A proactive system to allocate virtual machines in clouds using autoregression
Authors: 
Jasmeet Singh, Marc St-Hilaire, Shikharesh Majumdar, Jordan Kurosky, Sibyl WengAuthors Info & Claims
Jasmeet Singh, Marc St-Hilaire, Shikharesh Majumdar, Jordan Kurosky, Sibyl WengAuthors Info & ClaimsPages 336 - 343
Abstract
As companies shift from traditional desktop applications to a cloud-based environment, the end user experience becomes extremely important in a competitive cloud computing industry. Therefore, from the cloud provider perspective, reducing the user waiting time and the number of idle resources are two challenging tasks. In this paper, we propose a new proactive system to allocate virtual machines in a cloud computing environment to reduce both the user waiting time as well as the number of idle resources. The proactive system uses time series analysis/forecasting to make decisions based on the behavior of the users. Therefore, with minimal user intervention, incoming requests from the clients are handled by a pool manager which takes smart decisions. To demonstrate the viability of the proposed system, we also built a prototype using the Citrix XenServer. The performance analysis shows that the proactive system reduces the user waiting time while simultaneously reducing the number of idle resources. This paper presents our experience with the building and analysis of the proactive system performed in collaboration with DLS Technology Corporation.
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Published In
November 2019
421 pages
Publisher
IBM Corp.
United States
Publication History
Published: 04 November 2019
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