2017 - ACM Fellow For contributions to power management of datacenters and high-end computer systems
2010 - ACM Distinguished Member
2009 - ACM Senior Member
Anand Sivasubramaniam spends much of his time researching Embedded system, Server, Distributed computing, Software and Workload. His studies deal with areas such as Dram, Computer hardware, Operating system and Disk array as well as Embedded system. His Server study combines topics in areas such as Energy consumption, Power consumption, Data center, Provisioning and Component.
His Distributed computing study incorporates themes from Latency, Flow shop scheduling, Cache pollution, Two-level scheduling and Scheduling. His Software research is multidisciplinary, incorporating elements of Cloud computing, Software deployment, Robustness and Benchmark. Anand Sivasubramaniam has researched Workload in several fields, including Power management, Reliability engineering, Risk analysis and Simulation.
The scientist’s investigation covers issues in Distributed computing, Embedded system, Computer network, Energy consumption and Operating system. His Distributed computing study also includes
A large part of his Computer network studies is devoted to Server. His studies in Server integrate themes in fields like Provisioning and Data center. His Energy consumption research incorporates themes from Energy, Efficient energy use and Cache.
His scientific interests lie mostly in Real-time computing, Efficient energy use, Latency, Energy and Operating system. His Real-time computing research includes elements of Traffic congestion, Simulation, Statistical model and Dynamic metrics. The Efficient energy use study combines topics in areas such as Energy consumption, Augmented reality, Mobile device and Video processing.
His research in Latency intersects with topics in Dram, Parallel computing, Cloud computing, Garbage collection and Provisioning. His Provisioning study integrates concerns from other disciplines, such as Reliability engineering, Distributed computing, Energy storage and Server. His research integrates issues of Field, Leverage and Reliability in his study of Operating system.
Anand Sivasubramaniam mostly deals with Energy consumption, Operating system, Parallel computing, Embedded system and Efficient energy use. His study looks at the relationship between Energy consumption and fields such as Control theory, as well as how they intersect with chemical problems. As part of one scientific family, Anand Sivasubramaniam deals mainly with the area of Operating system, narrowing it down to issues related to the Reliability, and often Reliability engineering, Write amplification and Failure data.
The study incorporates disciplines such as Boosting, Scheduling, Write combining and Reduction in addition to Parallel computing. His Embedded system study focuses on Flash memory in particular. His Efficient energy use research includes themes of Optimization problem and Model predictive control.
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.
Managing server energy and operational costs in hosting centers
Yiyu Chen;Amitayu Das;Wubi Qin;Anand Sivasubramaniam.
measurement and modeling of computer systems (2005)
DRPM: dynamic speed control for power management in server class disks
Sudhanva Gurumurthi;Anand Sivasubramaniam;Mahmut Kandemir;Hubertus Franke.
international symposium on computer architecture (2003)
Evaluating STT-RAM as an energy-efficient main memory alternative
Emre Kultursay;Mahmut Kandemir;Anand Sivasubramaniam;Onur Mutlu.
international symposium on performance analysis of systems and software (2013)
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)
BlueGene/L Failure Analysis and Prediction Models
Y. Liang;Y. Zhang;M. Jette;Anand Sivasubramaniam.
dependable systems and networks (2006)
Critical event prediction for proactive management in large-scale computer clusters
R. K. Sahoo;A. J. Oliner;I. Rish;M. Gupta.
knowledge discovery and data mining (2003)
Failure data analysis of a large-scale heterogeneous server environment
R.K. Sahoo;M.S. Squillante;A. Sivasubramaniam;Yanyong Zhang.
dependable systems and networks (2004)
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)
Using complete machine simulation for software power estimation: the SoftWatt approach
S. Gurumurthi;A. Sivasubramaniam;M.J. Irwin;N. Vijaykrishnan.
high-performance computer architecture (2002)
Energy storage in datacenters: what, where, and how much?
Di Wang;Chuangang Ren;Anand Sivasubramaniam;Bhuvan Urgaonkar.
measurement and modeling of computer systems (2012)
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