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Multi-Phase Ant Colony System for Multi-Party Data-Intensive Service Provision

時間： 地點：九龍湖校區計算機學院313會議室

報告簡介：

The rapid proliferation of enormous sources of digital data has led to greater dependence on data-intensive services. Each service may actually request or create a large amount of data sets. To compose these services will be more challenging. Issues such as autonomy, scalability, adaptability, and robustness, become difficult to resolve. In order to automate the process of reaching an agreement among service composers, service providers, and data providers, an ant-inspired negotiation mechanism is considered in this paper. We exploit a group of agents automatically negotiating to establish agreeable service contracts. Two stage negotiation procedures are used in our data-intensive service provision model, which will provide effective and efficient service selection for service composers. We also present a multi-phase, multi-party negotiation protocol, where the ant colony system is applied to select services with the best or near-optimal utility outputs. In order to adapt the ant colony system to handle the dynamic scenarios during negotiations, we also discuss several strategies for modifying the pheromone information in the first place. The experimental results show that our negotiation-based approach can facilitate the data-intensive service provision with better outcome.

報告人簡介：

沈俊博士2001年在bet356手机版唯一官网獲得計算機工學博士學位，先後在澳大利亞多所高校從事科研教學工作，現在伍倫貢大學任職，已經指導畢業博士4名，碩士3名。他在該校兼任ICT碩士學位協調人，信息系統和技術系學術委員會主席，學位委員會主任，他是IEEE高級會員和ACM高級會員，擔任《Journal of Web Services Research》《Services Oriented Computing and Applications》《International Journal of Cloud Computing》《International Journal of Embedded Sysem》編委，曾經四次擔任IEEE國際會議程序委員會主席，曾被40多國際頂級雜志邀請審稿，先後擔任60多國際會議程序委員會委員，其中已經連續多年擔任國際面向服務的計算大會(ICSOC)，IEEE服務計算大會(SCC)，雲計算大會(CLOUDS)和大數據峰會(Big Data)的程序委員。他本人已經發表論文90多篇。

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