Improving Server Performance
The embedded system software consists of the messaging layer, TCP/IP stack, device driver and RTOS.
The messaging layer is the portion of the software that takes messages from the OSM, parses them and makes the socket call into the TCP/IP stack. This layer also takes replies from the network stack and sends the appropriate reply to the OSM. To improve performance and minimize the effects of latency inherent in split-driver systems, the messaging layer batches, replies and pipelines requests.
The embedded TCP/IP stack is a zero copy implementation of the BSD 4.2 stack. It provides all of the functionality of a networking stack to the messaging layer. Like all the software that runs on the IOP, the stack has been optimized for running on the Intel 80310 I/O processor chipset with Intel XScale microarchitecture (ARM-architecture compliant). Benchmarks were performed on the TCP/IP stack during optimization to ensure that it would perform well across all sizes of data traffic.
The HDM was written to take advantage of all the offloading capabilities of the NIC hardware. This includes TCP and IP checksums on transmit and receive, segmentation of large TCP packets (larger than 1,500 bytes) and interrupt batching supported by the chip. The NIC silicon chips supported were the Intel 82550 Fast Ethernet Mu.pngunction PCI/CardBus Controller and the Intel 82543GC Gigabit Ethernet Controller.
The RTOS is a proprietary OS that has been designed for the demands of complex I/O operations. This OS is fully I2O-compliant. It was chosen in part because of the willingness of the designers to make modifications to the OS for the prototyping efforts.
As described before, the socket calls made by the application layer are converted into messages that are sent across the PCI bus and to the I/O processor. This embedded system is a complete computer for performing I/O transactions. It consists of a processor, memory, RTOS and a PCI bus. Because it is designed for I/O, it will minimize the effects of context switching. Once a message reaches the IOP, it is parsed. The socket call that was requested by the application is then called on the embedded network stack. A reply message is sent to the OSM once the socket operation is completed.
The benchmark tests that were run using the prototype showed that the offloading of the TCP/IP stack significantly reduced both CPU utilization and the number of interrupts to the host processor. With a heavily loaded machine, the offloaded stack was able to maintain overall network performance and host CPU cycles were able to remain dedicated to the workload applications. In a native machine, the host processors were interrupted far more frequently, and the network application suffered from CPU resource starvation resulting in the network performance degradation.
As the subject of iSCSI (storage over IP by encapsulating SCSI in a TCP/IP packet) starts to heat up, desire for minimizing network overhead will continue to grow. Efforts used in moving the TCP/IP stack to an IOP quickly could shift to providing a full-featured TCP/IP stack at the back end of an intelligent iSCSI adaptor. This would minimize the impact of iSCSI to a Linux platform by making it available via the normal SCSI API. To compete with Fibre Channel, iSCSI must provide comparable performance.
Another future enhancement is that embedded Linux will be used for the RTOS. At the start of this prototyping effort, an Intel i960 RM/RN processor was used, and embedded Linux was not available. Since then, the Intel XScale microarchitecture has been introduced, enabling the adoption of the embedded Linux that is available for Intel StrongARM core. Porting of Linux-based StrongARM Linux to the XScale microarchitecture will be completed by the end of the year.
There were several goals behind this prototype effort: 1) to demonstrate that the enhanced performance achieved by offloading network tasks from the host processor reduces the host processor cycles otherwise consumed by processing of network data, 2) to show that the use of specialized software on the iNIC performs the same networking tasks while maintaining overall network performance and 3) to enable the use of I/O processors to work in conjunction with the host processors to handle the network traffic, thereby maximizing performance of a Linux-based server at minimal cost.
Offloading the TCP/IP protocol to a specialized networking software environment using embedded processors is an effective way of improving system performance. With the advancement of high-speed network deployments and adoption of network storage, TCP/IP will inevitably play an important role.
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.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
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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
- Managing Linux Using Puppet
- Non-Linux FOSS: Caffeine!
- SUSE LLC's SUSE Manager
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- Parsing an RSS News Feed with a Bash Script
- Doing for User Space What We Did for Kernel Space
- Google's SwiftShader Released
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