Autonomic QoS control in enterprise Grid environments using online simulation |
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Authors: | Ramon Nou [Author Vitae] Samuel Kounev [Author Vitae] |
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Affiliation: | a Barcelona Supercomputing Center (BSC), Technical University of Catalonia (UPC), Barcelona, Spain b Computer Laboratory, University of Cambridge, UK |
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Abstract: | As Grid Computing increasingly enters the commercial domain, performance and quality of service (QoS) issues are becoming a major concern. The inherent complexity, heterogeneity and dynamics of Grid computing environments pose some challenges in managing their capacity to ensure that QoS requirements are continuously met. In this paper, a comprehensive framework for autonomic QoS control in enterprise Grid environments using online simulation is proposed. This paper presents a novel methodology for designing autonomic QoS-aware resource managers that have the capability to predict the performance of the Grid components they manage and allocate resources in such a way that service level agreements are honored. Support for advanced features such as autonomic workload characterization on-the-fly, dynamic deployment of Grid servers on demand, as well as dynamic system reconfiguration after a server failure is provided. The goal is to make the Grid middleware self-configurable and adaptable to changes in the system environment and workload. The approach is subjected to an extensive experimental evaluation in the context of a real-world Grid environment and its effectiveness, practicality and performance are demonstrated. |
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Keywords: | Grid Simulation Resource management Autonomic Virtualization |
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