What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Software
Aniruddha Gokhale focuses on Distributed computing, Middleware, Common Object Request Broker Architecture, Quality of service and Embedded system.
Aniruddha Gokhale has included themes like Simulated annealing, Object-oriented programming, Computer network and Profiling in his Distributed computing study.
His research in Middleware tackles topics such as Middleware which are related to areas like Code.
His biological study spans a wide range of topics, including Scalability, Orb, Application software, Object and Asynchronous Transfer Mode.
His research in Quality of service intersects with topics in Qos provisioning, Autoscaling, Workload, Cloud computing and End system.
His work carried out in the field of Embedded system brings together such families of science as Software, Software development and Component.
His most cited work include:
- Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting (449 citations)
- A high-performance end system architecture for real-time CORBA (184 citations)
- Developing applications using model-driven design environments (181 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Distributed computing, Quality of service, Middleware, Cloud computing and Embedded system.
His Distributed computing research incorporates elements of Scalability, Software and Software deployment.
His Quality of service research incorporates elements of Object-oriented programming, Modeling language and Latency.
He interconnects Provisioning and Software development in the investigation of issues within Middleware.
His biological study spans a wide range of topics, including Virtual machine, Service, Real-time computing, Resource and Server.
He studied Embedded system and Component that intersect with Component-based software engineering.
He most often published in these fields:
- Distributed computing (49.69%)
- Quality of service (29.19%)
- Middleware (27.64%)
What were the highlights of his more recent work (between 2016-2021)?
- Distributed computing (49.69%)
- Cloud computing (23.60%)
- Edge computing (5.90%)
In recent papers he was focusing on the following fields of study:
Aniruddha Gokhale spends much of his time researching Distributed computing, Cloud computing, Edge computing, Software deployment and Computer network.
His Distributed computing research includes themes of Scalability, Edge device, Quality of service, Enhanced Data Rates for GSM Evolution and Deep learning.
His Quality of service research incorporates themes from Augmented reality and Latency.
His work carried out in the field of Cloud computing brings together such families of science as Service, Resource, Task, Testbed and Server.
His Edge computing research is multidisciplinary, incorporating perspectives in Latency, Schedule, Iot testbed, Real-time computing and Cyber-physical system.
His Computer network research integrates issues from Wireless mesh network and Smart city.
Between 2016 and 2021, his most popular works were:
- INDICES: Exploiting Edge Resources for Performance-Aware Cloud-Hosted Services (35 citations)
- Dynamic Resource Management Across Cloud-Edge Resources for Performance-Sensitive Applications (23 citations)
- Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications (18 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Software
Aniruddha Gokhale mainly focuses on Distributed computing, Cloud computing, Edge computing, Software deployment and Latency.
Within one scientific family, Aniruddha Gokhale focuses on topics pertaining to Quality of service under Distributed computing, and may sometimes address concerns connected to Workload.
The concepts of his Cloud computing study are interwoven with issues in Service, Enhanced Data Rates for GSM Evolution, Resource, Server and Software engineering.
His Edge computing study incorporates themes from Edge device, Decision support system, Modular design, Computer network and Cyber-physical system.
His Software deployment study combines topics from a wide range of disciplines, such as Scalability, Interoperability, Orchestration, Middleware and Use case.
His studies deal with areas such as Runtime verification and Middleware as well as Middleware.
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