Titlebook: Service Science; CCF 16th Internation Zhongjie Wang,Shangguang Wang,Hanchuan Xu Conference proceedings 2023 The Editor(s) (if applicable) a

Jaundice

书目名称Service Science影响因子(影响力)




书目名称Service Science影响因子(影响力)学科排名




书目名称Service Science网络公开度




书目名称Service Science网络公开度学科排名




书目名称Service Science被引频次




书目名称Service Science被引频次学科排名




书目名称Service Science年度引用




书目名称Service Science年度引用学科排名




书目名称Service Science读者反馈




书目名称Service Science读者反馈学科排名

Tartar

QoS Accurate Matching Algorithm Based on Service Resource Scheduling on Cloud Platform and Its Appli an accurate matching algorithm for service resource scheduling. We design and implement test cases that are the same as the actual operating environment and achieve the expected results after testing.

瘙痒

Hemoptysis

FLACK

1865-0929 n 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 servic

现任者

Conference proceedings 2023topical sections: serverless edge computing; edge services reliability; intelligent services; service application; knowledge-inspired service; service ecosystem; graph-based service optimization; AI-inspired service optimization..

HARD

1865-0929 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..978-981-99-4401-9978-981-99-4402-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

archenemy

Scheduling Workflow Instances to Servers and Serverless Functions in Cloud/Edge Data Centersrmer can be fully utilized, whereas those of the latter are hard to utilize fully. Resource requirements of workflow instances are always unbalanced because of complicated precedence constraints. It is a great challenge to rent appropriate numbers of server and serverless resources for scheduling wo

神圣不可

QoS Accurate Matching Algorithm Based on Service Resource Scheduling on Cloud Platform and Its Appli there are both mutually supportive and restrictive multiple technical parameters based on software and hardware resource consumption, and the transparent introduction of a large number of third-party service resources leads to incomplete or even missing QoS attribute values, making service performa

crutch

Environment-Aware Work Load Prediction in Edge Computingress the work load imbalance generated by user movement, most methods focus on time-series prediction. However, no one considers environment information. Based on this, a work load prediction method considering environment information is proposed. The ET-GCN model consists of a graph convolutional n