What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Programming language
John Kubiatowicz spends much of his time researching Distributed computing, Scalability, Computer network, Parallel computing and Fault tolerance.
The Distributed computing study combines topics in areas such as Routing, Bandwidth, Data structure and Key-based routing.
His Key-based routing research is multidisciplinary, relying on both Node and Bandwidth.
His Scalability study combines topics from a wide range of disciplines, such as Multiprocessing, Overhead and Shared memory.
His work deals with themes such as Variety, Overlay network and Hash table, which intersect with Computer network.
The study incorporates disciplines such as Finite-state machine and Linearizability in addition to Fault tolerance.
His most cited work include:
- OceanStore: an architecture for global-scale persistent storage (3026 citations)
- Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing (2190 citations)
- Tapestry: a resilient global-scale overlay for service deployment (1666 citations)
What are the main themes of his work throughout his whole career to date?
John Kubiatowicz mainly investigates Distributed computing, Computer network, Scalability, Overlay network and Quantum computer.
In general Distributed computing, his work in Fault tolerance is often linked to Locality linking many areas of study.
His Fault tolerance research incorporates themes from Error detection and correction and Server.
John Kubiatowicz works mostly in the field of Computer network, limiting it down to topics relating to Hash table and, in certain cases, Distributed hash table.
He interconnects High availability, Latency, Bandwidth and The Internet in the investigation of issues within Scalability.
His work carried out in the field of Overlay network brings together such families of science as Peer-to-peer, Network topology, Key-based routing, Distributed algorithm and Dynamic network analysis.
He most often published in these fields:
- Distributed computing (40.00%)
- Computer network (24.83%)
- Scalability (15.86%)
What were the highlights of his more recent work (between 2011-2019)?
- Cloud computing (6.90%)
- Operating system (10.34%)
- Distributed computing (40.00%)
In recent papers he was focusing on the following fields of study:
John Kubiatowicz mostly deals with Cloud computing, Operating system, Distributed computing, Garbage collection and Cryptography.
When carried out as part of a general Operating system research project, his work on Hardware acceleration, Overhead, Memory management and Tracing garbage collection is frequently linked to work in Alewife, therefore connecting diverse disciplines of study.
The various areas that he examines in his Distributed computing study include Temporal isolation among virtual machines, Real-time computing, Code refactoring, Scheduling and Multi-core processor.
His study on Garbage collection also encompasses disciplines like
- Runtime system and related SPARK, Software engineering and Workload,
- Java that intertwine with fields like Node.
His Cryptography study integrates concerns from other disciplines, such as Oblivious ram, Edge computing and Parallel computing.
His research investigates the link between Metadata and topics such as Computer network that cross with problems in Information repository.
Between 2011 and 2019, his most popular works were:
- PHANTOM: practical oblivious computation in a secure processor (167 citations)
- The cloud is not enough: saving iot from the cloud (135 citations)
- The Swarm at the Edge of the Cloud (86 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Programming language
His scientific interests lie mostly in Cloud computing, Distributed computing, Abstraction, Forwarding plane and Computer security.
His study in Cloud computing is interdisciplinary in nature, drawing from both Field-programmable gate array, Enhanced Data Rates for GSM Evolution and Cryptography.
His biological study spans a wide range of topics, including Swarm behaviour, Real-time computing and Actuator.
His studies in Cryptography integrate themes in fields like Dram, Adversary and Parallel computing.
John Kubiatowicz works on Distributed computing which deals in particular with Runtime system.
His Garbage collection research incorporates themes from Workload and SPARK.
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