What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Statistics
Mor Harchol-Balter mainly investigates Distributed computing, Scheduling, Server, Workload and Computer network.
His studies deal with areas such as Technical report and Server system as well as Distributed computing.
His work carried out in the field of Scheduling brings together such families of science as Shared memory, Parallel computing and Operations research.
When carried out as part of a general Server research project, his work on Server farm is frequently linked to work in Mean and predicted response, therefore connecting diverse disciplines of study.
The Workload study which covers Queue that intersects with Mathematical optimization, Quality of service, Computer multitasking and Automatic control.
His research investigates the link between Computer network and topics such as Power management that cross with problems in Data center.
His most cited work include:
- Optimal power allocation in server farms (426 citations)
- Exploiting process lifetime distributions for dynamic load balancing (420 citations)
- Performance Modeling and Design of Computer Systems: Queueing Theory in Action (403 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Scheduling, Distributed computing, Server, Queue and Queueing theory.
His work on Processor sharing as part of general Scheduling research is frequently linked to Mean and predicted response, thereby connecting diverse disciplines of science.
Mor Harchol-Balter studied Distributed computing and Workload that intersect with Quality of service.
As part of one scientific family, Mor Harchol-Balter deals mainly with the area of Server, narrowing it down to issues related to the Data center, and often Power management.
Mor Harchol-Balter has researched Queue in several fields, including Upper and lower bounds, Monotonic function, Pareto principle and Task.
His Queueing theory research is multidisciplinary, incorporating perspectives in Discrete mathematics and Theoretical computer science.
He most often published in these fields:
- Scheduling (33.33%)
- Distributed computing (29.80%)
- Server (27.78%)
What were the highlights of his more recent work (between 2018-2021)?
- Scheduling (33.33%)
- Server (27.78%)
- Queue (26.26%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Scheduling, Server, Queue, Mathematical optimization and Mean and predicted response.
His work on Optimal scheduling as part of his general Scheduling study is frequently connected to Heavy traffic, thereby bridging the divide between different branches of science.
His Server research includes themes of Distributed computing, Computer security, Speedup, Queueing theory and Moment.
Mor Harchol-Balter does research in Distributed computing, focusing on Load balancing specifically.
His Queue study is concerned with the field of Computer network as a whole.
Mor Harchol-Balter merges Mean and predicted response with Response time in his study.
Between 2018 and 2021, his most popular works were:
- Borg: the next generation (17 citations)
- Delay asymptotics and bounds for multitask parallel jobs (10 citations)
- Delay Asymptotics and Bounds for Multi-Task Parallel Jobs (6 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Statistics
Queue, Scheduling, Server, Industrial engineering and Queueing theory are his primary areas of study.
His Queue course of study focuses on Discrete mathematics and Type.
His Scheduling study frequently links to related topics such as Mathematical optimization.
Server is a subfield of Computer network that Mor Harchol-Balter studies.
His studies in Industrial engineering integrate themes in fields like Workload, Scale and Variation.
Mor Harchol-Balter combines subjects such as Load balancing and Distributed computing with his study of Queueing theory.
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