Cloud computing holds the promise of “computing as a utility”, where users can access services from everywhere in a “pay-as-you-go” fashion. Enabled by cloud computing, developers are no longer required to purchase and maintain hardware to deploy their software and services, which has rapidly changed the IT industry and shaped the way how software is designed and delivered. The first-generation cloud (referred to as Cloud 1.0 in this proposal) mainly focuses on aggregating large-scale IT resources into a single cloud and providing well-managed, auto-provisioned resources and services. In Cloud 1.0, various forms of computing paradigms, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS), have achieved remarkable. However, there has recently been new challenges emerging to cloud computing. First, globalized ecommerce has largely redefined the requirements on cloud computing, and more collaboration is required between individual clouds due to service combination and location-sensitive computation. Second, many cloud-based businesses are experiencing a burst of computation. For example, events like “November 11” and “Black Friday” usually require over 10x more resources than daily operations, creating exhausted pressure to any single cloud provider. Finally, the emerging big data and blockchain applications have brought great challenges to cloud computing performance and provider-cross service collaborations. In this scenario, not only the performance and ease-of-use, but also the trustworthiness of the services is highly urged.