典型的混合雲環境為私有資料中心與一部分公有雲的結合，它能夠在需要時提供私有資料中心的運算資源，因此可以減少企業建置計算資源的成本，將成本風險轉嫁至雲端服務提供者。本研究結合多重代理人系統、雲端運算，提出一個計算管理系統，它可以在具有自我資源供應能力的混合雲環境下進行自我調適與平衡負載。當私有資料中心出現負載過重的情況下，我們提出的架構將會自動地在公有雲上開啟更多計算資源，並將負載遷移至其上以減少私有資料中心的負載。我們利用多重代理人技術來管理資源、監控應用程式資訊與協調系統的所有行為。我們針對不同類型的計算模式提出其運行的自動調適模式，並在混合雲環境的上進行數個實驗，來證明我們所提出的架構能達到自動調適與負載平衡。

A typical hybrid cloud consists of a private data center and a portion of a public cloud. It can potentially scale up the computing pool of a private cloud on demand. Therefore, it can reduce the cost of building a private cloud (data center) and transfer the risk to the cloud service provider. In this work, we adopt the concepts of multi-agent systems and cloud computing systems, and develop a framework to support self-adaptability and dynamic load balancing in a self-provisioning cloud environment. In the case that the workload of the private data center is too high, the proposed framework creates more computing resources in the public cloud automatically, and moves the ultra-burden tasks to the public cloud in order to reduce the workload of the private data center. The proposed framework employs the multi-agent technique to manage all resources, to monitor applications, and to negotiate all actions in the hybrid cloud. We have designed different adaptive models for different types of applications in the proposed system architecture, including Hadoop-based applications, MPI-based applications, and web services. We have built a prototype of the proposed system architecture to demonstrate how it is able to perform self-adaptation and load balancing.

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