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    Rights statement: ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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Interaction-awareness for self-adaptive volunteer computing

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Interaction-awareness for self-adaptive volunteer computing. / Elhabbash, Abdessalam; Bahsoon, Rami; Tino, Peter.
2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO). IEEE, 2016. p. 148-149.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Elhabbash, A, Bahsoon, R & Tino, P 2016, Interaction-awareness for self-adaptive volunteer computing. in 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO). IEEE, pp. 148-149. https://doi.org/10.1109/SASO.2016.24

APA

Elhabbash, A., Bahsoon, R., & Tino, P. (2016). Interaction-awareness for self-adaptive volunteer computing. In 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO) (pp. 148-149). IEEE. https://doi.org/10.1109/SASO.2016.24

Vancouver

Elhabbash A, Bahsoon R, Tino P. Interaction-awareness for self-adaptive volunteer computing. In 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO). IEEE. 2016. p. 148-149 doi: 10.1109/SASO.2016.24

Author

Elhabbash, Abdessalam ; Bahsoon, Rami ; Tino, Peter. / Interaction-awareness for self-adaptive volunteer computing. 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO). IEEE, 2016. pp. 148-149

Bibtex

@inproceedings{db1cfaa716a24057bbcc4b069eb13c08,
title = "Interaction-awareness for self-adaptive volunteer computing",
abstract = "In this paper, we contribute to a self-adaptive approach, namely interaction-awareness which adopts self-aware principles to dynamically manage and maintain the knowledge on the interactions between volunteer services in the volunteer computing paradigm. Such knowledge can inform the adaptation decisions, leading to increase in the precision of selecting and composing services. We evaluate the approaches using a volunteer storage composition scenario. The evaluation results show the advantages of dynamic knowledge management in self-adaptive VC in selecting dependable services and satisfying higher number of requests.",
author = "Abdessalam Elhabbash and Rami Bahsoon and Peter Tino",
note = "{\textcopyright}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2016",
month = dec,
day = "8",
doi = "10.1109/SASO.2016.24",
language = "English",
isbn = "9781509035359",
pages = "148--149",
booktitle = "2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Interaction-awareness for self-adaptive volunteer computing

AU - Elhabbash, Abdessalam

AU - Bahsoon, Rami

AU - Tino, Peter

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2016/12/8

Y1 - 2016/12/8

N2 - In this paper, we contribute to a self-adaptive approach, namely interaction-awareness which adopts self-aware principles to dynamically manage and maintain the knowledge on the interactions between volunteer services in the volunteer computing paradigm. Such knowledge can inform the adaptation decisions, leading to increase in the precision of selecting and composing services. We evaluate the approaches using a volunteer storage composition scenario. The evaluation results show the advantages of dynamic knowledge management in self-adaptive VC in selecting dependable services and satisfying higher number of requests.

AB - In this paper, we contribute to a self-adaptive approach, namely interaction-awareness which adopts self-aware principles to dynamically manage and maintain the knowledge on the interactions between volunteer services in the volunteer computing paradigm. Such knowledge can inform the adaptation decisions, leading to increase in the precision of selecting and composing services. We evaluate the approaches using a volunteer storage composition scenario. The evaluation results show the advantages of dynamic knowledge management in self-adaptive VC in selecting dependable services and satisfying higher number of requests.

U2 - 10.1109/SASO.2016.24

DO - 10.1109/SASO.2016.24

M3 - Conference contribution/Paper

SN - 9781509035359

SP - 148

EP - 149

BT - 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

PB - IEEE

ER -