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  1. Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science (MGC '10)
  2. Resource allocation across multiple cloud data centres
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CRM-OO-VM: a checkpointing-enabled Java VM for efficient and reliable e-science applications in grids
Multi-domain grid/cloud computing through a hierarchical component-based middleware
A scheduling model for workflows on grids and clouds
Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers
Resource allocation across multiple cloud data centres
Optimizing the pre-processing of scientific visualization techniques using QEF
A middleware for parallel processing of large graphs
Mooshabaya: mashup generator for XBaya
The dark energy survey data management system as a data intensive science gateway
BISSA: empowering web-gadget communication with tuple spaces

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Resource allocation across multiple cloud data centres

Content Provider ACM Digital Library
Author Pietzuch, Peter Malet, Barnaby
Abstract Web applications with rich AJAX-driven user interfaces make asynchronous server-side calls to switch application state. To provide the best user experience, the response time of these calls must be as low as possible. Since response time is bounded by network delay, it can be minimised by placing application components closest to the network location of the majority of anticipated users. However, with a limited budget for hosting applications, developers need to select data centre locations strategically. In practice, the best choice is difficult to achieve manually due to dynamic client workloads and effects such as flash crowds. In this paper, we propose a cloud management middleware that automatically adjusts the placement of web application components across multiple cloud data centres. Based on observations and predictions of client request rates, it migrates application components between data centres. Our evaluation with two data centres and globally distributed clients on PlanetLab shows that our approach can decrease median client response times by 21% for a realistic multi-tier web application.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450304535
DOI 10.1145/1890799.1890804
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-11-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Cloud computing Resource allocation Web applications Management middleware
Content Type Text
Resource Type Article
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