2017 - ACM Fellow For contributions to performance modeling and analysis of distributed computing systems
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 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.
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.
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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Optimal power allocation in server farms
Anshul Gandhi;Mor Harchol-Balter;Rajarshi Das;Charles Lefurgy.
measurement and modeling of computer systems (2009)
Performance Modeling and Design of Computer Systems: Queueing Theory in Action
Exploiting process lifetime distributions for dynamic load balancing
Mor Harchol-Balter;Allen B. Downey.
ACM Transactions on Computer Systems (1997)
Thread Cluster Memory Scheduling: Exploiting Differences in Memory Access Behavior
Yoongu Kim;Michael Papamichael;Onur Mutlu;Mor Harchol-Balter.
international symposium on microarchitecture (2010)
ATLAS: A scalable and high-performance scheduling algorithm for multiple memory controllers
Yoongu Kim;Dongsu Han;Onur Mutlu;Mor Harchol-Balter.
high-performance computer architecture (2010)
Analysis of SRPT scheduling: investigating unfairness
Nikhil Bansal;Mor Harchol-Balter.
measurement and modeling of computer systems (2001)
Size-based scheduling to improve web performance
Mor Harchol-Balter;Bianca Schroeder;Nikhil Bansal;Mukesh Agrawal.
ACM Transactions on Computer Systems (2003)
On Choosing a Task Assignment Policy for a Distributed Server System
Mor Harchol-Balter;Mark E. Crovella;Cristina D. Murta.
Journal of Parallel and Distributed Computing (1999)
AutoScale: Dynamic, Robust Capacity Management for Multi-Tier Data Centers
Anshul Gandhi;Mor Harchol-Balter;Ram Raghunathan;Michael A. Kozuch.
ACM Transactions on Computer Systems (2012)
Connection Scheduling in Web Servers
Mark E. Crovella;Robert Frangioso;Mor Harchol-Balter.
usenix symposium on internet technologies and systems (1999)
Profile was last updated on December 6th, 2021.
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