R
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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Mobile Cloud Business Process Management System for the Internet of Things: Review, Challenges and Blueprint.
TL;DR: In this paper, a guidance to Mobile Cloud Computing (MCC) disciplines what are the issues in BPMS for IoT and how MCC can be the promising solution to address issues and overcome the challenges.
Journal ArticleDOI
Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge
Sukhpal Singh Gill,Sukhpal Singh Gill,Peter Garraghan,Vlado Stankovski,Giuliano Casale,Ruppa K. Thulasiram,Soumya K. Ghosh,Kotagiri Ramamohanarao,Rajkumar Buyya +8 more
TL;DR: A cuckoo optimization-based energy-reliability aware resource scheduling technique (CRUZE) for holistic management of cloud computing resources including servers, networks, storage, and cooling systems is proposed and evaluated against existing state-of-the-art solutions using the CloudSim toolkit.
Book ChapterDOI
Big Data Analytics = Machine Learning + Cloud Computing
TL;DR: In this article, the authors review historical aspects of the term big data and associated analytics and augment the 3Vs with additional attributes of big data to make it more comprehensive and relevant, and they show that Big Data is not just the threeVs, but actually 3 2 Vs, covering the fundamental motivation behind Big Data, which is to incorporate business intelligence based on different hypothesis or statistical models so that big data analytics (BDA) can enable decision makers to make useful predictions for making some crucial decisions or researching results.
Journal ArticleDOI
A taxonomy and survey on autonomic management of applications in grid computing environments
TL;DR: A comprehensive taxonomy is proposed that characterizes and classifies different software components and high‐level methods that are required for autonomic management of applications in Grids and identifies the areas that require further research initiatives.