2014 - IEEE Fellow For contributions to programming idioms for parallel and distributed systems and design of scalable shared memory systems
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.
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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Mobile fog: a programming model for large-scale applications on the internet of things
Kirak Hong;David Lillethun;Umakishore Ramachandran;Beate Ottenwälder.
acm special interest group on data communication (2013)
The Clouds distributed operating system
P. Dasgupta;R.J. LeBlanc;M. Ahamad;U. Ramachandran.
IEEE Computer (1991)
DFuse: a framework for distributed data fusion
Rajnish Kumar;Matthew Wolenetz;Bikash Agarwalla;JunSuk Shin.
international conference on embedded networked sensor systems (2003)
Incremental deployment and migration of geo-distributed situation awareness applications in the fog
Enrique Saurez;Kirak Hong;Dave Lillethun;Umakishore Ramachandran.
distributed event-based systems (2016)
An implementation of distributed shared memory
Umakishore Ramachandran;M. Yousef A. Khalidi.
Software - Practice and Experience (1991)
The Design and Implementation of the Clouds Distributed Operating System.
P. Dasgupta;R. C. Chen;S. Menon;M. P. Pearson.
Computing Systems (1989)
A Bridging Framework for Universal Interoperability in Pervasive Systems
Jin Nakazawa;H. Tokuda;W.K. Edwards;U. Ramachandran.
international conference on distributed computing systems (2006)
MigCEP: operator migration for mobility driven distributed complex event processing
Beate Ottenwälder;Boris Koldehofe;Kurt Rothermel;Umakishore Ramachandran.
distributed event-based systems (2013)
Temporal notions of synchronization and consistency in Beehive
Aman Singla;Umakishore Ramachandran;Jessica Hodgins.
acm symposium on parallel algorithms and architectures (1997)
System for integrating task and data parallelism in dynamic applications
James Mathew Rehg;Kathleen Knobe;Rishiyur S. Nikhil;Umakishore Ramachandran.
Profile was last updated on December 6th, 2021.
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