针对大数据给服务带来的新变化与新挑战，致力于大数据环境下大服务理论与方法研究，在服务计算领域形成创新性学术思想与理论体系。大服务是大数据环境涌现出的服务新现象，指在互联网和现实世界中由跨网跨域跨世界的海量异构服务经过聚合与协同而形成的复杂服务形态。项目聚焦大数据环境下大服务构成机理与聚合新理论、基于大数据的服务顾客需求精准认知新方法、大数据支持的大服务构建新范型与新方法、大数据环境下大服务系统运行优化与动态重构新机理、大数据驱动的服务动态共享组合与适应性主动服务新机制等关键科学与技术问题，在服务聚合、服务需求认知、服务开发新范型、服务运行与共享新方法等方面形成创新突破，支持大数据环境下跨网跨域跨世界的服务聚合与优化运行，加强大数据和服务计算的相互支撑和叠加效应，动态主动高效安全地提供满足大规模个性化顾客需求和创造价值的服务，为大数据环境下“互联网+服务”行业的发展提供理论指导和技术支撑。

Tackling new changes and new challenges that big data brings on services, this project devotes to the research on big service theory and methods in big data era and consolidates services computing with innovative academic thoughts and a theory system. Emerging from big data impulse, big service refers to a complex service formation that takes shape by the convergence and collaboration among cross-network, cross-domain, and cross-world massive heterogeneous services. This project focuses on the constitution mechanism and the new convergence theory of big services in big data environment, big-data-based new methods for precise cognition of customer demands, big-data-enabled big service construction paradigm and methodology, new mechanism of runtime optimization and dynamic reconfiguration of big service systems, big-data-driven methods for dynamic service sharing/composition and adaptive/active service delivery, etc. We expect breakthroughs on service convergence, service requirement cognition, new paradigm on service development, and new methods on service execution and sharing. Project outcomes would facilitate cross-network, cross-domain and cross-world service convergence and optimized execution in big data environment, strengthen the mutual support and superimposed effect of big data and services computing, and accordingly, achieve the goal of providing services that could fulfill massive and personalized customer demands and create value in an active, dynamic, and effective way, and finally, provide theoretical guidance and technological support for the development of “Internet+” service industries in big data era.