What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Database
His primary areas of investigation include Distributed computing, Operating system, Disk array, RAID and Computer data storage.
His Distributed computing research includes themes of Resource, Provisioning, Cloud computing and Parallel computing.
His work on Idle as part of general Operating system study is frequently linked to Temporal isolation among virtual machines, therefore connecting diverse disciplines of science.
His Disk array study combines topics in areas such as File server, Data availability, Online transaction processing and Quiet period.
His studies deal with areas such as Simulation and Benchmark as well as RAID.
The Computer data storage study combines topics in areas such as Cache, Transaction processing, Embedded system, Redundancy and Software.
His most cited work include:
- An introduction to disk drive modeling (810 citations)
- Large-scale cluster management at Google with Borg (684 citations)
- CloudScale: elastic resource scaling for multi-tenant cloud systems (507 citations)
What are the main themes of his work throughout his whole career to date?
John Wilkes mostly deals with Computer data storage, Distributed computing, Operating system, Workload and Real-time computing.
His Computer data storage study combines topics from a wide range of disciplines, such as Redundancy, Data redundancy and Computer network.
His research investigates the link between Distributed computing and topics such as Cloud computing that cross with problems in Resource.
His study explores the link between Operating system and topics such as Embedded system that cross with problems in Software.
In his research on the topic of Computer hardware, Interconnection is strongly related with Set.
His Cache study results in a more complete grasp of Parallel computing.
He most often published in these fields:
- Computer data storage (22.00%)
- Distributed computing (20.00%)
- Operating system (16.00%)
What were the highlights of his more recent work (between 2012-2020)?
- Cloud computing (6.67%)
- Resource (6.00%)
- Distributed computing (20.00%)
In recent papers he was focusing on the following fields of study:
John Wilkes mainly investigates Cloud computing, Resource, Distributed computing, Scheduling and Workload.
His biological study spans a wide range of topics, including Quality of service and Service level.
The study incorporates disciplines such as Domain, Space, Set and Value in addition to Resource.
His work in Distributed computing covers topics such as Job shop scheduling which are related to areas like Optimization problem, Data center, Network topology and Fault tolerance.
John Wilkes has researched Scheduling in several fields, including Software engineering, Systems architecture and Admission control.
His work in the fields of Autoscaling overlaps with other areas such as Environmental economics.
Between 2012 and 2020, his most popular works were:
- Large-scale cluster management at Google with Borg (684 citations)
- Omega: flexible, scalable schedulers for large compute clusters (491 citations)
- Borg, Omega, and Kubernetes (228 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Database
His main research concerns Cloud computing, Distributed computing, Operating system, Interference and Cluster.
His study in Cloud computing is interdisciplinary in nature, drawing from both Agile software development, Virtual machine, Application server and Resource.
His Distributed computing research incorporates themes from Lead time and Parallelism.
His Operating system study incorporates themes from Systems architecture, Software engineering and Admission control.
His Interference studies intersect with other disciplines such as Key, Outcome, Computer performance, Isolation and Throttle.
Cluster combines with fields such as Scheduling, State, Scalability and Policy decision in his research.
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