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Titlebook: Advances in Services Computing; 10th Asia-Pacific Se Guojun Wang,Yanbo Han,Gregorio Martínez Pérez Conference proceedings 2016 Springer Int

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發(fā)表于 2025-3-21 18:46:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Services Computing
期刊簡(jiǎn)稱10th Asia-Pacific Se
影響因子2023Guojun Wang,Yanbo Han,Gregorio Martínez Pérez
視頻videohttp://file.papertrans.cn/150/149677/149677.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Services Computing; 10th Asia-Pacific Se Guojun Wang,Yanbo Han,Gregorio Martínez Pérez Conference proceedings 2016 Springer Int
影響因子.This book constitutes the refereed proceedings of the 10th Asia-Pacific Services Computing Conference, APSCC 2016, held in Zhangjiajie, China, in November 2016..The 38 revised full papers presented in this book were carefully reviewed and selected from 107 submissions. The papers cover a wide range of topics in the fields of cloud/utility/Web computing/big data; foundations of services computing; social/peer-to-peer/mobile/ubiquitous/pervasive computing; service-centric computing models; integration of telecommunication SOA and Web services; business process integration and management; and security in services..
Pindex Conference proceedings 2016
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Multi-relation Based Manifold Ranking Algorithm for API Recommendation,tive Mashup applications. However, it is challenging to discover the appropriate ones from enormous APIs for Mashup developers (i.e., API users). In order to recommend a set of APIs that most satisfy the users’ requirements, we propose a multi-relation based manifold ranking approach. The approach e
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A Novel Multi-granularity Service Composition Model,emands of service composition also show the characteristics of individuation and diversification at the same time. The traditional methods of service composition are difficult to meet the multiple granularity demands of users. This paper proposes a novel multiple granular service composition model b
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An Event Grouping Approach for Infinite Stream with Differential Privacy,. The current state-of-the-art paradigm for privacy preserving with differential privacy on data stream is .-event privacy. But it neglects if only a few part of the elements of dataset change over time and others are substantially stabilize, then processing all the user data in specified timestamps
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Efficient Data Collection in Sensor-Cloud System with Multiple Mobile Sinks,lity of WSNs, how to upload the sensed data to the Cloud within the limited time becomes a bottleneck of sensor-cloud system. To solve this problem, we propose to use multiple mobile sinks to help with data uploading from WSNs to Cloud. An efficient algorithm is designed to schedule the multiple mob
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