An Efficient Failure Recovery Scheme for Service Composition in Pervasive Computing

During the execution of service composition, if one component service fails, a failure recovery mechanism is needed to ensure that the running process is not interrupted and the failed service can be replaced quickly and efficiently. In this paper, we propose an efficient failure recovery scheme for rapid reconstruction of services compositions. Sufficient conditions about substitution and keeping state-consistent between services are proposed. Further, the algorithm for keeping state-consistent between services is proposed. The innovation of this paper is that the failure service will be substituted and the failure service’ state will be transformed into the substituting service’ state to improve the performance of the failure recovery scheme. And the prototype system is implemented. Simulation experiments demonstrate the good performance of the proposed failure recovery scheme

SVS-JOIN : efficient spatial visual similarity join for geo-multimedia

In the big data era, massive amount of multimedia data with geo-tags has been generated and collected by smart devices equipped with mobile communications module and position sensor module. This trend has put forward higher request on large-scale geo-multimedia retrieval. Spatial similarity join is one of the significant problems in the area of spatial database. Previous works focused on spatial textual document search problem, rather than geo-multimedia retrieval. In this paper, we investigate a novel geo-multimedia retrieval paradigm named spatial visual similarity join (SVS-JOIN for short), which aims to search similar geo-image pairs in both aspects of geo-location and visual content. Firstly, the definition of SVS-JOIN is proposed and then we present the geographical similarity and visual similarity measurement. Inspired by the approach for textual similarity join, we develop an algorithm named SVS-JOIN B by combining the PPJOIN algorithm and visual similarity. Besides, an extension of it named SVS-JOIN G is developed, which utilizes spatial grid strategy to improve the search efficiency. To further speed up the search, a novel approach called SVS-JOIN Q is carefully designed, in which a quadtree and a global inverted index are employed. Comprehensive experiments are conducted on two geo-image datasets and the results demonstrate that our solution can address the SVS-JOIN problem effectively and efficiently

Assessment of coordinated development of digital technology and cultural industries in sustainable environment: evidence from provincial level data in mainland China

This article proposes an analytical framework for evaluating digital technology and cultural industries in a sustainable environment, employing the entropy weight method and the coordinated development model to measure the level of coordinated development of digital technology and cultural industries in each province in the Chinese mainland. The results show that most provinces in mainland China are in the early stage of coordinated development, but some problems have occurred. First, there is still a big gap between the technological innovation of digital technology and the value creation of cultural industries in each province. Second, although most provinces can adopt effective coordinated development plans based on their conditions, certain provinces are still constrained by economic considerations and are in an uncoordinated development stage. Future research will be optimised and improved by concentrating on summarising a more accurate analytical framework and analysis model or locating more pertinent data resources to define and represent each indicator