Title: Improving the scalability of cloud monitoring service by low communication overhead mechanisms

Authors: Peng Xiao

Addresses: School of Computer and Communication, Hunan Institute of Engineering, Xiangtan City, Hunan Province 411104, China

Abstract: With the rapid growth of cloud platforms, an effective monitoring service is playing a more and more important role to provide enhanced quality-of-service (QoS) for a variety of cloud users and providers. Unfortunately, the overhead of large-scale monitoring on a large number of cloud resources tends to be prohibitive and brings a lot of negative effects. In this paper, we present three effective mechanisms, including sliding-window monitoring mechanism, monitoring event mining and filtering mechanism, and self-tuning data transferring mechanism, to handle with different kinds of communication overhead. A set of experiments are conducted to evaluate the proposed mechanisms in a real-world cloud platform, and the results indicate these mechanisms are very helpful to reduce the communication overhead in different monitoring scenarios.

Keywords: cloud computing; information monitoring; quality of service; scalability; metadata management; virtual machine.

DOI: 10.1504/IJNVO.2020.107957

International Journal of Networking and Virtual Organisations, 2020 Vol.23 No.1, pp.67 - 81

Received: 14 Nov 2018
Accepted: 16 Jan 2019

Published online: 05 Apr 2020 *

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