Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof

Managing coordination between Autonomic Managers in the autonomic cloud environment requires an effective control mechanism to handle issues, namely, the coordination conflict between Autonomic Managers during planning and execution phase of MAPE-K framework. This framework provides a primary contro...

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Main Author:	Yusof, Ahmad Izzuddin
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/64537/1/64537.pdf
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id	my-uitm-ir.64537
record_format	uketd_dc
spelling	my-uitm-ir.645372022-09-14T04:52:25Z Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof 2018 Yusof, Ahmad Izzuddin Neural networks (Computer science) Managing coordination between Autonomic Managers in the autonomic cloud environment requires an effective control mechanism to handle issues, namely, the coordination conflict between Autonomic Managers during planning and execution phase of MAPE-K framework. This framework provides a primary control loop in managing automated adaptation process with multiple autonomic managers. Existing work have address autonomic managers being designed to address certain problem, but issue remains in coordinating the autonomic manager within decentralized environment for an appropriate and effective global self-adaptive management. The objective of this research is to show and prove that coordination between Autonomic Managers with negotiation and synchronization protocol during planning and execution phase respectively, able to resolve this issue and providing better overall control within the adaptation process. This research introduces a new specialty and novelty coordination model by combining negotiation and synchronization during planning and execution phase accordingly based on the MAPE-K control loop. Negotiation allows two parties to discuss to meet particular agreement while synchronization controls execution process according to agreed negotiation result. This new coordination model is evaluated by using the enhanced CloudSim simulator by integrating with a message broker. The result from the experiment shows that combination of negotiation and synchronization can manage coordination conflicts during a runtime adaptation. 2018 Thesis https://ir.uitm.edu.my/id/eprint/64537/ https://ir.uitm.edu.my/id/eprint/64537/1/64537.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Ismail, Azlan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ismail, Azlan
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Yusof, Ahmad Izzuddin Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof
description	Managing coordination between Autonomic Managers in the autonomic cloud environment requires an effective control mechanism to handle issues, namely, the coordination conflict between Autonomic Managers during planning and execution phase of MAPE-K framework. This framework provides a primary control loop in managing automated adaptation process with multiple autonomic managers. Existing work have address autonomic managers being designed to address certain problem, but issue remains in coordinating the autonomic manager within decentralized environment for an appropriate and effective global self-adaptive management. The objective of this research is to show and prove that coordination between Autonomic Managers with negotiation and synchronization protocol during planning and execution phase respectively, able to resolve this issue and providing better overall control within the adaptation process. This research introduces a new specialty and novelty coordination model by combining negotiation and synchronization during planning and execution phase accordingly based on the MAPE-K control loop. Negotiation allows two parties to discuss to meet particular agreement while synchronization controls execution process according to agreed negotiation result. This new coordination model is evaluated by using the enhanced CloudSim simulator by integrating with a message broker. The result from the experiment shows that combination of negotiation and synchronization can manage coordination conflicts during a runtime adaptation.
format	Thesis
qualification_level	Master's degree
author	Yusof, Ahmad Izzuddin
author_facet	Yusof, Ahmad Izzuddin
author_sort	Yusof, Ahmad Izzuddin
title	Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof
title_short	Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof
title_full	Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof
title_fullStr	Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof
title_full_unstemmed	Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof
title_sort	decentralized coordination during planning and execution phase of mape-k for autonomic cloud environment / ahmad izzuddin yusof
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/64537/1/64537.pdf
_version_	1783735481148637184

Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof

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