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Economic Models for Resource Management and Scheduling in Grid Computing Rajkumar Buyya, David Abramson, Jonathan Giddy, and Heinz Stockinger
 

Summary: 1
Economic Models for Resource Management and Scheduling in Grid Computing
Rajkumar Buyya, David Abramson, Jonathan Giddy, and Heinz Stockinger
CRC for Enterprise Distributed Systems Technology
School of Computer Science and Software Engineering
Monash University, Melbourne, Australia
CMS Experiment, Computing Group
CERN, European Organization for Nuclear Research
CH-1211 Geneva 23, Switzerland
Email: {rajkumar, jon, davida}@csse.monash.edu.au, Heinz.Stockinger@cern.ch
Abstract: The accelerated development in Peer-to-Peer (P2P) and Grid computing has positioned them as promising
next generation computing platforms. They enable the creation of Virtual Enterprises (VE) for sharing resources
distributed across the world. However, resource management, application development and usage models in these
environments is a complex undertaking. This is due to the geographic distribution of resources that are owned by
different organizations or peers. The resource owners of each of these resources have different usage or access
policies and cost models, and varying loads and availability. In order to address complex resource management
issues, we have proposed a computational economy framework for resource allocation and for regulating supply and
demand in Grid computing environments. This framework provides mechanisms for optimizing resource provider and
consumer objective functions through trading and brokering services. In a real world market, there exist various
economic models for setting the price of services based on supply-and-demand and their value to the user. They

  

Source: Abramson, David - Caulfield School of Information Technology, Monash University

 

Collections: Computer Technologies and Information Sciences