What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer network
His primary areas of study are Scheduling, Distributed computing, Web page, Web server and Workload.
His work carried out in the field of Scheduling brings together such families of science as Multiprocessing, Computer cluster and Real-time computing.
His research investigates the connection between Distributed computing and topics such as Server that intersect with problems in Software fault tolerance, Reliability engineering, Load balancing and Quality of service.
His Web page research is multidisciplinary, relying on both Web service and Database.
His biological study spans a wide range of topics, including Dynamic web page and Data mining.
Mark S. Squillante interconnects Software, System deployment and Robustness in the investigation of issues within Workload.
His most cited work include:
- Failure data analysis of a large-scale heterogeneous server environment (220 citations)
- On maximizing service-level-agreement profits (192 citations)
- Using processor-cache affinity information in shared-memory multiprocessor scheduling (170 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mathematical optimization, Distributed computing, Scheduling, Operations research and Mathematical performance.
His Mathematical optimization study integrates concerns from other disciplines, such as Queue and Resource allocation.
His studies in Distributed computing integrate themes in fields like Workload, Dynamic priority scheduling, Two-level scheduling, Fair-share scheduling and Parallel computing.
Mark S. Squillante studies Parallel computing, focusing on Distributed memory in particular.
His research in Scheduling intersects with topics in Queueing theory and Real-time computing.
His Operations research study frequently links to related topics such as Management science.
He most often published in these fields:
- Mathematical optimization (22.93%)
- Distributed computing (20.49%)
- Scheduling (19.02%)
What were the highlights of his more recent work (between 2014-2021)?
- Mathematical optimization (22.93%)
- Scheduling (19.02%)
- Optimal control (6.34%)
In recent papers he was focusing on the following fields of study:
Mark S. Squillante mainly investigates Mathematical optimization, Scheduling, Optimal control, Mathematical performance and Operations research.
His study on Optimization problem is often connected to Stochastic gradient descent as part of broader study in Mathematical optimization.
His Scheduling study incorporates themes from Throughput and Distributed computing.
The Distributed computing study which covers The Internet that intersects with Cloud computing.
His work in Optimal control addresses subjects such as Control, which are connected to disciplines such as Dynamical system.
The various areas that Mark S. Squillante examines in his Operations research study include Mathematical economics, Work in process, Computer performance and Mathematical finance.
Between 2014 and 2021, his most popular works were:
- Optimal Resource Capacity Management for Stochastic Networks (11 citations)
- On Optimal Weighted-Delay Scheduling in Input-Queued Switches (6 citations)
- Efficient Stochastic Gradient Descent for Distributionally Robust Learning (4 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Computer network
Mark S. Squillante spends much of his time researching Mathematical optimization, Operations research, Optimal control, Scheduling and Job shop scheduling.
His work carried out in the field of Mathematical optimization brings together such families of science as Queue, Cover and Robust learning.
Mark S. Squillante has included themes like Knowledge management, Mathematical economics, Time horizon and Task in his Operations research study.
His Optimal control research is multidisciplinary, relying on both Dynamical system, Control, Linear programming and Schedule.
The concepts of his Scheduling study are interwoven with issues in Steady state and Dynamic control.
The study incorporates disciplines such as Rate-monotonic scheduling, Throughput and Round-robin scheduling in addition to Job shop scheduling.
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