What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Software
His primary scientific interests are in Distributed computing, Cyber foraging, Embedded system, Operating system and Profiling.
As part of one scientific family, he deals mainly with the area of Distributed computing, narrowing it down to issues related to the Server, and often Interface, Service discovery, Mobile device, Scheduling and The Internet.
His Cyber foraging research integrates issues from Information access, Key, Agile application and Benchmark.
The Embedded system study combines topics in areas such as Cloud computing security and Mobile computing.
Jason Flinn has included themes like System safety and Parallelism in his Operating system study.
His study explores the link between Profiling and topics such as Software that cross with problems in Fidelity, Root cause, Troubleshooting and Source code.
His most cited work include:
- Agile application-aware adaptation for mobility (728 citations)
- Energy-aware adaptation for mobile applications (566 citations)
- PowerScope: a tool for profiling the energy usage of mobile applications (478 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Operating system, Distributed computing, Embedded system, File system and Mobile computing.
His study in Operating system focuses on Speculative execution, Shared memory, Overhead, Software and Debugging.
His Distributed computing research is multidisciplinary, relying on both Interface, Component-based software engineering and Cyber foraging.
His study on Embedded system also encompasses disciplines like
- Mobile device and related Wireless and Response time,
- Computation that intertwine with fields like Internet access and State.
His File system research is multidisciplinary, incorporating perspectives in Database and Distributed File System.
His Mobile computing study incorporates themes from Real-time computing and Library science.
He most often published in these fields:
- Operating system (30.39%)
- Distributed computing (20.59%)
- Embedded system (17.65%)
What were the highlights of his more recent work (between 2013-2019)?
- Cloud computing (6.86%)
- Distributed computing (20.59%)
- Computation (4.90%)
In recent papers he was focusing on the following fields of study:
Jason Flinn spends much of his time researching Cloud computing, Distributed computing, Computation, Real-time computing and Computer network.
The study incorporates disciplines such as Nondeterministic algorithm and Database in addition to Cloud computing.
The Distributed computing study combines topics in areas such as Scheduling, The Internet and Component-based software engineering.
His research integrates issues of Timestamp, Embedded system, State and Code in his study of Computation.
His Embedded system research includes elements of Augmented reality, Internet access, Mobile device and Provisioning.
Jason Flinn is studying File system, which is a component of Operating system.
Between 2013 and 2019, his most popular works were:
- The mystery machine: end-to-end performance analysis of large-scale internet services (131 citations)
- Outatime: Using Speculation to Enable Low-Latency Continuous Interaction for Mobile Cloud Gaming (110 citations)
- Race detection for event-driven mobile applications (95 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Programming language
His scientific interests lie mostly in Distributed computing, Server, Android, Latency and Computer network.
His Distributed computing research incorporates elements of Scheduling and Real-time computing.
His research is interdisciplinary, bridging the disciplines of Speculative execution and Server.
His work in Android tackles topics such as Partition which are related to areas like Computation and Mobile device.
He combines subjects such as Redundancy, Wireless network, User experience design and Response time with his study of Latency.
His Computer network research is multidisciplinary, relying on both Performance tuning, Interactivity and Operating system.
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