A self-organization model for complex computing and communication systems

Dan C. Marinescu; John P. Morrison; Chen Yu; Christoffer Norvik; Howard Jay Siegel

doi:10.1109/SASO.2008.25

A self-organization model for complex computing and communication systems

Dan C. Marinescu
, John P. Morrison
, Chen Yu
, Christoffer Norvik
, Howard Jay Siegel

School of Computer Science and Information Technology

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Abstract

We introduce a model of self-organizing systems inspired by biological and Physics metaphors. The motivation for the development of this model is twofold, it enables us to identify critical properties of a system and to understand the important metrics characterizing its qualitative and the quantitative behavior. It also enables us to develop a methodology to investigate these systems and to carry out comparative studies of alternative policies that govern system behavior. We illustrate the application of the model with a preliminary study of a system designed to encourage green computing and we present some preliminary simulation results of the model.

Original language	English
Title of host publication	Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008
Pages	149-158
Number of pages	10
DOIs	https://doi.org/10.1109/SASO.2008.25
Publication status	Published - 2008
Event	2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008 - Venice, Italy Duration: 20 Oct 2008 → 24 Oct 2008

Publication series

Name	Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008

Conference

Conference	2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008
Country/Territory	Italy
City	Venice
Period	20/10/08 → 24/10/08

Keywords

Distributed systems
DNA
Fault-tolerance
Genes
Resource management
Scalability
Self-organization

Access to Document

10.1109/SASO.2008.25

Cite this

Marinescu, D. C., Morrison, J. P., Yu, C., Norvik, C., & Siegel, H. J. (2008). A self-organization model for complex computing and communication systems. In Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008 (pp. 149-158). Article 4663419 (Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008). https://doi.org/10.1109/SASO.2008.25

@inbook{6a4fe731b49945e1ad337f10c9c7dab7,

title = "A self-organization model for complex computing and communication systems",

abstract = "We introduce a model of self-organizing systems inspired by biological and Physics metaphors. The motivation for the development of this model is twofold, it enables us to identify critical properties of a system and to understand the important metrics characterizing its qualitative and the quantitative behavior. It also enables us to develop a methodology to investigate these systems and to carry out comparative studies of alternative policies that govern system behavior. We illustrate the application of the model with a preliminary study of a system designed to encourage green computing and we present some preliminary simulation results of the model.",

keywords = "Distributed systems, DNA, Fault-tolerance, Genes, Resource management, Scalability, Self-organization",

author = "Marinescu, \{Dan C.\} and Morrison, \{John P.\} and Chen Yu and Christoffer Norvik and Siegel, \{Howard Jay\}",

year = "2008",

doi = "10.1109/SASO.2008.25",

language = "English",

isbn = "9780769534046",

series = "Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008",

pages = "149--158",

booktitle = "Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008",

note = "2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008 ; Conference date: 20-10-2008 Through 24-10-2008",

}

Marinescu, DC, Morrison, JP, Yu, C, Norvik, C & Siegel, HJ 2008, A self-organization model for complex computing and communication systems. in Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008., 4663419, Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008, pp. 149-158, 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008, Venice, Italy, 20/10/08. https://doi.org/10.1109/SASO.2008.25

A self-organization model for complex computing and communication systems. / Marinescu, Dan C.; Morrison, John P.; Yu, Chen et al.
Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008. 2008. p. 149-158 4663419 (Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008).

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

TY - CHAP

T1 - A self-organization model for complex computing and communication systems

AU - Marinescu, Dan C.

AU - Morrison, John P.

AU - Yu, Chen

AU - Norvik, Christoffer

AU - Siegel, Howard Jay

PY - 2008

Y1 - 2008

N2 - We introduce a model of self-organizing systems inspired by biological and Physics metaphors. The motivation for the development of this model is twofold, it enables us to identify critical properties of a system and to understand the important metrics characterizing its qualitative and the quantitative behavior. It also enables us to develop a methodology to investigate these systems and to carry out comparative studies of alternative policies that govern system behavior. We illustrate the application of the model with a preliminary study of a system designed to encourage green computing and we present some preliminary simulation results of the model.

AB - We introduce a model of self-organizing systems inspired by biological and Physics metaphors. The motivation for the development of this model is twofold, it enables us to identify critical properties of a system and to understand the important metrics characterizing its qualitative and the quantitative behavior. It also enables us to develop a methodology to investigate these systems and to carry out comparative studies of alternative policies that govern system behavior. We illustrate the application of the model with a preliminary study of a system designed to encourage green computing and we present some preliminary simulation results of the model.

KW - Distributed systems

KW - DNA

KW - Fault-tolerance

KW - Genes

KW - Resource management

KW - Scalability

KW - Self-organization

UR - https://www.scopus.com/pages/publications/57949092361

U2 - 10.1109/SASO.2008.25

DO - 10.1109/SASO.2008.25

M3 - Chapter

AN - SCOPUS:57949092361

SN - 9780769534046

T3 - Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008

SP - 149

EP - 158

BT - Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008

T2 - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008

Y2 - 20 October 2008 through 24 October 2008

ER -

Marinescu DC, Morrison JP, Yu C, Norvik C, Siegel HJ. A self-organization model for complex computing and communication systems. In Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008. 2008. p. 149-158. 4663419. (Proceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008). doi: 10.1109/SASO.2008.25

A self-organization model for complex computing and communication systems

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this