H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 7,770 93 World Ranking 7823 National Ranking 3654

Research.com Recognitions

Awards & Achievements

2011 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • The Internet

His primary scientific interests are in Provisioning, Operating system, The Internet, Computer network and Real-time computing. His studies in Provisioning integrate themes in fields like Computer cluster, Distributed computing, Response time, Data center and Server. His research integrates issues of Workload and Capacity planning in his study of Data center.

Bhuvan Urgaonkar has researched Server in several fields, including Virtual machine and Embedded system. His studies link Queueing theory with The Internet. His biological study spans a wide range of topics, including Event, Event monitoring and Reliability engineering.

His most cited work include:

  • DFTL: a flash translation layer employing demand-based selective caching of page-level address mappings (685 citations)
  • An analytical model for multi-tier internet services and its applications (540 citations)
  • Agile dynamic provisioning of multi-tier Internet applications (472 citations)

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

His primary areas of investigation include Distributed computing, Cloud computing, Server, Computer network and Provisioning. His work investigates the relationship between Distributed computing and topics such as Proportionally fair that intersect with problems in Fair scheduling. His Cloud computing study combines topics in areas such as Virtual machine, Resource allocation, Computer security, Workload and Data center.

The concepts of his Server study are interwoven with issues in Embedded system and Hypervisor. His Computer network study integrates concerns from other disciplines, such as Heuristics and Shared memory. Bhuvan Urgaonkar has included themes like Queueing theory, Computer cluster, Real-time computing and The Internet in his Provisioning study.

He most often published in these fields:

  • Distributed computing (37.07%)
  • Cloud computing (35.34%)
  • Server (27.59%)

What were the highlights of his more recent work (between 2016-2021)?

  • Cloud computing (35.34%)
  • Distributed computing (37.07%)
  • Server (27.59%)

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

The scientist’s investigation covers issues in Cloud computing, Distributed computing, Server, Virtual machine and Computer network. His Cloud computing research includes elements of Procurement, Workload, Resource allocation and Nash equilibrium. His Distributed computing study combines topics from a wide range of disciplines, such as Scheduling and Proportionally fair.

The various areas that Bhuvan Urgaonkar examines in his Server study include Shared resource and Accounting. His research in Virtual machine intersects with topics in Autoscaling, Virtualization, Provisioning and Profit. His Computer network research is multidisciplinary, incorporating perspectives in Scale and Shared memory.

Between 2016 and 2021, his most popular works were:

  • Exploiting Spot and Burstable Instances for Improving the Cost-efficacy of In-Memory Caches on the Public Cloud (29 citations)
  • Using Burstable Instances in the Public Cloud: Why, When and How? (22 citations)
  • An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers (19 citations)

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

  • Operating system
  • Computer network
  • The Internet

His scientific interests lie mostly in Cloud computing, Distributed computing, Virtual machine, Procurement and Resource allocation. The Cloud computing study combines topics in areas such as Workload, Server and Data mining. His study on Server is covered under Computer network.

His Distributed computing research is multidisciplinary, relying on both Data center, Profit maximization and Dynamic pricing. His Virtual machine research incorporates themes from Web server, Virtualization, Queueing theory and Profit. His studies deal with areas such as Distributed algorithm, Bottleneck and Table as well as Resource allocation.

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.

Top Publications

DFTL: a flash translation layer employing demand-based selective caching of page-level address mappings

Aayush Gupta;Youngjae Kim;Bhuvan Urgaonkar.
architectural support for programming languages and operating systems (2009)

977 Citations

An analytical model for multi-tier internet services and its applications

Bhuvan Urgaonkar;Giovanni Pacifici;Prashant Shenoy;Mike Spreitzer.
measurement and modeling of computer systems (2005)

735 Citations

Resource overbooking and application profiling in shared hosting platforms

Bhuvan Urgaonkar;Prashant Shenoy;Timothy Roscoe.
operating systems design and implementation (2002)

484 Citations

Agile dynamic provisioning of multi-tier Internet applications

Bhuvan Urgaonkar;Prashant Shenoy;Abhishek Chandra;Pawan Goyal.
ACM Transactions on Autonomous and Adaptive Systems (2008)

483 Citations

Dynamic Provisioning of Multi-tier Internet Applications

B. Urgaonkar;P. Shenoy;A. Chandra;P. Goyal.
international conference on autonomic computing (2005)

433 Citations

Optimal power cost management using stored energy in data centers

Rahul Urgaonkar;Bhuvan Urgaonkar;Michael J. Neely;Anand Sivasubramaniam.
measurement and modeling of computer systems (2011)

406 Citations

FlashSim: A Simulator for NAND Flash-Based Solid-State Drives

Youngjae Kim;Brendan Tauras;Aayush Gupta;Bhuvan Urgaonkar.
international conference on advances in system simulation (2009)

331 Citations

Xen and co.: communication-aware CPU scheduling for consolidated xen-based hosting platforms

Sriram Govindan;Arjun R. Nath;Amitayu Das;Bhuvan Urgaonkar.
virtual execution environments (2007)

297 Citations

Energy storage in datacenters: what, where, and how much?

Di Wang;Chuangang Ren;Anand Sivasubramaniam;Bhuvan Urgaonkar.
measurement and modeling of computer systems (2012)

269 Citations

Benefits and limitations of tapping into stored energy for datacenters

Sriram Govindan;Anand Sivasubramaniam;Bhuvan Urgaonkar.
international symposium on computer architecture (2011)

267 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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