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...
Saved in:
Main Author: | |
---|---|
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/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Mara |
Language: | English |
id |
my.uitm.ir.64537 |
---|---|
record_format |
eprints |
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/ |
_version_ |
1812128323210313728 |