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Rajkumar Buyya

Researcher at University of Melbourne

Publications -  1143
Citations -  108162

Rajkumar Buyya is an academic researcher from University of Melbourne. The author has contributed to research in topics: Cloud computing & Grid computing. The author has an hindex of 133, co-authored 1066 publications receiving 95164 citations. Previous affiliations of Rajkumar Buyya include Walter and Eliza Hall Institute of Medical Research & Infosys.

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Book ChapterDOI

GridCrypt: high performance symmetric key cryptography using enterprise grids

TL;DR: This paper proposes and develops an application for symmetric key cryptography using enterprise grid middleware called Alchemi, and an analysis and comparison of its performance is presented along with pointers to future work.
Proceedings ArticleDOI

A Meta-scheduler with Auction Based Resource Allocation for Global Grids

TL;DR: This paper designs a valuation metric for userpsilas applications and computational resources based on multi-criteria requirements of users and resource load and compares its scheduling mechanism against other common mechanisms used by current meta-schedulers.
Journal ArticleDOI

SDCon: Integrated Control Platform for Software-Defined Clouds

TL;DR: A network topology aware VM placement algorithm for heterogeneous resource configuration that consolidates the connected VMs into closely connected compute nodes to reduce the overall network traffic and the effectiveness of SDCon to manage both resources simultaneously is proposed.
Proceedings Article

Cloud Computing - The Next Revolution in Information Technology.

TL;DR: In this article, the authors describe the challenges involved in creating and deploying clouds and cloud interconnections, and present a set of challenges that need to be addressed in the context of Grid, P2P, and Cloud computing.
Journal ArticleDOI

Clabacus: A Risk-Adjusted Cloud Resources Pricing Model Using Financial Option Theory

TL;DR: This study proposes a Cloud Compute Commodity (C3) pricing architecture called Clabacus(Cloud-Abacus) to serve both parties and proposes a general formula, called compound-Moores law, that captures the technological advances of the resources, rate of inflation and depreciation etc.