Titlebook: Web Information Systems Engineering – WISE 2018; 19th International C Hakim Hacid,Wojciech Cellary,Rui Zhou Conference proceedings 2018 Spr

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Knowledge-Driven Automated Web Service Composition—An EDA-Based Approachcombines web services to accommodate users’ complex requirements. These requirements often cover functional parts (i.e., semantic matchmaking of services’ inputs and outputs) and non-functional parts (i.e., Quality of Service). Service composition is an NP-hard problem. Evolutionary Computation (EC)

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LIFE-MP: Online Virtual Machine Consolidation with Multiple Resource Usages in Cloud Environmentsdata centers. However, most of the existing approaches have several limitations during VM consolidation, including a limited number of computing resources, a higher number of VM migrations, service-level agreement (SLA) violations, and performance degradation. This paper proposes the Multiple Resour

Intersect

教育學

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LIFE-MP: Online Virtual Machine Consolidation with Multiple Resource Usages in Cloud Environmentsdata centers. However, most of the existing approaches have several limitations during VM consolidation, including a limited number of computing resources, a higher number of VM migrations, service-level agreement (SLA) violations, and performance degradation. This paper proposes the Multiple Resour

難理解

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Stance and Credibility Based Trust in Social-Sensor Cloud Servicesa and related posted information, as social-sensor cloud services. We use the textual features of the social-sensor cloud services, i.e., comments, and meta-data, e.g., spatio-temporal information, to gather the trust-rate of the services and the credibility of users’ comments. The analytical result

Neolithic

CHIP

StrDip: A Fast Data Stream Clustering Algorithm Using the Dip Test of Unimodality to the storage of data. A number of algorithms have been proposed for data stream clustering, such as CluStream, DenStream, DStream and StrAP. With the Big Data era’s coming, the amount of data in one timestamp is growing at a great speed, so the time efficiency of data stream clustering algorithms

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Classification and Annotation of Open Internet of Things Datastreamsights across multiple domains: Smart Cities, environmental monitoring, healthcare etc. In particular, the availability of open IoT data streaming from heterogeneous sources constitute a novel powerful knowledge base. However, due to the inherent distributed, heterogeneous and open nature of such dat