Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


Philosophy and Cybernetics: Questions and Issues
Thomas Marlowe, Fr. Joseph R. Laracy
(pages: 1-23)

Reconceiving Cybernetics in Light of Thomistic Realism
John T. Laracy, Fr. Joseph R. Laracy
(pages: 24-39)

Nascent Cybernetics, Humanism, and Some Scientistic Challenges
Zachary M. Mabee
(pages: 40-52)

Kant, Cybernetics, and Cybersecurity: Integration and Secure Computation
Jon K. Burmeister, Ziyuan Meng
(pages: 53-78)

Interplay Between Cybernetics and Philosophy as an Essential Condition for Learning
Maria Jakubik
(pages: 79-97)

Towards a General Theory of Change: A Cybernetic and Philosophical Understanding
Gianfranco Minati
(pages: 98-109)

Artificial Intelligence and Human Intellect
Víctor Velarde-Mayol
(pages: 110-127)

The Philosophy of Cybernetics
Jeremy Horne
(pages: 128-159)

Cybernetics and Philosophy in a Translation of Oedipus the King and Its Performance
Ekaterini Nikolarea
(pages: 160-190)

Linguistic Philosophy of Cyberspace
Rusudan Makhachashvili, Ivan Semenist
(pages: 191-207)

Systems Philosophy and Cybernetics
Nagib Callaos
(pages: 208-284)


 

Abstracts

 


ABSTRACT


An Adaptive Process Allocation Scheme in Grid Environment

Tibor Gyires


The Grid is an interconnected set of distributed compute servers. An application running on the Grid consists of processes, which can be executed in parallel or in a sequential manner. An application can specify application level and network level Quality of Service parameters including number of processors, memory, special software, network bandwidth, delay, jitter, packet loss, etc. We investigate the question: Which processes are allocated to which compute servers that collectively satisfy the application’s resource requirements and optimize performance and cost parameters. We describe a protocol to identify those compute servers that can execute the application with minimal cost and provide the required application level and network level Quality of Service.

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