2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2011)
June 27, 2011 to June 29, 2011
The rapidly spreading cloud computing paradigm delegates to the network the provision of most resources, even those strictly linked to hardware as storage and CPU time. This approach enables the development of applications which may exploit a variable amount of resources in a flexible way, so as to satisfy the actual load of requests coming from the users. A side effect of such flexibility is that optimization has to be more focused on user-perceived performance indexes than on resource usage. This paper takes a step in this direction, presenting the design and development of CHASE, an autonomic engine designed to optimize the scheduling of virtual machines in a cloud environment. The paper illustrates the CHASE architecture and its application in two different contexts: in PerfCloud, an environment for IaaS provision based on cloud and grid integration, and inside Cloud@Home, a project whose objective is to build a cloud using volunteer-based resources. Some preliminary experimental results based on HPC applications are presented.
Scheduling, Cloud Computing, Autonomic Computing, Grid Computing, Performance Prediction
M. Rak, A. Cuomo and U. Villano, "CHASE: An Autonomic Service Engine for Cloud Environments," 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises(WETICE), Paris, France, 2011, pp. 116-121.