Semantic resource allocation with historical data based predictions

Ejarque, Jorge and Micsik, András and Sirvent, Raul and Pallinger, Péter and Kovács, László and Badia, Rosa M. (2010) Semantic resource allocation with historical data based predictions. In: Cloud computing 2010. The First international conference on cloud computing, GRIDs, and virtualization. Lisbon, 2010..

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Abstract

One of the most important issues for Service Providers in Cloud Computing is delivering a good quality of service. This is achieved by means of the adaptation to a changing environment where different failures can occur during the execution of different services and tasks. Some of these failures can be predicted taking into account the information obtained from previous executions. The results of these predictions will help the schedulers to improve the allocation of resources to the different tasks. In this paper, we present a framework which uses semantically enhanced historical data for predicting the behavior of tasks and resources in the system, and allocating the resources according to these predictions.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: multi-agent, semantics, scheduling, resource al- location, historical data, predictions, grid computing, cloud computing, distributed systems
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Department of Distributed Systems
Depositing User: Eszter Nagy
Date Deposited: 11 Dec 2012 16:29
Last Modified: 21 Jan 2013 14:23
URI: http://eprints.sztaki.hu/id/eprint/6182

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