding Options for Clustering
Finally, some applications do require physically shared disks. However, because shared SCSI remains an unusual configuration, putting together complete systems using this approach requires care—often complete hardware/software system certification by a vendor. (When was the last time you checked your disk firmware level?) Even when this is all arduously put together, as we have seen, there are severe limitations on both the number of nodes that can share data over SCSI and possible physical cable layouts. Fiber channel relaxes some of these limitations but comes with drawbacks of its own, including steep price points, problems with multivendor interoperability and a set of management issues unfamiliar to many users of Linux thin servers.
The next year will see a huge change in the face of shared storage. Industry leaders are pushing two new major storage interconnects that will make shared storage available at a price point appropriate for thin servers that will also support sharing by large node counts seen in Internet data centers. Cisco and hot startups like 3ware are backing SCSI-over-IP, which will allow SCSI block protocols to run over a switched Ethernet fabric. Intel and the server vendors are lining up behind a new I/O standard called Infiniband. It will provide a switched I/O fabric that could eventually be implemented in the chip sets included on every commodity server motherboard. Indeed, these developments are complementary—Gigabit Ethernet cards will be able to sit on the Infiniband fabric and run the SCSI-over-IP protocols. As a consequence, we can look forward to having dozens or even hundreds of systems share storage over modern interconnects in the near future. Clustering solutions that provide the basis for using these interconnects to create truly manageable and scalable distributed solutions out of sets of Linux boxes will set the tone for the data center architectures of the future.
Ken Dove is chief architect of PolyServe, Inc. Previously, he was a distinguished engineer at IBM and before that principal software architect at Sequent Computer Systems for 12 years.
Practical Task Scheduling Deployment
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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|The Firebird Project's Firebird Relational Database||Jul 29, 2016|
|Stunnel Security for Oracle||Jul 28, 2016|
|SUSE LLC's SUSE Manager||Jul 21, 2016|
|My +1 Sword of Productivity||Jul 20, 2016|
|Non-Linux FOSS: Caffeine!||Jul 19, 2016|
|Murat Yener and Onur Dundar's Expert Android Studio (Wrox)||Jul 18, 2016|
- The Firebird Project's Firebird Relational Database
- Stunnel Security for Oracle
- My +1 Sword of Productivity
- Non-Linux FOSS: Caffeine!
- SUSE LLC's SUSE Manager
- Managing Linux Using Puppet
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- Parsing an RSS News Feed with a Bash Script
- Google's SwiftShader Released
- Doing for User Space What We Did for Kernel Space
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide