What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
His scientific interests lie mostly in Distributed computing, Resource, Scheduling, Metacomputing and Grid computing.
Rich Wolski interconnects Computation offloading, Software deployment and Software design in the investigation of issues within Distributed computing.
In his study, Concurrent computing is inextricably linked to Network performance, which falls within the broad field of Scheduling.
His studies deal with areas such as Software and Application software as well as Metacomputing.
The various areas that he examines in his Application software study include Resource allocation, Virtualization, Cloud computing and Middleware.
He usually deals with Set and limits it to topics linked to Service and Unix and Operating system.
His most cited work include:
- The Eucalyptus Open-Source Cloud-Computing System (1673 citations)
- The network weather service: a distributed resource performance forecasting service for metacomputing (1276 citations)
- Adaptive computing on the Grid using AppLeS (435 citations)
What are the main themes of his work throughout his whole career to date?
Rich Wolski mainly investigates Distributed computing, Cloud computing, Scheduling, Operating system and Grid computing.
Rich Wolski undertakes multidisciplinary studies into Distributed computing and Resource in his work.
Rich Wolski has researched Cloud computing in several fields, including Virtual machine, Scalability, Software deployment and Server.
His research ties Service and Operating system together.
In general Grid computing, his work in DRMAA is often linked to Application software and Utility computing linking many areas of study.
His Computer network research incorporates themes from Instrumentation, Middleware and The Internet, Internet protocol suite.
He most often published in these fields:
- Distributed computing (39.77%)
- Cloud computing (26.90%)
- Scheduling (19.88%)
What were the highlights of his more recent work (between 2016-2020)?
- Cloud computing (26.90%)
- Distributed computing (39.77%)
- Scalability (11.70%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cloud computing, Distributed computing, Scalability, Server and Enhanced Data Rates for GSM Evolution.
Cloud computing is a subfield of Operating system that Rich Wolski explores.
Rich Wolski undertakes interdisciplinary study in the fields of Operating system and Resource through his research.
His work carried out in the field of Distributed computing brings together such families of science as Computer security, Workload, Service-level agreement, Debugging and Robustness.
His research investigates the connection with Service-level agreement and areas like Power usage which intersect with concerns in Scheduling.
As part of the same scientific family, he usually focuses on Scalability, concentrating on Web service and intersecting with Web application, Metadata and Instrumentation.
Between 2016 and 2020, his most popular works were:
- Where's The Bear?: Automating Wildlife Image Processing Using IoT and Edge Cloud Systems (51 citations)
- Performance Monitoring and Root Cause Analysis for Cloud-hosted Web Applications (34 citations)
- Probabilistic guarantees of execution duration for Amazon spot instances (28 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
Cloud computing, Distributed computing, Enhanced Data Rates for GSM Evolution, Edge computing and Workload are his primary areas of study.
His Cloud computing research is multidisciplinary, relying on both Python, Key, Concurrency and Provisioning.
His Distributed computing research is multidisciplinary, incorporating elements of Computer security, Cloud provisioning and Profiling.
His study ties his expertise on Real-time computing together with the subject of Enhanced Data Rates for GSM Evolution.
He has included themes like Construct, Aggregate and Big data in his Edge computing study.
The concepts of his Workload study are interwoven with issues in Virtual machine, Probabilistic logic, Data mining and Service-level agreement.
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