Over the last years, cloud computing has emerged as a natural choice to host, manage, and provide various kinds of virtualized resources (e.g., software, business processes, databases, platforms, mobile and social applications, etc.) as on-demand services. This “servicelization” across various domains has produced a huge volume of data, leading to the emergence of a new service model, called big service. This latter consists of the encapsulation, abstraction and the processing of big data, allowing then to hide their complexity. However, this promising approach still lacks management facilities and tools. Indeed, due to the highly dynamic and uncertain nature of their hosting cloud environments, big services together with their accessed data need continuous management operations, so that to maintain a moderate state and high quality of their execution. In this context, frameworks for designing, composing, executing and managing big services become a major need. The purpose of this paper is to provide an understanding of the new emerging big service model from the lifecycle management phases’ point of view. We also study the role of big data frameworks and multi-cloud strategies in the provisioning of big services. A research road map on this topic will be summarized at the end of this paper.

在过去几年中，云计算已成为托管、管理和提供各种虚拟化资源（例如，软件、业务流程、数据库、平台、移动和社交应用程序等）作为按需服务的自然选择. 这种跨领域的“服务化”产生了海量数据，催生了一种新的服务模式，称为大服务. 后者包括大数据的封装、抽象和处理，从而隐藏其复杂性。然而，这种有前途的方法仍然缺乏管理设施和工具。事实上，由于托管云环境的高度动态性和不确定性，大服务及其访问的数据需要持续的管理操作，以保持适度的状态和高质量的执行。在这种情况下，用于设计、组合、执行和管理大型服务的框架成为主要需求。本文的目的是从生命周期管理阶段的角度理解新兴的大服务模型。我们还研究了大数据框架和多云策略在提供大服务中的作用。