See also: http://icloud.shu.edu.cn/disa/
Service-oriented architecture (SOA) is a widely accepted and engaged paradigm for the realization of business processes that incorporate several distributed, loosely coupled partners. Today, Web services and the Business Process Execution Language for Web Services (BPEL4WS, BPEL for short) are the established technologies to implement such a service-oriented architecture. The functionality provided by business applications is enclosed within Web service software components. Those Web services can be invoked by application programs or by other Web services via Internet without explicitly binding them. On top of that, BPEL has been established as the de-facto standard for implementing business processes based on Web services.
Aside from business processes, the service-oriented approach using Web services and BPEL is also of great interest for the implementation of data-intensive processes such as, for example, those found in the area of data analytics. Over the recent years, data generated by humanities, scientific activities, as well as commercial applications from a diverse range of fields have been increasing exponentially. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. There is no doubt in the industry and research community that the importance of data intensive computing has been raising and will continue to be the foremost fields of research. As a result, the data intensive services based applications have become the most kind of application in SOA. Also, it has become a hot issue in the academia and industry. Potentially, this could have a significant impact on the on-going researches for services and data intensive computing.
Generally, we define the notion of a data-intensive services based application as a collection of related structured activities or tasks (services) that produce a specific result; huge data sets have to be exchanged between several loosely coupled services in such a data-intensive application. In this case, many new challenges are proposed, for example, the exchange of massive data. Although the preferred XML-based SOAP protocol can meet the communication between Web services, it is not efficient enough in those scenario settings. DISA focuses on the challenges imposed by data-intensive services based applications, and on the different state-of-the-art solutions proposed to overcome these challenges. The aim of DISA is to encourage academic researchers and industry practitioners to present and discuss all methods and technologies related to research and experiences in a broad spectrum of data-intensive services based applications.
The topics of the workshop include but not limited to:
(1) Data intensive services representation
Papers accepted by SEKE2018 must be presented at the conference by one of the authors. This is a pre-condition for your paper to be further considered for publication in a special issue in IJSEKE on DISA. The revised version must have about 40% additional content compared to the conference paper.
Papers will be evaluated on their merits, contribution to the service/cloud computing field, suitability to the special issue, and overall quality. All papers will be rigorously referred by IJSEKE reviewers. Submission of a manuscript to this special issue implies that no similar paper is already accepted or will be submitted to any other conference or journal. Paper preparation guidelines can be found in the website of International Journal of Software Engineering and Knowledge Engineering.