What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Database
Arif Merchant mainly investigates Distributed computing, Disk array, Quality of service, Scalability and Computer data storage.
His work carried out in the field of Distributed computing brings together such families of science as Virtualization, File system and Data center.
He combines subjects such as RAID, Set, Throughput and Parallel computing with his study of Disk array.
His Quality of service study incorporates themes from Virtual machine, Distributed data store, Information repository, Scheduling and Server.
His studies in Scalability integrate themes in fields like Address space, Data access, Message passing and Shared memory.
As a part of the same scientific study, Arif Merchant usually deals with the Computer data storage, concentrating on Embedded system and frequently concerns with Overhead, Network interface controller and Computer network.
His most cited work include:
- Adaptive control of virtualized resources in utility computing environments (559 citations)
- Automated control of multiple virtualized resources (462 citations)
- Sinfonia: a new paradigm for building scalable distributed systems (263 citations)
What are the main themes of his work throughout his whole career to date?
Arif Merchant mostly deals with Distributed computing, Computer data storage, Computer network, Real-time computing and Computer hardware.
His work on Distributed data store as part of general Distributed computing study is frequently connected to Resource, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Arif Merchant combines subjects such as Workload, Embedded system, Data mining and Data loss with his study of Computer data storage.
Arif Merchant has included themes like Controller, Process and Cache in his Computer hardware study.
His biological study spans a wide range of topics, including Scheduling, Operating system and Converged storage, Information repository.
His Disk array study combines topics from a wide range of disciplines, such as Enterprise storage, Reliability and Throughput.
He most often published in these fields:
- Distributed computing (24.29%)
- Computer data storage (17.86%)
- Computer network (17.14%)
What were the highlights of his more recent work (between 2011-2017)?
- Distributed data store (10.71%)
- Distributed computing (24.29%)
- Cloud computing (5.00%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Distributed data store, Distributed computing, Cloud computing, Flash and Scheduling.
His study explores the link between Distributed data store and topics such as Control reconfiguration that cross with problems in Embedded system.
His Distributed computing research includes elements of Workload, Server and Selection.
His Workload study combines topics in areas such as Quality of service, Concurrency and Disk array.
His studies deal with areas such as Leverage, Vehicle dynamics, Host, Provisioning and Adaptive system as well as Cloud computing.
The various areas that he examines in his Scheduling study include Information and Communications Technology, Computer data storage and Input/output.
Between 2011 and 2017, his most popular works were:
- Flash reliability in production: the expected and the unexpected (165 citations)
- Janus: optimal flash provisioning for cloud storage workloads (47 citations)
- Take me to your leader!: online optimization of distributed storage configurations (29 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Database
His scientific interests lie mostly in Distributed data store, Server, Database, Operating system and Flash.
His work carried out in the field of Distributed data store brings together such families of science as Ensemble forecasting, Capacity planning, Cloud computing and Isolation.
His Server research incorporates elements of High availability, Distributed computing and Online optimization.
His Database research is multidisciplinary, incorporating perspectives in Metadata and Information repository.
His work in the fields of Operating system, such as Block, Web cache and Scalability, intersects with other areas such as Forwarding plane.
In his research on the topic of Distributed File System, FIFO, File system, Optimization problem, Hit rate and Cloud storage is strongly related with Provisioning.
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