國立虎尾科技大學 |

A novel framework to model, discover, compose and optimize web services in cloud environment.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	A novel framework to model, discover, compose and optimize web services in cloud environment./
作者:	Khoury, Ibrahim Suhail.
面頁冊數:	1 online resource (148 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9781369661309

A novel framework to model, discover, compose and optimize web services in cloud environment.
Khoury, Ibrahim Suhail.

A novel framework to model, discover, compose and optimize web services in cloud environment. - 1 online resource (148 pages)

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.

Thesis (Ph.D.)--Oakland University, 2014.

Includes bibliographical references

Today, web service is a distributed technology that can successfully solve in-tegration problems between heterogeneous systems. The supporting technology for web services has been widely studied mainly focusing on the standardization of service transactions and running a single and multiple web services. However, with the growing demand of cloud computing, most companies are moving software to the cloud in form of web services, which forces researchers to find more efficient techniques and approaches that can deal with large-scale web services. In dealing with complex and large-scale web service requests, there are many issues that need to be addressed such as the complexity of designing large-scale tasks, the lack of semantic discovery process and the inefficiency of QoS based composition and optimization algorithms. In this dissertation, a novel approach to model, discover, compose and optimize large-scale web services in cloud environment is being proposed. The proposed approach consists of four main components. First, a Model-Driven approach that uses UML to design the web service composition workflow. Second, a cluster-based approach will be used to cluster web services, which will significantly improve the web service discovery process. Finally, an evolutionary optimization algorithm and a tree-based heuristic search algorithm will be proposed to optimize web service composition and find the optimal solution according to multi-objective QoS attributes.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369661309Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

A novel framework to model, discover, compose and optimize web services in cloud environment.
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502 $a Thesis (Ph.D.)--Oakland University, 2014.
504 $a Includes bibliographical references
520 $a Today, web service is a distributed technology that can successfully solve in-tegration problems between heterogeneous systems. The supporting technology for web services has been widely studied mainly focusing on the standardization of service transactions and running a single and multiple web services. However, with the growing demand of cloud computing, most companies are moving software to the cloud in form of web services, which forces researchers to find more efficient techniques and approaches that can deal with large-scale web services. In dealing with complex and large-scale web service requests, there are many issues that need to be addressed such as the complexity of designing large-scale tasks, the lack of semantic discovery process and the inefficiency of QoS based composition and optimization algorithms. In this dissertation, a novel approach to model, discover, compose and optimize large-scale web services in cloud environment is being proposed. The proposed approach consists of four main components. First, a Model-Driven approach that uses UML to design the web service composition workflow. Second, a cluster-based approach will be used to cluster web services, which will significantly improve the web service discovery process. Finally, an evolutionary optimization algorithm and a tree-based heuristic search algorithm will be proposed to optimize web service composition and find the optimal solution according to multi-objective QoS attributes.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
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