Srikumar Venugopal

Learn More
With the significant advances in Information and Communications Technology (ICT) over the last half century, there is an increasingly perceived vision that computing will one day be the 5th utility (after water, electricity, gas, and telephony). This computing utility, like all other four existing utilities, will provide the basic level of computing service(More)
This keynote paper: presents a 21<sup>st</sup> century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; provides thoughts on market-based resource management(More)
Data Grids have been adopted as the next generation platform by many scientific communities that need to share, access, transport, process, and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this article, we discuss the key(More)
This work identifies challenges in managing resources in a Grid computing environment and proposes computational economy as a metaphor for effective management of resources and application scheduling. It identifies distributed resource management challenges and requirements of economy-based Grid systems, and discusses various representative economy-based(More)
1 GRIDS Laboratory, Dept. of Computer Science & Software Engineering, The University of Melbourne, Australia. Email: {anthony, srikumar, raj}@csse.unimelb.edu.au Phone: +61 3 8344-1344; Fax: +61 3 9348-1184. 2 Faculty of Computer & Information Science, The University of Ljubljana, 25 Trzaska, 1000 Ljubljana, Slovenia. Email: {uros.cibej,(More)
1Grid Computing and Distributed Systems Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Parkville, Melbourne, VIC 3010, Australia 2Gippsland School of Computing and Information Technology, Monash University, Gippsland Campus, Churchill, VIC 3842, Australia 3School of Computer Science and Software(More)
Large communities of researchers distributed around the world are engaged in analyzing huge collections of data generated by scientific instruments and replicated on distributed resources. In such an environment, scientists need to have the ability to carry out their studies by transparently accessing distributed data and computational resources. In this(More)
Although Grids have been used extensively for executing applications with compute-intensive jobs, there exist several applications with a large number of lightweight jobs. The overall processing undertaking of these applications involves high overhead time and cost in terms of (i) job transmission to and from Grid resources and, (ii) job processing at the(More)
Computational grids that couple geographically distributed resources are becoming the de-facto computing platform for solving large-scale problems in science, engineering, and commerce. Software to enable grid computing has been primarily written for Unix-class operating systems, thus severely limiting the ability to effectively utilize the computing(More)
In this paper, we present the design of Aneka, a .NET based service-oriented platform for desktop grid computing that provides: (i) a configurable service container hosting pluggable services for discovering, scheduling and balancing various types of workloads and (ii) a flexible and extensible framework/API supporting various programming models including(More)