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:
Online Access:https://ir.uitm.edu.my/id/eprint/64537/1/64537.pdf
https://ir.uitm.edu.my/id/eprint/64537/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.64537
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spelling my.uitm.ir.645372024-10-04T00:33:42Z https://ir.uitm.edu.my/id/eprint/64537/ Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/64537/1/64537.pdf Decentralized coordination during planning and execution phase of MAPE-K for autonomic cloud environment / Ahmad Izzuddin Yusof. (2018) Masters thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/64537.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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
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
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/64537/1/64537.pdf
https://ir.uitm.edu.my/id/eprint/64537/
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