What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Michael J. Freedman spends much of his time researching Computer network, Distributed computing, Scalability, Server and Network architecture.
Many of his studies on Computer network involve topics that are commonly interrelated, such as Web server.
His work on Unicast as part of general Distributed computing research is frequently linked to Replica, thereby connecting diverse disciplines of science.
His research in Scalability tackles topics such as Cloud computing which are related to areas like Optimization problem, Heuristics, Distributed algorithm, Anycast and Load balancing.
He usually deals with Server and limits it to topics linked to Computer security and Accountability and Computer data storage.
The concepts of his Network architecture study are interwoven with issues in Ethernet, SIMPLE and Network packet.
His most cited work include:
- Efficient Private Matching and Set Intersection (981 citations)
- Ethane: taking control of the enterprise (913 citations)
- Tarzan: a peer-to-peer anonymizing network layer (661 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Distributed computing, Computer security, Scalability and Server.
The various areas that Michael J. Freedman examines in his Computer network study include Web server and The Internet.
His Distributed computing research is multidisciplinary, incorporating elements of Cloud computing and Partition.
His work in the fields of Computer security, such as Encryption, Anonymity and Key, overlaps with other areas such as Reputation system.
He combines subjects such as Padding, Theoretical computer science and Cryptography with his study of Encryption.
In most of his Server studies, his work intersects topics such as Throughput.
He most often published in these fields:
- Computer network (26.11%)
- Distributed computing (24.84%)
- Computer security (14.65%)
What were the highlights of his more recent work (between 2018-2021)?
- Analytics (5.73%)
- Table (3.18%)
- Database (5.10%)
In recent papers he was focusing on the following fields of study:
Michael J. Freedman focuses on Analytics, Table, Database, Set and Political radicalism.
His study in Analytics is interdisciplinary in nature, drawing from both Sampling, Metadata and Information retrieval.
His study looks at the intersection of Table and topics like Time series database with Interface and Data manipulation language.
When carried out as part of a general Database research project, his work on Row and Column is frequently linked to work in Uncompressed video, therefore connecting diverse disciplines of study.
His Set study combines topics in areas such as Abstraction, Elasticity and Use case.
The Political radicalism study combines topics in areas such as Opposition and Scholarship.
Between 2018 and 2021, his most popular works were:
- Resource Elasticity in Distributed Deep Learning (13 citations)
- EnclaveDom: Privilege Separation for Large-TCB Applications in Trusted Execution Environments (7 citations)
- Rhetorics of Radicalism (5 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
His primary areas of investigation include Memory protection, Operating system, System call, Privilege separation and Redundancy.
Other disciplines of study, such as Access control, Linux kernel, Exploit, Principle of least privilege and Call stack, are mixed together with his Memory protection studies.
In his works, he undertakes multidisciplinary study on Operating system and Vulnerability.
He interconnects Trusted application and Porting in the investigation of issues within System call.
His Redundancy study frequently intersects with other fields, such as Computer hardware.
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