Applying a Stochastic Model to a Dynamic, QoS Enabled Web Services Hosting Environment | Zendy

C. Kubicek | Zendy

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Applying a Stochastic Model to a Dynamic, QoS Enabled Web Services Hosting Environment

Author(s) -

C. Kubicek

Publication year - 2006

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2006.03.013

Subject(s) - quality of service , computer science , middleware (distributed applications) , mobile qos , web service , computer network , service (business) , server , grid , resource (disambiguation) , distributed computing , database , world wide web , service provider , business , geometry , mathematics , marketing

Data centres which host Web services for other organisations and users in a Grid environment must provide for Quality of Service (QoS) requirements to be specified to ensure deployed services perform as desired. As services hosted by a data centre receive unpredictable rates of demand, servers must be allocated dynamically to service pools that are over utilised to avoid breaking QoS requirements. This work describes how a cost based stochastic model for resource allocation is used in data centre middleware to balance server utilisation, and how the model was used to enable a data centre to meet QoS requirements. The stochastic QoS model is compared to two other QoS models and is shown to be the most effective in a number of experiments

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