? 一种基于分布式共享存储的计算迁移模式的远程I/O支持的评估方法
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Journal of Computer Science and Technology 2017, Vol. 32 Issue (5) :957-973    DOI: 10.1007/s11390-017-1775-2
Computer Networks and Distributed Computing << Previous Articles | Next Articles >>
一种基于分布式共享存储的计算迁移模式的远程I/O支持的评估方法
Yuhun Jun, Jaemin Lee, Euiseong Seo*
College of Software, Sungkyunkwan University, Suwon 16419, Korea
Evaluation of Remote-I/O Support for a DSM-Based Computation Offloading Scheme
Yuhun Jun, Jaemin Lee, Euiseong Seo*
College of Software, Sungkyunkwan University, Suwon 16419, Korea

摘要
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摘要 计算迁移使得移动设备能通过使用服务器系统大量的计算资源,从而执行丰富的应用。基于分布式共享存储(DSM)的计算迁移方法有望在近期变得更为流行,因为它能动态地将正在执行的线程迁移到计算节点,并且不需要现有的应用进行任何的修改。但是,已有的基于DSM的计算迁移模式,侧重于有效地迁移计算密集型应用,并没有考虑由于处理被迁移的线程的I/O请求而导致的性能的显著下降。因为大多数移动应用是交互型的,有频繁的I/O请求,有效地处理I/O操作至关重要。本文使用代表性的社区引用,量化分析了基于DSM的计算迁移机制的I/O处理而导致的性能下降。进而,为弥补性能的降低,我们使用了基于远程设备支持的远程I/O模式来进行计算的迁移。所提出的方法,相对于已有的迁移模式,节省了多达43.6%的执行时间和17.7%的能量消耗,远程I/O/模式的选择性压缩减少了53.5%的网络流量。
关键词计算迁移   移动云计算   分布式共享存储(DSM)   移动计算     
Abstract: Computation offloading enables mobile devices to execute rich applications by using the abundant computing resources of powerful server systems. The distributed shared memory based (DSM-based) computation offloading approach is expected to be especially popular in the near future because it can dynamically migrate running threads to computing nodes and does not require any modifications of existing applications to do so. The current DSM-based computation offloading scheme, however, has focused on efficiently offloading computationally intensive applications and has not considered the significant performance degradation caused by processing the I/O requests issued by offloaded threads. Because most mobile applications are interactive and thus yield frequent I/O requests, efficient handling of I/O operations is critically important. In this paper, we quantitatively analyze the performance degradation caused by I/O processing in DSM-based computation offloading schemes using representative commodity applications. To remedy the performance degradation, we apply a remote I/O scheme based on remote device support to computation offloading. The proposed approach improves the execution time by up to 43.6% and saves up to 17.7% of energy consumption in comparison with the existing offloading schemes. Selective compression of the remote I/O scheme reduces the network traffic by up to 53.5%.
Keywordscomputation offloading   mobile-cloud computing   distributed shared memory (DSM)   mobile computing     
Received 2016-05-30;
本文基金:

This research was supported by the Basic Science Research Program funded by the Ministry of Education of Korea under Grant No. 2015R1D1A1A0057749 and the Research on High Performance and Scalable Manycore OS funded by the MSIP (Ministry of Science and ICT), Korea, under Grant No. B0101-15-0644.

通讯作者: Euiseong Seo,euiseong@skku.edu     Email: euiseong@skku.edu
About author: Yuhun Jun received his B.S. degree in electrical and computer engineering from Dankook University, Yong-in, in 2009. He is currently a senior engineer at the Flash Software Development Team in the memory business unit of Samsung Electronics Co., Ltd. His research interests include operating systems, embedded systems, and flash-based storage systems.
引用本文:   
Yuhun Jun, Jaemin Lee, Euiseong Seo.一种基于分布式共享存储的计算迁移模式的远程I/O支持的评估方法[J]  Journal of Computer Science and Technology , 2017,V32(5): 957-973
Yuhun Jun, Jaemin Lee, Euiseong Seo.Evaluation of Remote-I/O Support for a DSM-Based Computation Offloading Scheme[J]  Journal of Computer Science and Technology, 2017,V32(5): 957-973
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