2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)最新文献

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Extensible Orchestration of Elastic IP Multimedia Subsystem as a Service Using Open Baton 使用开放接力棒的弹性IP多媒体子系统作为服务的可扩展编排

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-01 DOI: 10.1109/MobileCloud.2017.31

P. Bellavista, L. Foschini, Riccardo Venanzi, G. Carella

{"title":"Extensible Orchestration of Elastic IP Multimedia Subsystem as a Service Using Open Baton","authors":"P. Bellavista, L. Foschini, Riccardo Venanzi, G. Carella","doi":"10.1109/MobileCloud.2017.31","DOIUrl":"https://doi.org/10.1109/MobileCloud.2017.31","url":null,"abstract":"Many recent projects and research activities in the telco sector are adopting the Cloud Computer paradigm consolidating their infrastructures towards converged and all-IP next generation networks providing typical telco services within LTE (and soon 5G) and also fixed network environments, e.g., often still adopting IP Multimedia Subsystem (IMS) architecture solutions. In this perspective, cloud computing can significantly lower investment risks by implementing telco services with Virtual Network Functions (VNFs) on top of a Network Functions Virtualization (NFV) Infrastructure. Within this general context, this paper presents the implementation and integration work accomplished within the large EU FP7 Mobile Cloud Networking project (MCN, 2013-2016) to achieve cost-effective elasticity of IMS-based multimedia applications. The paper shows how it has been designed and implemented an elastic IMS-compliant solution by exploiting the widespread Asterisk server as media gateway. Quality monitoring and scale in/out triggering are obtained through the interaction between the MCN Monitoring as a Service (MaaS) and OpenBaton, i.e., a novel open-source NFV Orchestrator (NFVO) integrated in MCN and fully compliant with the ETSI NFV Management and Orchestration (MANO) specifications. The collected performance results of the proposed solution, demonstrates the fully feasibility of the approach adopted and explained in this paper.","PeriodicalId":106143,"journal":{"name":"2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128555415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Cowbird: A Flexible Cloud-Based Framework for Combining Smartphone Sensors and IoT Cowbird:结合智能手机传感器和物联网的灵活云框架

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-01 DOI: 10.1109/MobileCloud.2017.14

R. Das, N. V. Bozdog, H. Bal

引用次数: 15

Cloudlet-Assisted Heuristic Offloading for Mobile Interactive Applications 移动交互应用的cloudlet辅助启发式卸载

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-01 DOI: 10.1109/MobileCloud.2017.11

G. Shu, Xiaojie Zheng, Hua Xu, Jing Li

{"title":"Cloudlet-Assisted Heuristic Offloading for Mobile Interactive Applications","authors":"G. Shu, Xiaojie Zheng, Hua Xu, Jing Li","doi":"10.1109/MobileCloud.2017.11","DOIUrl":"https://doi.org/10.1109/MobileCloud.2017.11","url":null,"abstract":"Offloading the computation-intensive task of mobileinteractive applications into cloudlets has become a popularway to reduce the response time in mobile cloud computingarea. In response to the rapid change of mobile environment, researchers have proposed online offloading decisions for variousapplications. However, the pruning method they used wouldperform poorly for the non-linear topology of applications. Inthis paper, we propose a heuristic to search out the near-optimaloffloading scheme for the non-linear topology under the real-timeconstraint. In order to reduce the searching space, wefirst leverage Partial Stochastic Path (PSP) analysis to randomlydivide the topological graph into a set of linear paths. Thenfor each linear path, One-climb Policy is applied to obtainthe optimal offloading decision as there is at most one-timeoffloading to the cloudlet if ever. In addition, among the multiplerandom divisions, the one with the most superior performance isselected as the final division. Lastly, we can get the approximateoptimal solution with the minimum completion time in real-time. Simulation results illustrate that our heuristic exhibits anexcellent performance for non-linear topology and outperformsthe state-of-the-art approaches.","PeriodicalId":106143,"journal":{"name":"2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127427508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

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