capsaicin 发表于 2025-3-25 06:50:10
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)collagen 发表于 2025-3-25 08:24:14
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 ResourIntersect 发表于 2025-3-25 12:51:42
http://reply.papertrans.cn/103/10216/1021532/1021532_23.png教育学 发表于 2025-3-25 18:00:51
http://reply.papertrans.cn/103/10216/1021532/1021532_24.pngtroponins 发表于 2025-3-25 22:14:12
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难理解 发表于 2025-3-26 01:31:29
http://reply.papertrans.cn/103/10216/1021532/1021532_26.pngCholecystokinin 发表于 2025-3-26 05:08:26
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 resultNeolithic 发表于 2025-3-26 09:19:11
http://reply.papertrans.cn/103/10216/1021532/1021532_28.pngCHIP 发表于 2025-3-26 15:32:52
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控制 发表于 2025-3-26 17:31:20
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