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External Service Sensing (ESS): Research Framework, Challenges and Opportunities
arXiv - CS - Computers and Society Pub Date : 2021-06-17 , DOI: arxiv-2106.09208
Zhongjie Wang, Mingyi Liu, Zhiying Tu, Xiaofei Xu

The flourish of web-based services gave birth to the research area \textit{services computing}, a rapidly-expanding academic community since nearly 20 years ago. Consensus has been reached on a set of representative research problems in services computing, such as service selection, service composition, service recommendation, and service quality prediction. An obvious fact is that most services keep constant changes to timely adapt to changes of external business/technical environment and changes of internal development strategies. However, traditional services computing research does not consider such changes sufficiently. Many works regard services as \textit{static} entities; this leads to the situation that some proposed models/algorithms do not work in real world. Sensing various types of service changes is of great significance to the practicability and rationality of services computing research. In this paper, a new research problem \textit{External Service Sensing} (ESS) is defined to cope with various changes in services, and a research framework of ESS is presented to elaborate the scope and boundary of ESS. This framework is composed of four orthogonal dimensions: sensing objects, sensing contents, sensing channels, and sensing techniques. Each concrete ESS problem is defined by combining different values in these dimensions, and existing research work related to service changes can be well adapted to this framework. Real-world case studies demonstrate the soundness of ESS and its framework. Finally, some challenges and opportunities in ESS research are listed for researchers in the services computing community. To the best of our knowledge, this is the first time to systematically define service change-related research as a standard services computing problem, and thus broadening the research scope of services computing.

中文翻译:

外部服务感知 (ESS):研究框架、挑战和机遇

基于 Web 的服务的蓬勃发展催生了研究领域 \textit{services computing},这是一个自近 20 年前迅速扩展的学术社区。在服务选择、服务组合、服务推荐、服务质量预测等一组具有代表性的服务计算研究问题上已经达成共识。一个显而易见的事实是,大多数服务都在不断变化,以及时适应外部业务/技术环境的变化和内部发展战略的变化。然而,传统的服务计算研究并没有充分考虑这种变化。许多作品将服务视为 \textit{static} 实体;这导致某些提议的模型/算法在现实世界中不起作用的情况。感知各类服务变化对服务计算研究的实用性和合理性具有重要意义。本文定义了一个新的研究问题 \textit{External Service Sensing} (ESS) 来应对服务的各种变化,并提出 ESS 的研究框架来阐述 ESS 的范围和边界。该框架由四个正交维度组成:感知对象、感知内容、感知通道和感知技术。每个具体的 ESS 问题都是通过组合这些维度中的不同值来定义的,现有的与服务变化相关的研究工作可以很好地适应这个框架。现实世界的案例研究证明了 ESS 及其框架的合理性。最后,为服务计算社区的研究人员列出了 ESS 研究中的一些挑战和机遇。据我们所知,这是第一次将服务变更相关研究系统地定义为一个标准的服务计算问题,从而拓宽了服务计算的研究范围。
更新日期:2021-06-18
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