为了对大规模的数据访问和海量海洋信息的处理提供可靠实时的云计算服务, 结合工作流与软件即服务(software-as-a-service, SaaS)的思想, 提出软件服务流的概念, 并构建基于云平台的软件服务流体系结构的系统. 服务流引擎在整个系统中处于底层, 与Hadoop平台进行交互, 运行自行设计的服务流解析与重组算法处理用户请求, 并交付下层执行, 且为上层提供资源表述性转移(representational state transfer, REST)架构风格的服务流监控和资源管理的透明接口, 降低了开发的复杂性, 提高系统的可伸缩性. 用户能够通过Web端访问, 定制个性化软件服务, 并且能实时监控云平台. 在该平台上, 大规模数据访问、高并发以及高密度的访问也是一种常态. 通过构建初步的原型系统, 证明平台体系结构的可用性和高效性.
To provide reliable real-time cloud computing services for large-scale data access and massive marine information processing and by combining the idea of workflow and software-as-a-service (SaaS), a concept of software service flow and build a software service flow architectures system based on a cloud platform is proposed. In this system, a service flow engine is an underlying layer, which interacts with the Hadoop platform. When processing user requests, the engine runs a self-design algorithm which analyses and combines service flow, and is delivered to the underlying layers for execution. Moreover, for the sake of control service flow and manager resource, it also providers many transparent interfaces to the upper layers with representational state transfer (REST) style, thus reducing complexity of development and improving scalability of the system. Users can access the Web page, customize software services, and monitor the cloud platform on real-time. On this platform, large-scale data access, high concurrency, and high-density access are a normal status. By building an initial prototype system, the availability and efficiency of the SaaS-flow system structure is proved.
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