What is he best known for?
The fields of study he is best known for:
- Computer network
- Algorithm
- Mathematical optimization
Alexander L. Stolyar spends much of his time researching Scheduling, Mathematical optimization, Queue, Computer network and Queueing theory.
His Scheduling research incorporates elements of Real-time computing, Quality of service, Code division multiple access and Distributed computing.
His Mathematical optimization research includes themes of Earliest deadline first scheduling and Applied mathematics.
His research on Queue also deals with topics like
- Fair-share scheduling together with Dynamic priority scheduling,
- Network packet together with Algorithm.
His studies deal with areas such as Wireless ad hoc network, Countable set, Discrete time and continuous time and Finite set as well as Computer network.
His research in Queueing theory intersects with topics in Scheduling, Wireless network, Network congestion and Server.
His most cited work include:
- Providing quality of service over a shared wireless link (1143 citations)
- Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm (478 citations)
- Scheduling algorithms for a mixture of real-time and non-real-time data in HDR (393 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Mathematical optimization, Queue, Server, Scheduling and Computer network.
The study incorporates disciplines such as Fluid limit and Queueing theory in addition to Mathematical optimization.
His Queue research incorporates themes from Stability, Algorithm, Discrete time and continuous time and Network packet.
His studies in Server integrate themes in fields like Discrete mathematics, Randomized algorithm, Service system and Host.
His work deals with themes such as Code division multiple access and Throughput, which intersect with Scheduling.
The various areas that he examines in his Computer network study include Wireless network, Real-time computing, Distributed computing and Wireless ad hoc network.
He most often published in these fields:
- Mathematical optimization (41.41%)
- Queue (36.72%)
- Server (34.38%)
What were the highlights of his more recent work (between 2017-2021)?
- Queue (36.72%)
- Mathematical optimization (41.41%)
- Wireless network (13.28%)
In recent papers he was focusing on the following fields of study:
Queue, Mathematical optimization, Wireless network, Server and Algorithm are his primary areas of study.
His Queue study combines topics from a wide range of disciplines, such as Stability and Applied mathematics.
His work in the fields of Mathematical optimization, such as Asymptotically optimal algorithm and Inventory level, intersects with other areas such as Lead time, Energy consumption and Inventory cost.
His research investigates the connection between Wireless network and topics such as Node that intersect with issues in Throughput.
He interconnects Queueing theory, Distributed computing and Scale in the investigation of issues within Server.
His research in the fields of Optimization problem overlaps with other disciplines such as Stochastic stability, Stability conditions, Shadow and Virtual machine.
Between 2017 and 2021, his most popular works were:
- Online VM Auto-Scaling Algorithms for Application Hosting in a Cloud (15 citations)
- Shadow-Routing Based Dynamic Algorithms for Virtual Machine Placement in a Network Cloud (12 citations)
- Stability conditions for a discrete-time decentralised medium access algorithm (8 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Algorithm
- Mathematical optimization
The scientist’s investigation covers issues in Algorithm, Mathematical optimization, Queue, Routing and Virtual machine.
He has included themes like Throughput, Topology, Wireless network, Network topology and Node in his Algorithm study.
His Mathematical optimization study often links to related topics such as Server.
The concepts of his Queue study are interwoven with issues in Stability, Discrete time and continuous time and Network packet.
His Routing research incorporates elements of Algorithm design, Optimization problem and Queueing system.
His study in Fluid limit is interdisciplinary in nature, drawing from both Load balancing and Security token.
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.
