What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Software
His main research concerns Distributed computing, Grid computing, Cloud computing, Scheduling and Semantic grid.
Gregor von Laszewski interconnects Virtual machine, Modular design, Fault, Green computing and Solver in the investigation of issues within Distributed computing.
His research in Grid computing intersects with topics in Quality of service and Software engineering.
Gregor von Laszewski focuses mostly in the field of Cloud computing, narrowing it down to matters related to Supercomputer and, in some cases, Hypervisor, Data science and Scalability.
His Scheduling research includes elements of Computer cluster, Real-time computing and Server.
His work on DRMAA as part of general Semantic grid study is frequently linked to WS-I Basic Profile, therefore connecting diverse disciplines of science.
His most cited work include:
- Cloud Computing: a Perspective Study (518 citations)
- QoS guided min-min heuristic for grid task scheduling (381 citations)
- A Java commodity grid kit (344 citations)
What are the main themes of his work throughout his whole career to date?
Grid computing, Distributed computing, Cloud computing, World Wide Web and Operating system are his primary areas of study.
His studies in Grid computing integrate themes in fields like Java, Database, Semantic grid and Software engineering.
His work deals with themes such as Workflow management system, Workflow and Cog, which intersect with Software engineering.
His biological study spans a wide range of topics, including Quality of service, Scheduling, Utility computing and Software.
His Cloud computing study combines topics from a wide range of disciplines, such as Middleware, Virtual machine, Supercomputer and Provisioning.
His World Wide Web study incorporates themes from Cyberinfrastructure, Data science and Service.
He most often published in these fields:
- Grid computing (34.09%)
- Distributed computing (32.58%)
- Cloud computing (19.70%)
What were the highlights of his more recent work (between 2012-2021)?
- Operating system (16.67%)
- Cloud computing (19.70%)
- Data science (11.36%)
In recent papers he was focusing on the following fields of study:
Gregor von Laszewski mainly investigates Operating system, Cloud computing, Data science, Virtual machine and Resource.
His research integrates issues of TeraGrid and Analytics in his study of Operating system.
The concepts of his Cloud computing study are interwoven with issues in Testbed and Service.
His study on Testbed is mostly dedicated to connecting different topics, such as Grid computing.
His Resource study also includes
- Database that intertwine with fields like Focus,
- Software engineering which is related to area like Cyberinfrastructure, Software bug, Quality of service and Usage data.
As a part of the same scientific study, Gregor von Laszewski usually deals with the Supercomputer, concentrating on Virtualization and frequently concerns with User experience design, Virtual LAN, High-throughput computing and Distributed computing.
Between 2012 and 2021, his most popular works were:
- Performance metrics and auditing framework using application kernels for high‐performance computer systems (36 citations)
- Using XDMoD to facilitate XSEDE operations, planning and analysis (29 citations)
- Comprehensive, open-source resource usage measurement and analysis for HPC systems (10 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Software
His primary scientific interests are in Resource, Data science, Database, Software engineering and Big data.
He combines subjects such as Petascale computing, Supercomputer, Virtualization and Node with his study of Resource.
Data science is closely attributed to Field in his research.
The study incorporates disciplines such as Systems management and Set in addition to Database.
His Software engineering research includes themes of Focus and Measure.
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