Amotz Bar-Noy mostly deals with Computer network, Algorithm, Distributed computing, Mathematical optimization and Approximation algorithm. His Computer network study combines topics in areas such as Wireless and Wireless network. His Wireless network study integrates concerns from other disciplines, such as Markov process and Topology.
The various areas that Amotz Bar-Noy examines in his Distributed computing study include Telecommunications network, Assignment problem and Task. The concepts of his Mathematical optimization study are interwoven with issues in Routing, Upper and lower bounds, Randomized algorithm and Fair-share scheduling. His work carried out in the field of Approximation algorithm brings together such families of science as Time complexity, Greedy algorithm, Heterogeneous network, Multicast and Linear programming.
His primary areas of study are Computer network, Distributed computing, Combinatorics, Mathematical optimization and Wireless sensor network. His study in Computer network is interdisciplinary in nature, drawing from both Wireless, Wireless network and Communication channel. Amotz Bar-Noy has researched Distributed computing in several fields, including Assignment problem, Key distribution in wireless sensor networks and Telecommunications network.
His research in Combinatorics intersects with topics in Discrete mathematics and Upper and lower bounds. His Upper and lower bounds research is multidisciplinary, incorporating perspectives in Algorithm and Randomized algorithm. Amotz Bar-Noy combines subjects such as Scheduling, Job shop scheduling and Fair-share scheduling with his study of Mathematical optimization.
Amotz Bar-Noy mainly investigates Combinatorics, Wireless sensor network, Approximation algorithm, Graph and Discrete mathematics. His research in the fields of Degree and Binary logarithm overlaps with other disciplines such as Interval Sequence and Value. His studies in Wireless sensor network integrate themes in fields like Data modeling, Cover, Radius and Mathematical optimization.
His work deals with themes such as Function, Upper and lower bounds, Aggregate and Statistical assumption, which intersect with Mathematical optimization. His Approximation algorithm research is multidisciplinary, incorporating elements of Assignment problem, Generalized assignment problem, Wireless network, Simulation and Star. Amotz Bar-Noy brings together Information needs and Distributed computing to produce work in his papers.
His scientific interests lie mostly in Wireless sensor network, Scheduling, Combinatorics, Mathematical optimization and Data mining. His studies deal with areas such as Reliability, Base, Greedy algorithm, Function and Statistical assumption as well as Wireless sensor network. His Scheduling research incorporates themes from Operations research, Bottleneck, Real-time computing and Key.
His work on Graph, Vertex and Interval as part of general Combinatorics research is frequently linked to Integer and Interval Sequence, thereby connecting diverse disciplines of science. His Graph study combines topics from a wide range of disciplines, such as Disjoint sets, Realizability, Partition and Approximation algorithm. His Mathematical optimization research includes themes of Wireless network, Transmission and Aggregate.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Mobile users: to update or not to update?
Amotz Bar-Noy;Ilan Kessler;Moshe Sidi.
Wireless Networks (1995)
Sharing memory robustly in message-passing systems
Hagit Attiya;Amotz Bar-Noy;Danny Dolev.
Journal of the ACM (1995)
A unified approach to approximating resource allocation and scheduling
Amotz Bar-Noy;Reuven Bar-Yehuda;Ari Freund;Joseph (Seffi) Naor.
Journal of the ACM (2001)
Tracking mobile users in wireless communications networks
A. Bar-Noy;I. Kessler.
IEEE Transactions on Information Theory (1993)
Minimizing Service and Operation Costs of Periodic Scheduling
Amotz Bar-Noy;Randeep Bhatia;Joseph Seffi Naor;Baruch Schieber.
Mathematics of Operations Research (2002)
A lower bound for radio broadcast
Noga Alon;Noga Alon;Amotz Bar-Noy;Nathan Linial;Nathan Linial;David Peleg.
Journal of Computer and System Sciences (1991)
Renaming in an asynchronous environment
Hagit Attiya;Amotz Bar-Noy;Danny Dolev;David Peleg.
Journal of the ACM (1990)
Compact distributed data structures for adaptive routing
B. Awerbuch;Amotz Bar-Noy;Nathan Linial;D. Peleg.
CWI quarterly (1989)
Designing broadcasting algorithms in the postal model for message-passing systems
Amotz Bar-Noy;Shlomo Kipnis.
acm symposium on parallel algorithms and architectures (1992)
Approximating the throughput of multiple machines under real-time scheduling
Amotz Bar-Noy;Sudipto Guha;Joseph (Seffi) Naor;Baruch Schieber.
symposium on the theory of computing (1999)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
New Jersey Institute of Technology
Weizmann Institute of Science
Pennsylvania State University
Technion – Israel Institute of Technology
University of Illinois at Urbana-Champaign
Hebrew University of Jerusalem
University of Washington
University of Southern California
Cardiff University
United States Army Research Laboratory
University of Maryland, College Park
National Yang Ming Chiao Tung University
General Electric (United States)
Goethe University Frankfurt
University of Pennsylvania
Indian Institute of Technology Bombay
University of Turin
TU Dresden
American Museum of Natural History
University of Vienna
University of Essex
University of Rochester
Sapienza University of Rome
University of Regina
Maastricht University
The University of Texas at Austin