H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 154 Citations 117,166 845 World Ranking 9 National Ranking 1

Research.com Recognitions

Awards & Achievements

2015 - IEEE Fellow For contributions to cloud computing

2008 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • The Internet
  • Cloud computing

His scientific interests lie mostly in Distributed computing, Cloud computing, Scheduling, Grid computing and Utility computing. His Distributed computing research is multidisciplinary, incorporating elements of Scalability, Resource allocation, The Internet, Dynamic priority scheduling and Fair-share scheduling. His Cloud computing research integrates issues from Data center, Quality of service, Provisioning and Virtual machine.

His Scheduling study integrates concerns from other disciplines, such as Testbed, Distributed algorithm, Workflow and Economy. His Grid computing research incorporates elements of Workflow management system, Economic model, Semantic grid and Database. His study looks at the intersection of Utility computing and topics like Virtualization with Workload.

His most cited work include:

  • Internet of Things (IoT): A vision, architectural elements, and future directions (6583 citations)
  • Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility (4663 citations)
  • CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms (3363 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Cloud computing, Distributed computing, Scheduling, Grid computing and Quality of service. He is involved in the study of Cloud computing that focuses on Utility computing in particular. In his research on the topic of Distributed computing, Fair-share scheduling is strongly related with Dynamic priority scheduling.

In most of his Quality of service studies, his work intersects topics such as The Internet. His research in Virtual machine intersects with topics in Workload, Virtualization and Server. The various areas that he examines in his Energy consumption study include Data center and Efficient energy use.

He most often published in these fields:

  • Cloud computing (50.37%)
  • Distributed computing (46.79%)
  • Scheduling (18.22%)

What were the highlights of his more recent work (between 2018-2021)?

  • Cloud computing (50.37%)
  • Distributed computing (46.79%)
  • Quality of service (15.75%)

In recent papers he was focusing on the following fields of study:

Rajkumar Buyya focuses on Cloud computing, Distributed computing, Quality of service, Energy consumption and Scheduling. His Cloud computing research is multidisciplinary, incorporating elements of Virtual machine, Scalability, Resource, Provisioning and Efficient energy use. His research integrates issues of Software, Edge computing, Data center and Server in his study of Distributed computing.

Information system is closely connected to The Internet in his research, which is encompassed under the umbrella topic of Quality of service. The concepts of his Energy consumption study are interwoven with issues in Workload, Heuristics, Enhanced Data Rates for GSM Evolution and CloudSim. His Scheduling research is mostly focused on the topic Dynamic priority scheduling.

Between 2018 and 2021, his most popular works were:

  • Quality of Experience (QoE)-aware placement of applications in Fog computing environments (109 citations)
  • HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments (93 citations)
  • FOCAN: A Fog-supported smart city network architecture for management of applications in the Internet of Everything environments (92 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • The Internet
  • Computer network

Cloud computing, Distributed computing, Quality of service, Energy consumption and Virtual machine are his primary areas of study. His Cloud computing research integrates issues from Scheduling, Computer network, Provisioning and The Internet. The Distributed computing study combines topics in areas such as Workload, Scalability, Resource and Efficient energy use.

His work in the fields of Service-level agreement overlaps with other areas such as Composition and Function. His Energy consumption study incorporates themes from Data center, CloudSim, Router and Server. His biological study spans a wide range of topics, including Pricing strategies, Process and Green computing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Internet of Things (IoT): A vision, architectural elements, and future directions

Jayavardhana Gubbi;Rajkumar Buyya;Slaven Marusic;Marimuthu Palaniswami.
Future Generation Computer Systems (2013)

9857 Citations

Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

Rajkumar Buyya;Chee Shin Yeo;Srikumar Venugopal;James Broberg.
Future Generation Computer Systems (2009)

7365 Citations

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

Rodrigo N. Calheiros;Rajiv Ranjan;Anton Beloglazov;César A. F. De Rose.
Software - Practice and Experience (2011)

4626 Citations

Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

R. Buyya;Chee Shin Yeo;S. Venugopal.
high performance computing and communications (2008)

2934 Citations

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

Anton Beloglazov;Jemal Abawajy;Rajkumar Buyya.
Future Generation Computer Systems (2012)

2659 Citations

GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing

Rajkumar Buyya;M. Manzur Murshed.
Concurrency and Computation: Practice and Experience (2002)

2048 Citations

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

Anton Beloglazov;Rajkumar Buyya.
Concurrency and Computation: Practice and Experience (2012)

1534 Citations

Cloud Computing: Principles and Paradigms

Rajkumar Buyya;James Broberg;Andrzej M. Goscinski.
(2013)

1463 Citations

High Performance Cluster Computing: Architectures and Systems

Rajkumar Buyya.
(1999)

1412 Citations

A taxonomy and survey of grid resource management systems for distributed computing

Klaus Krauter;Rajkumar Buyya;Muthucumaru Maheswaran.
Software - Practice and Experience (2002)

1339 Citations

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