2011 - ACM Senior Member
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 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.
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.
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.
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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)
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)
Agile dynamic provisioning of multi-tier Internet applications
Bhuvan Urgaonkar;Prashant Shenoy;Abhishek Chandra;Pawan Goyal.
ACM Transactions on Autonomous and Adaptive Systems (2008)
Resource overbooking and application profiling in shared hosting platforms
Bhuvan Urgaonkar;Prashant Shenoy;Timothy Roscoe.
operating systems design and implementation (2002)
Dynamic Provisioning of Multi-tier Internet Applications
B. Urgaonkar;P. Shenoy;A. Chandra;P. Goyal.
international conference on autonomic computing (2005)
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)
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)
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)
Energy storage in datacenters: what, where, and how much?
Di Wang;Chuangang Ren;Anand Sivasubramaniam;Bhuvan Urgaonkar.
measurement and modeling of computer systems (2012)
Benefits and limitations of tapping into stored energy for datacenters
Sriram Govindan;Anand Sivasubramaniam;Bhuvan Urgaonkar.
international symposium on computer architecture (2011)
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