What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Database
Krithi Ramamritham mainly focuses on Distributed computing, Real-time computing, Scheduling, Dynamic priority scheduling and Rate-monotonic scheduling.
His work carried out in the field of Distributed computing brings together such families of science as Deadline-monotonic scheduling, Serializability, Database transaction, Concurrency control and Priority inheritance.
His Database transaction research includes elements of Commit and Data mining.
His Real-time computing research is multidisciplinary, incorporating elements of Computer network and State.
His Scheduling research incorporates themes from Multiprocessing, Computation, Resource allocation and Heuristic.
His work investigates the relationship between Dynamic priority scheduling and topics such as Fair-share scheduling that intersect with problems in Heuristics, Preemption and Gain scheduling.
His most cited work include:
- Real-time databases (532 citations)
- Deadline Scheduling for Real-Time Systems: EDF and Related Algorithms (459 citations)
- Scheduling algorithms and operating systems support for real-time systems (442 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Distributed computing, Real-time computing, Scheduling, Database and Database transaction.
His study looks at the relationship between Distributed computing and fields such as Concurrency control, as well as how they intersect with chemical problems.
Krithi Ramamritham has included themes like Wireless sensor network and Computer network in his Real-time computing study.
As part of his studies on Scheduling, Krithi Ramamritham often connects relevant areas like Algorithm.
His study in Transaction processing and Serializability are all subfields of Database transaction.
His research related to Fixed-priority pre-emptive scheduling and Earliest deadline first scheduling might be considered part of Dynamic priority scheduling.
He most often published in these fields:
- Distributed computing (32.29%)
- Real-time computing (18.61%)
- Scheduling (15.47%)
What were the highlights of his more recent work (between 2013-2021)?
- Energy consumption (3.59%)
- Real-time computing (18.61%)
- Smart grid (2.69%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Energy consumption, Real-time computing, Smart grid, Distributed computing and Consumption.
Krithi Ramamritham combines subjects such as Computer security, Artificial neural network, Observability and Identification with his study of Energy consumption.
His study explores the link between Observability and topics such as Software deployment that cross with problems in Algorithm.
He works mostly in the field of Real-time computing, limiting it down to concerns involving Data analysis and, occasionally, Real-time data and Process control.
His Smart grid research is multidisciplinary, relying on both Telecommunications and Scheduling.
Borrowing concepts from Units of measurement, Krithi Ramamritham weaves in ideas under Distributed computing.
Between 2013 and 2021, his most popular works were:
- A hybrid model for building energy consumption forecasting using long short term memory networks (51 citations)
- Schedulability Analysis of DeferrableScheduling Algorithms for MaintainingReal-Time Data Freshness (18 citations)
- Urban Informal Housing and Surface Urban Heat Island Intensity: Exploring Spatial Association in the City of Mumbai (16 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Programming language
His primary areas of investigation include Energy consumption, Real-time computing, Smart grid, Consumption and Distributed computing.
In his papers, Krithi Ramamritham integrates diverse fields, such as Real-time computing and Intuition.
The various areas that Krithi Ramamritham examines in his Smart grid study include Data-driven, Latency, Analytics, Dissemination and Bandwidth.
The Distributed computing study combines topics in areas such as Schedule, Scheduling, Dynamic priority scheduling, Energy storage and Algorithm.
His Schedule research includes elements of Earliest deadline first scheduling, Rate-monotonic scheduling, Deadline-monotonic scheduling and Priority scheduling.
Krithi Ramamritham applies his multidisciplinary studies on Scheduling and Thermal comfort in his research.
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