{"id":685,"date":"2015-11-02T10:00:05","date_gmt":"2015-11-02T02:00:05","guid":{"rendered":"http:\/\/people.utm.my\/haslinasarkan\/?page_id=685"},"modified":"2015-11-02T10:00:05","modified_gmt":"2015-11-02T02:00:05","slug":"executive-summary","status":"publish","type":"page","link":"https:\/\/people.utm.my\/haslinasarkan\/research\/frgs\/collaborative-based-decision-support-model-for-web-service-selection-using-crowdsourcing-and-consensus-theory\/executive-summary\/","title":{"rendered":"Executive Summary"},"content":{"rendered":"<p style=\"text-align: justify\">Service Oriented Computing (SOC) is increasingly gaining momentum and offering an attractive paradigm for delivering variant functionalities to individuals and enterprises. However, service users are overloaded by a large number of candidate services offering similar functionalities. Therefore, selection of appropriate services fulfilling users\u2019 requirements becomes a key challenge in the SOC domain. QoS-aware Web Service Selection (WSS) as complex problem solver has become one of the most highlighted issues in service computing area. The QoS-aware selection problem maps to multi-objective optimization problem that is classified as NP-hard problem. It consists of selecting the best candidate services that maximizes QoS metrics and adhere to the constraints of users. There is a large body of research covering different aspects of QoS-aware service selection. Despite considerable research efforts, numerous open issues have not been addressed. This research tries to open a new horizon for service selection to utilize collaborative decision support models. The overall goal is to investigate a Pareto-optimal model considering user\u2019s objectives and constraints and propose a strategy to find the best trade-off of requested QoS metrics. Towards this end, two research aims are proposed: 1) To investigate the power of crowdsourcing and consensus theory to support QoS-aware service assessment. 2) To examine the role of fuzzy inference system to support multi-criteria service selection under vague preference of users. The proposed system should rank the candidate services with respect to their evaluated QoS metrics and user preferences on those metrics.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Service Oriented Computing (SOC) is increasingly gaining momentum and offering an attractive paradigm for delivering variant functionalities to individuals and enterprises. However, service users are overloaded by a large number of candidate services offering similar functionalities. Therefore, selection of appropriate services fulfilling users\u2019 requirements becomes a key challenge in the SOC domain. QoS-aware Web Service [&hellip;]<\/p>\n","protected":false},"author":6477,"featured_media":0,"parent":683,"menu_order":3,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-685","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages\/685","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/users\/6477"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/comments?post=685"}],"version-history":[{"count":0,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages\/685\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages\/683"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/media?parent=685"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}