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Residency Aware Inter-VM Communication in Virtualized Cloud: Performance Measurement and Analysis

Published: 28 June 2013 Publication History

Abstract

A known problem for virtualized cloud data centers is the inter-VM communication inefficiency for data transfer between co-resident VMs. Several engineering efforts have been made on building a shared memory based channel between co-resident VMs. The implementations differ in terms of whether user/program transparency, OS kernel transparency or VMM transparency is supported. However, none of existing works has engaged in an in-depth measurement study with quantitative and qualitative analysis on performance improvements as well as tradeoffs introduced by such a residency-aware inter-VM communication mechanism. In this paper we present an extensive experimental study, aiming at addressing a number of fundamental issues and providing deeper insights regarding the design of a shared memory channel for co-resident VMs. Example questions include how much performance gains can a residency-aware shared memory inter-VM communication mechanism provide under different mixtures of local and remote network I/O workloads, what overhead will the residence-awareness detection and communication channel switch introduce over the remote inter-VM communication, what factors may exert significant impact on the throughput and latency performance of such a shared memory channel. We believe that this measurement study not only helps system developers to gain valuable lessons and generate new ideas to further improve the inter-VM communication performance. It also offers new opportunities for cloud service providers to deploy their services more efficiently and for cloud service consumers to improve the performance of their application systems running in the Cloud.

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  • (2024)Effective federated graph matchingProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3694646(62257-62293)Online publication date: 21-Jul-2024
  • (2020)Improving Collaborative Filtering with Social Influence over Heterogeneous Information NetworksACM Transactions on Internet Technology10.1145/339750520:4(1-29)Online publication date: 15-Oct-2020
  • (2016)VirtTorrentProceedings of the International Conference on Internet of things and Cloud Computing10.1145/2896387.2896405(1-7)Online publication date: 22-Mar-2016
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cover image Guide Proceedings
CLOUD '13: Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing
June 2013
982 pages
ISBN:9780769550282

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IEEE Computer Society

United States

Publication History

Published: 28 June 2013

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View all
  • (2024)Effective federated graph matchingProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3694646(62257-62293)Online publication date: 21-Jul-2024
  • (2020)Improving Collaborative Filtering with Social Influence over Heterogeneous Information NetworksACM Transactions on Internet Technology10.1145/339750520:4(1-29)Online publication date: 15-Oct-2020
  • (2016)VirtTorrentProceedings of the International Conference on Internet of things and Cloud Computing10.1145/2896387.2896405(1-7)Online publication date: 22-Mar-2016
  • (2016)Shared-Memory Optimizations for Inter-Virtual-Machine CommunicationACM Computing Surveys10.1145/284756248:4(1-42)Online publication date: 9-Feb-2016
  • (2016)Workload Adaptive Shared Memory Management for High Performance Network I/O in Virtualized CloudIEEE Transactions on Computers10.1109/TC.2016.253286565:11(3480-3494)Online publication date: 1-Nov-2016

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