Method for optimizing network throughput in virtualization environment of embedded network

Abstract

The invention provides a method for optimizing network throughput in a virtualization environment of an embedded network. According to the method, a plurality of hypercalls are aggregated into one hypercall through an aggregation timer, the aggregation interval time can be automatically adjusted according to the arriving time of a predicted next I/O request, in this way, the frequency for context switching of a client and a host machine is remarkably lowered, and a lot of CPU resources are saved so that more network I/Os can be processed; meanwhile, a delay of data transmission can be reduced under the condition of low network traffic. Through experiments of the inventor, it can be found that compared with a traditional method, the AHC method enables the throughput of Netperf, the throughput of Apache and the throughput of Memcached to be increased by 221.14%, 146.23% and 257.42% respectively.

Description

technical field [0001] The invention relates to an embedded system, in particular to a method for optimizing network throughput in an embedded network virtualization environment and an autonomous hypercall aggregation method. Background technique [0002] Embedded systems are special-purpose systems that perform a few tasks. Different from traditional x86 platforms, embedded environments have the characteristics of low power consumption and weak computing power, and have different performance models. Embedded systems need frequent interactions with the physical world, but due to the resource constraints of embedded systems, the performance of I / O virtualization in embedded virtualization environments has become an important technical indicator of embedded virtualization technology. In the embedded virtualization environment, the performance of I / O virtualization needs to ensure that the overall performance of the hardware device is stable within a certain expansion range, an...

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Problems solved by technology

The paravirtualized I / O virtualization has better performance, but its disadvantage is that the virtual machine needs to modify the system driver to realize the correspondence between the front and back end drivers; the third is hardware-supported virtualization, through hardware support, virtual After the authorization of VMM, the computer system can directly access the hardware device without forwarding the request of VMM.

This bottleneck shows that the CPU utilization rate is completely saturated when the number of clients is 2 or more, that is to say, the system cannot process more data packets quickly, and almost all CPU clocks are used to process network data transmission and reception. In this process, the main overhead is the switching between the client and the host (VM Exit).

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