What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Programming language
Alan L. Cox focuses on Operating system, Parallel computing, Distributed shared memory, Memory management and TreadMarks.
His work in Operating system addresses issues such as Embedded system, which are connected to fields such as Virtual network.
His work on Distributed memory as part of general Parallel computing research is often related to OpenFlow, thus linking different fields of science.
To a larger extent, Alan L. Cox studies Shared memory with the aim of understanding Distributed memory.
His studies in Distributed shared memory integrate themes in fields like Software distributed shared memory and False sharing.
His research integrates issues of Page table, Memory map and Translation lookaside buffer in his study of Memory management.
His most cited work include:
- TreadMarks: shared memory computing on networks of workstations (791 citations)
- TreadMarks: distributed shared memory on standard workstations and operating systems (603 citations)
- Lazy release consistency for software distributed shared memory (559 citations)
What are the main themes of his work throughout his whole career to date?
Alan L. Cox mainly focuses on Operating system, Parallel computing, Distributed computing, Shared memory and Distributed shared memory.
His study in Operating system focuses on TreadMarks, Cache, Software, Virtualization and Virtual machine.
His Message passing, Multiprocessing and Speedup study in the realm of Parallel computing interacts with subjects such as Release consistency.
The study incorporates disciplines such as Network topology, Computer network, Routing table and Dynamic web page in addition to Distributed computing.
The concepts of his Shared memory study are interwoven with issues in Interleaved memory, Uniform memory access and Memory management.
His study looks at the relationship between Distributed shared memory and topics such as False sharing, which overlap with Benchmark.
He most often published in these fields:
- Operating system (32.06%)
- Parallel computing (30.53%)
- Distributed computing (29.01%)
What were the highlights of his more recent work (between 2012-2020)?
- Server (9.16%)
- Speedup (5.34%)
- Parallel computing (30.53%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Server, Speedup, Parallel computing, Distributed computing and Computer network.
His research in Server tackles topics such as Multi-core processor which are related to areas like Search engine, Overhead, Automatic parallelization and Task parallelism.
Alan L. Cox focuses mostly in the field of Speedup, narrowing it down to topics relating to Latency and, in certain cases, Workload, Real-time computing, Database and Computation.
His Database research is multidisciplinary, incorporating perspectives in Operating system and Cache.
His Parallel computing research includes elements of Dram and Reduction.
His work deals with themes such as Routing table, Failover, Hierarchical routing, Backup and Packet loss, which intersect with Distributed computing.
Between 2012 and 2020, his most popular works were:
- Predictive parallelization: taming tail latencies in web search (65 citations)
- Practical DCB for improved data center networks (43 citations)
- Adaptive parallelism for web search (41 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Programming language
Alan L. Cox mostly deals with Server, Multi-core processor, Parallel computing, Network topology and Routing table.
He interconnects Overhead, Parallelism, Task parallelism, Resource management and Web search query in the investigation of issues within Server.
His research in Multi-core processor intersects with topics in Degree of parallelism, Automatic parallelization, Speedup and Task.
His study ties his expertise on Search engine together with the subject of Parallel computing.
His Network topology study incorporates themes from Forwarding information base, Distributed computing, Packet forwarding and Forwarding plane.
His Distributed computing research includes themes of Ethernet and Link-state routing protocol, Static routing, Hierarchical routing, Dynamic Source Routing.
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