What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Software
Distributed computing, Cloud computing, Database, Scalability and Service are his primary areas of study.
His research in Distributed computing intersects with topics in Scheduling, Dynamic priority scheduling and Fair-share scheduling.
His research investigates the connection between Cloud computing and topics such as Provisioning that intersect with problems in Workload and Shared resource.
His Database study integrates concerns from other disciplines, such as Class, Service-level agreement, Gateway and Interface.
While the research belongs to areas of Scalability, Vijay K. Naik spends his time largely on the problem of Quality of service, intersecting his research to questions surrounding State, Cluster analysis and Resource.
His Service study combines topics from a wide range of disciplines, such as Control, Set, Data processing and Operations research.
His most cited work include:
- Policy-based hierarchical management of shared resources in a grid environment (180 citations)
- System for managing and controlling storage access requirements (173 citations)
- Hybrid cloud integrator plug-in components (152 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Distributed computing, Cloud computing, Database, Parallel computing and Workload.
Vijay K. Naik interconnects Scalability, Resource allocation, Resource and Scheduling, Dynamic priority scheduling in the investigation of issues within Distributed computing.
His research integrates issues of Computer security, Provisioning and Service in his study of Cloud computing.
His study explores the link between Service and topics such as Data processing that cross with problems in Software framework, Component-based software engineering, Node, Control and Interface.
His Database study deals with Service delivery framework intersecting with Service provider.
His study focuses on the intersection of Workload and fields such as Real-time computing with connections in the field of Computer program.
He most often published in these fields:
- Distributed computing (41.58%)
- Cloud computing (26.73%)
- Database (15.84%)
What were the highlights of his more recent work (between 2009-2017)?
- Cloud computing (26.73%)
- Distributed computing (41.58%)
- Service (12.87%)
In recent papers he was focusing on the following fields of study:
Vijay K. Naik focuses on Cloud computing, Distributed computing, Service, Data processing and Real-time computing.
He has researched Cloud computing in several fields, including Computer security, Workload, Service delivery framework and Provisioning.
His work carried out in the field of Distributed computing brings together such families of science as Scalability, Shared resource, Server and Operations research.
His studies deal with areas such as Reliability engineering, Key and Simulation as well as Service.
Vijay K. Naik combines subjects such as Software framework, Component-based software engineering, Interface and Software engineering with his study of Data processing.
His Real-time computing research is multidisciplinary, relying on both Node, Control, Resource and Computer program.
Between 2009 and 2017, his most popular works were:
- Hybrid cloud integrator plug-in components (152 citations)
- Hybrid Cloud Workload Management (97 citations)
- End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach (93 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Software
Vijay K. Naik mainly investigates Cloud computing, Service, Distributed computing, Provisioning and Data processing.
His Cloud computing research includes elements of Quality, Capacity planning, Computer network and Computer security.
His Service study incorporates themes from Reliability engineering, Simulation, Data center and Total cost of ownership.
His research brings together the fields of Scalability and Distributed computing.
His work focuses on many connections between Provisioning and other disciplines, such as Workload, that overlap with his field of interest in Service level objective and Shared resource.
His work deals with themes such as Software framework and Real-time computing, which intersect with Data processing.
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