Method for Optimizing Network Throughput in Embedded Network Virtualization Environment

Abstract

The present invention provides a method for optimizing network throughput in an embedded network virtualization environment, which aggregates multiple hypercalls into one hypercall through an aggregation timer, and the aggregation interval time can be based on the predicted arrival of the next I / O request The time is automatically adjusted, which significantly reduces the number of context switches between the client and the host, saves a lot of CPU resources to handle more network I / O, and can reduce the delay of data transmission under low network traffic conditions. Through the experiment of the inventor, it can be found that compared with the traditional method, the AHC method can increase the throughput of Netperf, Apache and Memcached 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...

AI Technical Summary

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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