Cluster Performance Forecasting Using Predictive Modeling for Virtual Beowulf Clusters

Authors:
Abhijit Rao;Rajat Upadhyay;Nirav Shah;Sagar Arlekar;Jayanth Raghothamma;Shrisha Rao
Affiliations:
International Institute of Information Technology, Bangalore, India;International Institute of Information Technology, Bangalore, India;International Institute of Information Technology, Bangalore, India;International Institute of Information Technology, Bangalore, India;International Institute of Information Technology, Bangalore, India;International Institute of Information Technology, Bangalore, India
Venue:
ICDCN '09 Proceedings of the 10th International Conference on Distributed Computing and Networking
Year:
2009

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Abstract

In this paper we discuss our implementation of a virtual Beowulf cluster, and the results of experiments using which we have built a predictive model. Estimating a cluster's performance is difficult, and investing in a real cluster without any idea of the performance that will be delivered is not recommended. We aim to suggest a way to address this problem by using a virtual Beowulf cluster. A virtual Beowulf cluster is a virtualized setup to simulate and understand the working of a real Beowulf cluster, but without extensive investments in hardware. This virtual setup is used to build a predictive model.