What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Central processing unit
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.
His most cited work include:
- Managing server energy and operational costs in hosting centers (532 citations)
- DRPM: dynamic speed control for power management in server class disks (386 citations)
- Optimal power cost management using stored energy in data centers (357 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Distributed computing, Embedded system, Computer network, Energy consumption and Operating system.
His Distributed computing study also includes
- Quality of service most often made with reference to Scheduling,
- Gang scheduling that connect with fields like Supercomputer.
His Embedded system research is multidisciplinary, relying on both Dram, Computer hardware and Software.
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.
He most often published in these fields:
- Distributed computing (26.65%)
- Embedded system (15.57%)
- Computer network (11.38%)
What were the highlights of his more recent work (between 2015-2021)?
- Real-time computing (10.48%)
- Efficient energy use (5.69%)
- Latency (2.99%)
In recent papers he was focusing on the following fields of study:
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.
Between 2015 and 2021, his most popular works were:
- SSD Failures in Datacenters: What, When and Why? (49 citations)
- Boosting access parallelism to PCM-based main memory (29 citations)
- HB-phone: a bed-mounted geophone-based heartbeat monitoring system (29 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Central processing unit
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.
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