Interaction-Awareness for Self-Adaptive Volunteer Computing

Abdessalam Elhabbash; Rami Bahsoon; Peter Tino

doi:10.1109/SASO.2016.24

Interaction-Awareness for Self-Adaptive Volunteer Computing

Abdessalam Elhabbash, Rami Bahsoon, Peter Tino

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings - IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	148-149
Number of pages	2
ISBN (Electronic)	9781509035342
DOIs	https://doi.org/10.1109/SASO.2016.24
Publication status	E-pub ahead of print - 8 Dec 2016
Event	10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016 - Augsburg, Germany Duration: 12 Sept 2016 → 16 Sept 2016

Conference

Conference	10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016
Country/Territory	Germany
City	Augsburg
Period	12/09/16 → 16/09/16

Keywords

dependability
self-adaptive
self-aware
service composition

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Control and Optimization

Access to Document

10.1109/SASO.2016.24

Cite this

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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.",

keywords = "dependability, self-adaptive, self-aware, service composition",

author = "Abdessalam Elhabbash and Rami Bahsoon and Peter Tino",

year = "2016",

month = dec,

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doi = "10.1109/SASO.2016.24",

language = "English",

pages = "148--149",

booktitle = "Proceedings - IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

note = "10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016 ; Conference date: 12-09-2016 Through 16-09-2016",

}

Elhabbash, A, Bahsoon, R & Tino, P 2016, Interaction-Awareness for Self-Adaptive Volunteer Computing. in Proceedings - IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016., 7774399, Institute of Electrical and Electronics Engineers (IEEE), pp. 148-149, 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016, Augsburg, Germany, 12/09/16. https://doi.org/10.1109/SASO.2016.24

Interaction-Awareness for Self-Adaptive Volunteer Computing. / Elhabbash, Abdessalam; Bahsoon, Rami ; Tino, Peter.
Proceedings - IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016. Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 148-149 7774399.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Interaction-Awareness for Self-Adaptive Volunteer Computing

AU - Elhabbash, Abdessalam

AU - Bahsoon, Rami

AU - Tino, Peter

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.

KW - dependability

KW - self-adaptive

KW - self-aware

KW - service composition

U2 - 10.1109/SASO.2016.24

DO - 10.1109/SASO.2016.24

M3 - Conference contribution

AN - SCOPUS:85010410437

SP - 148

EP - 149

BT - Proceedings - IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016

Y2 - 12 September 2016 through 16 September 2016

ER -

Interaction-Awareness for Self-Adaptive Volunteer Computing

Abstract

Conference

Keywords

ASJC Scopus subject areas

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