Michael D. Swanson

What is he best known for?

The fields of study he is best known for:

• Operating system
• Database
• Programming language

Michael D. Swanson mostly deals with Cache, Operating system, Coupling, Computer network and Data processing system. His work deals with themes such as Value, Real-time computing and Serialization, which intersect with Cache. Operating system combines with fields such as Page cache, Cache invalidation, Cache pollution, Bus sniffing and Data element in his research.

The Coupling study combines topics in areas such as Multiprocessing and Embedded system. His study looks at the relationship between Computer network and topics such as Distributed computing, which overlap with Path, Lock and Data recovery. He works mostly in the field of Data processing system, limiting it down to topics relating to External storage and, in certain cases, Data structure, Polling, Control and State, as a part of the same area of interest.

His most cited work include:

• Coherence controls for store-multiple shared data coordinated by cache directory entries in a shared electronic storage (471 citations)
• Sysplex shared data coherency method (157 citations)
• Method and apparatus for distributed locking of shared data, employing a central coupling facility (157 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Database, Control, Operating system, Data processing system and Serialization. Michael D. Swanson combines subjects such as Distributed computing, State and Data structure with his study of Control. Operating system and Queue are commonly linked in his work.

His Data processing system research incorporates themes from Field, Real-time computing, Facility information model and Coupling. Michael D. Swanson interconnects Process, Lower priority and Set in the investigation of issues within Serialization. His work on Data coherency as part of general Cache study is frequently linked to Cache invalidation, therefore connecting diverse disciplines of science.

He most often published in these fields:

• Database (22.22%)
• Control (20.99%)
• Operating system (20.99%)

What were the highlights of his more recent work (between 2004-2014)?

• Information technology (16.05%)
• Knowledge management (14.81%)
• Process management (9.88%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Information technology, Knowledge management, Process management, Distributed computing and State of the Environment. The study incorporates disciplines such as Redundancy and Component in addition to Information technology. His Knowledge management research integrates issues from Representation, Resource and Data science.

He has researched Process management in several fields, including Selection and Operations management. His research integrates issues of Control, Lower priority and Serialization in his study of Distributed computing. His Control research incorporates themes from Operating system and Database.

Between 2004 and 2014, his most popular works were:

• Managing the computer collection of information in an information technology environment (102 citations)
• Adaptive business resiliency computer system for information technology environments (90 citations)
• Recovery segments for computer business applications (52 citations)

In his most recent research, the most cited papers focused on:

• Operating system
• Database
• Programming language

Michael D. Swanson spends much of his time researching Information technology, Knowledge management, Distributed computing, Data science and Component. Many of his studies involve connections with topics such as Database and Information technology. His studies deal with areas such as Representation, Resource and Software engineering as well as Knowledge management.

His Resource research incorporates elements of State, Aggregate, Containment, Event and Process management. Among his research on Distributed computing, you can see a combination of other fields of science like Action, Computer management and Control reconfiguration. His Redundancy study combines topics in areas such as Software deployment, Data mining and Human–computer interaction.