What is he best known for?
The fields of study he is best known for:
- Operating system
- Database
- The Internet
His primary scientific interests are in Distributed computing, Web service, Scheduling, Algorithm and Dynamic priority scheduling.
His Distributed computing study incorporates themes from Quality of service, Database tuning, Multiversion concurrency control and Database.
His Quality of service research includes themes of Path, Graph theory and Knapsack problem.
Kwei-Jay Lin is interested in Service-oriented architecture, which is a field of Web service.
The various areas that Kwei-Jay Lin examines in his Scheduling study include Workload, Probabilistic logic, Computation and Mathematical optimization.
His study in Dynamic priority scheduling is interdisciplinary in nature, drawing from both Real-time computing and Critical section.
His most cited work include:
- Efficient algorithms for Web services selection with end-to-end QoS constraints (1078 citations)
- Algorithms for scheduling imprecise computations (513 citations)
- Imprecise computations (268 citations)
What are the main themes of his work throughout his whole career to date?
Kwei-Jay Lin mainly focuses on Distributed computing, Scheduling, Service-oriented architecture, Real-time computing and Quality of service.
Kwei-Jay Lin interconnects Middleware, Computer network, Dynamic priority scheduling and Fair-share scheduling in the investigation of issues within Distributed computing.
His work in the fields of Scheduling, such as Processor scheduling, overlaps with other areas such as Monotonic function.
Service and Web service are the main topics of his Service-oriented architecture study.
E-commerce is closely connected to The Internet in his research, which is encompassed under the umbrella topic of Web service.
His research investigates the connection between Quality of service and topics such as Service that intersect with issues in Trust management.
He most often published in these fields:
- Distributed computing (40.70%)
- Scheduling (20.93%)
- Service-oriented architecture (20.93%)
What were the highlights of his more recent work (between 2012-2020)?
- Distributed computing (40.70%)
- Middleware (11.63%)
- Service (16.28%)
In recent papers he was focusing on the following fields of study:
His main research concerns Distributed computing, Middleware, Service, Cloud computing and Real-time computing.
His Distributed computing study integrates concerns from other disciplines, such as Service-oriented architecture, Graph, Heuristic and Integer programming.
His research integrates issues of Quality of service, Business process, Provisioning and Earliest deadline first scheduling in his study of Service-oriented architecture.
His Middleware study combines topics in areas such as Set, Intelligent sensor, Embedded system and Software deployment.
His work deals with themes such as Computer security, Feature point matching, Fault tolerance, Resource and Server, which intersect with Service.
Kwei-Jay Lin has included themes like Video tracking, Pyramid, Scheduling and Type of service in his Real-time computing study.
Between 2012 and 2020, his most popular works were:
- Decentralized fault tolerance mechanism for intelligent IoT/M2M middleware (45 citations)
- Incorporating appraisal expression patterns into topic modeling for aspect and sentiment word identification (43 citations)
- Co-locating services in IoT systems to minimize the communication energy cost (31 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- The Internet
Kwei-Jay Lin mainly investigates Distributed computing, Middleware, Analytics, Cloud computing and Service.
His Distributed computing research incorporates elements of Service-oriented architecture and Graph.
His research in Middleware intersects with topics in Intelligent sensor and Embedded system.
His Analytics research integrates issues from Computer architecture, Edge device, Home automation, Enhanced Data Rates for GSM Evolution and Activity recognition.
His Service research is multidisciplinary, relying on both Fault tolerance, Genetic algorithm and Resource.
The Computer network study combines topics in areas such as The Internet and Iot middleware.
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