His primary areas of study are World Wide Web, Client system, Database, Process and Operations research. His World Wide Web research includes elements of Multimedia, Management system and Internet privacy. His Client system research incorporates themes from Workload, Controller, Operating system, Real-time computing and Client agent.
His studies in Database integrate themes in fields like Object and Job scheduler. His work deals with themes such as Client-side and Table, which intersect with Process. Craig William Fellenstein combines subjects such as Resource allocation, Operations management and Cache with his study of Operations research.
His scientific interests lie mostly in World Wide Web, Distributed computing, Database, Multimedia and Grid computing. His World Wide Web research incorporates elements of Control and Mobile radio telephone. His Distributed Computing Environment and Availability management study, which is part of a larger body of work in Distributed computing, is frequently linked to State, bridging the gap between disciplines.
Craig William Fellenstein has included themes like Process and Client system in his Database study. The various areas that Craig William Fellenstein examines in his Multimedia study include Blocking and Logic programming. In his work, Computer network is strongly intertwined with Real-time computing, which is a subfield of Workload.
Distributed computing, Database, Operations research, Software and Selection are his primary areas of study. His work on Distributed Computing Environment as part of general Distributed computing study is frequently linked to Grid computing, State, Grid management and Test, bridging the gap between disciplines. His Database research is multidisciplinary, relying on both Client-side and Task.
The study incorporates disciplines such as Operations management and Cache in addition to Operations research. His biological study spans a wide range of topics, including EMC Invista, Converged storage, Provisioning and Process. His research integrates issues of Resource allocation and Knowledge management in his study of Selection.
His primary areas of study are Operations research, Matching, Cache, Operations management and Reuse. His study in Operations research is interdisciplinary in nature, drawing from both Job scheduler, Scheduling and Distributed computing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Apparatus and method for marketing to instant messaging service users
Craig Fellenstein;Carl Gusler;Rick Hamilton;James Seaman.
System and method for managing voicemails using metadata
Craig William Fellenstein;Carl Phillip Gusler;II Rick Allen Hamilton;James Wesley Seaman.
Exploring E-Commerce, Global E-Business, and E-Societies
Craig Fellenstein;Ron Wood.
Grouping electronic reply messages
Craig Fellenstein;Carl Phillip Gusler;II Rick Allen Hamilton;James Wesley Seaman.
Evolution of grid computing architecture and grid adoption models
J. Joseph;M. Ernest;C. Fellenstein.
Ibm Systems Journal (2004)
Managing escalating resource needs within a grid environment
Craig Fellenstein;Allen Hamilton Ii Rick;Joshy Joseph;James Seaman.
Messaging system and method using alternative message delivery paths
Craig Fellenstein;Carl Gusler;Rick Hamilton;Harry Schatz.
Automatically distributing a bid request for a grid job to multiple grid providers and analyzing responses to select a winning grid provider
Allen Hamilton Ii Rick;William Fellenstein Craig;Joshy Joseph;James Seaman.
Estimating future grid job costs by classifying grid jobs and storing results of processing grid job microcosms
Craig William Fellenstein;II Rick Allen Hamilton;Joshy Joseph;James W Seaman.
Maintaining application operations within a suboptimal grid environment
Valentino Di Luoffo Vincent;Craig Fellenstein;Allen Hamilton Rick;Joshy Joseph.
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.
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