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Anton Beloglazov

Researcher at IBM

Publications -  26
Citations -  13393

Anton Beloglazov is an academic researcher from IBM. The author has contributed to research in topics: Cloud computing & Efficient energy use. The author has an hindex of 20, co-authored 25 publications receiving 12148 citations. Previous affiliations of Anton Beloglazov include University of Melbourne & University of Sydney.

Papers
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Journal ArticleDOI

CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms

Rodrigo N. Calheiros, +4 more
- 01 Jan 2011 - 
TL;DR: The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns.
Journal ArticleDOI

Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing

Anton Beloglazov, +2 more
- 01 May 2012 - 
TL;DR: An architectural framework and principles for energy-efficient Cloud computing are defined and the proposed energy-aware allocation heuristics provision data center resources to client applications in a way that improves energy efficiency of the data center, while delivering the negotiated Quality of Service (QoS).
Journal ArticleDOI

Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers

Anton Beloglazov, +1 more
- 01 Sep 2012 - 
TL;DR: A competitive analysis is conducted and competitive ratios of optimal online deterministic algorithms for the single VM migration and dynamic VM consolidation problems are proved, and novel adaptive heuristics for dynamic consolidation of VMs are proposed based on an analysis of historical data from the resource usage by VMs.
Proceedings ArticleDOI

Energy Efficient Resource Management in Virtualized Cloud Data Centers

Anton Beloglazov, +1 more
TL;DR: First results of simulation-driven evaluation of heuristics for dynamic reallocation of VMs using live migration according to current requirements for CPU performance are presented, showing that the proposed technique brings substantial energy savings, while ensuring reliable QoS.
Book ChapterDOI

A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems

Anton Beloglazov, +7 more
- 01 Jan 2011 - 
TL;DR: This study discusses causes and problems of high power/energy consumption, and presents a taxonomy of energy-efficient design of computing systems covering the hardware, operating system, virtualization, and data center levels.