What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Programming language
Umakishore Ramachandran mainly investigates Distributed computing, Latency, Scalability, Synchronization and Shared memory.
His biological study focuses on Middleware.
His Latency research includes themes of Complex event processing, Real-time computing and Virtual machine.
He interconnects Fault tolerance and High availability, Network topology, Computer network in the investigation of issues within Scalability.
His Shared memory research integrates issues from Shared disk architecture, Data diffusion machine and Distributed shared memory.
His Programming paradigm study combines topics from a wide range of disciplines, such as Software deployment, Range and Web of Things, The Internet, World Wide Web.
His most cited work include:
- Mobile fog: a programming model for large-scale applications on the internet of things (352 citations)
- The Clouds distributed operating system (173 citations)
- DFuse: a framework for distributed data fusion (155 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Distributed computing, Scalability, Real-time computing, Parallel computing and Shared memory.
His Distributed computing research incorporates themes from Thread, Latency, Ubiquitous computing, Middleware and Garbage collection.
He combines subjects such as Data flow diagram, Computer network and Embedded system with his study of Scalability.
While the research belongs to areas of Real-time computing, Umakishore Ramachandran spends his time largely on the problem of Software deployment, intersecting his research to questions surrounding Cloud computing.
His studies deal with areas such as Synchronization, Multiprocessing, Cache coherence and Distributed shared memory as well as Shared memory.
His research investigates the connection between Distributed shared memory and topics such as Distributed memory that intersect with issues in Data diffusion machine and Memory management.
He most often published in these fields:
- Distributed computing (50.81%)
- Scalability (20.54%)
- Real-time computing (15.14%)
What were the highlights of his more recent work (between 2013-2021)?
- Distributed computing (50.81%)
- Cloud computing (8.11%)
- Real-time computing (15.14%)
In recent papers he was focusing on the following fields of study:
Distributed computing, Cloud computing, Real-time computing, Scalability and Software deployment are his primary areas of study.
Umakishore Ramachandran has researched Distributed computing in several fields, including Cluster analysis, Consistency, Resource, Middleware and Edge computing.
His research integrates issues of Computer security, Backhaul and Computer network in his study of Cloud computing.
Umakishore Ramachandran has included themes like Complex event processing, Smart camera, Fog computing and Latency in his Real-time computing study.
His studies in Latency integrate themes in fields like Workload, Test data generation, Global Positioning System and Programming paradigm.
His research in Software deployment tackles topics such as Resource management which are related to areas like Extensibility.
Between 2013 and 2021, his most popular works were:
- Incremental deployment and migration of geo-distributed situation awareness applications in the fog (110 citations)
- EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures (42 citations)
- MCEP: A Mobility-Aware Complex Event Processing System (42 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Programming language
His primary areas of investigation include Distributed computing, Edge computing, Scalability, Complex event processing and Real-time computing.
His Distributed computing research includes themes of Resource, Software deployment and Cloud computing.
His work deals with themes such as Execution model, Host and Isolation, which intersect with Edge computing.
The study incorporates disciplines such as Window, Data parallelism and Operator in addition to Complex event processing.
His Real-time computing study incorporates themes from Latency, Multi-core processor, Parallel computing and Global Positioning System.
Umakishore Ramachandran interconnects Workload, Test data generation, Mobile device and Programming paradigm in the investigation of issues within Latency.
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