High-Performance Networking Programming in C
TCP has been a field of intense research for decades. It's an extremely complex protocol with a heavy responsibility on the Internet. We often forget that TCP is what holds the Internet together without collapse due to congestion. IP connects networks together, but TCP ensures that routers are not overloaded and that packets do not get lost.
Consequently, the impact of TCP on performance is higher than any other protocol today. It is no wonder that top-notch researchers have written several papers on the topic.
The Internet is anything but homogeneous. There is every possible physical layer of technology on which TCP/IP works today. But, TCP is not designed for working well through wireless networks. Even a high-latency satellite link questions some of TCP's assumptions on window size and round-trip time measurement.
And, TCP is not without its share of defects. The congestion control algorithms, such as slow start, congestion avoidance, fast retransmit, fast recovery and so on, sometimes fail. When this happens, it hurts your performance. Normally, three duplicate ACK packets are sufficient for triggering congestion control mechanisms. No matter what you do, these mechanisms can drastically decrease performance, especially if you have a very high-speed network.
But, all else being equal, the above techniques are few of the most useful methods for achieving good performance for your applications.
Gunning for very high performance is not something to be taken lightly. It's dependent on heuristics and empirical data as well as proven techniques. As I mentioned previously, it is an art best perfected by practice, and it's also an iterative process. However, once you get a feel for how things work, it will be smooth sailing. The moment you build a stable base for a fast client/server interaction like this, building powerful P2P frameworks on top is no great hassle.
Polipo User Manual: www.pps.jussieu.fr/~jch/software/polipo/manual
TCP Tuning and Network Troubleshooting: www.onlamp.com/pub/a/onlamp/2005/11/17/tcp_tuning.html
Wikipedia's Definition of Bandwidth: en.wikipedia.org/wiki/Bandwidth
Advanced Networking Techniques: beej.us/guide/bgnet/output/html/multipage/advanced.html
TCP and Congestion Control Slides: www.nishida.org/soi1/mgp00001.html
Girish Venkatachalam is an open-source hacker deeply interested in UNIX. In his free time, he likes to cook vegetarian dishes and actually eat them. He can be contacted at firstname.lastname@example.org.
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
- SUSE LLC's SUSE Manager
- Non-Linux FOSS: Caffeine!
- 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