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001472183 001__ 1472183
001472183 003__ OCoLC
001472183 005__ 20230908003359.0
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001472183 008__ 230731s2023\\\\si\a\\\\o\\\\\101\0\eng\d
001472183 019__ $$a1391442997
001472183 020__ $$a9789819944026$$q(electronic bk.)
001472183 020__ $$a9819944023$$q(electronic bk.)
001472183 020__ $$z9789819944019
001472183 020__ $$z9819944015
001472183 0247_ $$a10.1007/978-981-99-4402-6$$2doi
001472183 035__ $$aSP(OCoLC)1391544875
001472183 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ
001472183 049__ $$aISEA
001472183 050_4 $$aHD9980.5
001472183 08204 $$a338.4$$223/eng/20230731
001472183 1112_ $$aInternational Conference on Service Science$$n(16th :$$d2023 :$$cHarbin, China)
001472183 24510 $$aService science :$$b16th International Conference, ICSS 2023, Harbin, China, May 13-14, 2023, revised selected papers /$$cZhongjie Wang, Shangguang Wang, Hanchuan Xu, editors.
001472183 24630 $$aICSS 2023
001472183 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001472183 264_4 $$c©2023
001472183 300__ $$a1 online resource (xvi, 522 pages) :$$billustrations (chiefly color).
001472183 336__ $$atext$$btxt$$2rdacontent
001472183 337__ $$acomputer$$bc$$2rdamedia
001472183 338__ $$aonline resource$$bcr$$2rdacarrier
001472183 4901_ $$aCommunications in computer and information science ;$$v1844
001472183 500__ $$aInternational conference proceedings.
001472183 500__ $$aIncludes author index.
001472183 5050_ $$aIntro -- Preface -- Organization -- Contents -- Serverless Edge Computing -- Scheduling Workflow Instances to Servers and Serverless Functions in Cloud/Edge Data Centers -- 1 Introduction -- 2 Related Works -- 3 Problem Formulation -- 4 Proposed Algorithm -- 4.1 The Properties of the Considered Problem -- 4.2 Schedule Improvement in a Serverless Configuration -- 4.3 Schedule Improvement in a Server Configuration -- 5 Experimental Results -- 5.1 Experimental Settings -- 5.2 Comparison and Analysis of Algorithms -- 6 Conclusions -- References
001472183 5058_ $$aQoS Accurate Matching Algorithm Based on Service Resource Scheduling on Cloud Platform and Its Application -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Problem Description -- 3.2 Dynamic Evaluation Model -- 3.3 QoS Accurate Matching Algorithm Baesed on Service Resource Scheduling -- 4 Cases and Analysis -- 5 Conclusion -- References -- Environment-Aware Work Load Prediction in Edge Computing -- 1 Introduction -- 2 Related Work -- 3 Problem Description -- 4 Proposed Approach -- 4.1 Environment-Aware Temporal Graph Convolutional Networks -- 5 Experiments -- 5.1 Experimental Results
001472183 5058_ $$a6 Conclusion -- References -- Hybrid Task Offloading for Serverless Computing in the Multi-edge-to-Cloud Environment -- 1 Introduction -- 2 Related Works -- 3 System Model -- 4 Hybrid Offloading Algorithm -- 4.1 Task Sorting -- 4.2 Offloading Decision -- 4.3 Function Replacement -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Experimental Results and Evaluations -- 6 Conclusion -- References -- Improving IoT Services Through Business-Process-Aligned Modeling Method -- 1 Introduction -- 2 Related Work -- 2.1 IoT Service Modeling Methods
001472183 5058_ $$a2.2 Business-Process-Aligned Modeling Methods for IoT Services -- 3 IoT Service Modeling -- 3.1 IoT Service Architecture Model -- 3.2 IoT Service Model -- 4 Binding IoT Service to Business Process -- 5 Experiments -- 5.1 Experimental Environment -- 5.2 Experimental Results -- 6 Conclusion -- References -- Edge Services Reliability -- Research on Cascading Failure of Complex Networks Based on Edge Weight and Capacity Allocation Strategy -- 1 Introduction -- 2 Cascading Failure Model for Complex Networks -- 2.1 Edge-Based Cascading Failure Model
001472183 5058_ $$a2.2 Dynamic Evolution Process of Cascading Failures in Complex Networks -- 3 Research on the Invulnerability of Complex Networks Against Cascading Failures -- 3.1 Improved Edge Surplus Capacity Optimization Strategy -- 3.2 Metrics -- 3.3 Numerical Simulation -- 4 Conclusion -- References -- IoT Service Runtime Fault Tolerance Mechanism Based on Flink Dynamic Checkpoint -- 1 Introduction -- 2 Related Work -- 3 On-Demand Dynamic Checkpoint Fault Tolerance -- 3.1 System Efficiency Model -- 3.2 On-Demand Dynamic Checkpoint Algorithm -- 4 Experiment
001472183 506__ $$aAccess limited to authorized users.
001472183 520__ $$aThis book constitutes selected papers presented at the 16th International Conference on Service Science, ICSS 2023, held in Harbin, China, in May 2023. The 36 full papers and 2 short papers presented were thoroughly reviewed and selected from the 71 submissions. They are organized in the following topical sections: serverless edge computing; edge services reliability; intelligent services; service application; knowledge-inspired service; service ecosystem; graph-based service optimization; AI-inspired service optimization.
001472183 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 31, 2023).
001472183 650_0 $$aService industries$$xInformation technology$$vCongresses.
001472183 650_0 $$aService industries$$xManagement$$vCongresses.
001472183 650_0 $$aOperations research$$vCongresses.
001472183 650_0 $$aComputer networks$$xManagement$$vCongresses.
001472183 650_0 $$aWeb services$$vCongresses.
001472183 655_7 $$aConference papers and proceedings.$$2lcgft
001472183 655_0 $$aElectronic books.
001472183 7001_ $$aWang, Zhongjie,$$eeditor.
001472183 7001_ $$aWang, Shangguang,$$eeditor.
001472183 7001_ $$aXu, Hanchuan,$$eeditor.
001472183 77608 $$iPrint version: $$z9819944015$$z9789819944019$$w(OCoLC)1381442724
001472183 830_0 $$aCommunications in computer and information science ;$$v1844.
001472183 852__ $$bebk
001472183 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-4402-6$$zOnline Access$$91397441.1
001472183 909CO $$ooai:library.usi.edu:1472183$$pGLOBAL_SET
001472183 980__ $$aBIB
001472183 980__ $$aEBOOK
001472183 982__ $$aEbook
001472183 983__ $$aOnline
001472183 994__ $$a92$$bISE