Anil Singh, Nitin Auluck, O. Rana, Andrew C. Jones, S. Nepal
{"title":"RT-SANE: Real Time Security Aware Scheduling on the Network Edge","authors":"Anil Singh, Nitin Auluck, O. Rana, Andrew C. Jones, S. Nepal","doi":"10.1145/3147213.3147216","DOIUrl":null,"url":null,"abstract":"Edge computing extends a traditional cloud data centre model often by using a micro data centre (mdc) at the network edge for computation and storage. As these edge devices are in proximity to users, this results in improved application response times and reduces load on the cloud data center (cdc). In this paper, we propose a security and deadline aware scheduling algorithm called RT-SANE (Real-Time Security Aware scheduling on the Network Edge). Applications with stringent privacy requirements are scheduled on an mdc closer to the user, whereas others can be scheduled on a cdc or a remote mdc. We also discuss how application performance and network latency influence the choice of an mdc or cdc. The intuition is that due to a lower communication latency between the user & the mdc, more applications are able to meet their deadlines when run on the mdc. Conversely, applications with loose deadlines may be executed on a cdc. In order to facilitate this, we also propose a distributed orchestration architecture and protocol that is both performance & security aware. Simulation results show that RTSANE offers superior real-time performance compared to a number of other scheduling policies in an Edge computing environment, while meeting application privacy requirements.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the10th International Conference on Utility and Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3147213.3147216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
Edge computing extends a traditional cloud data centre model often by using a micro data centre (mdc) at the network edge for computation and storage. As these edge devices are in proximity to users, this results in improved application response times and reduces load on the cloud data center (cdc). In this paper, we propose a security and deadline aware scheduling algorithm called RT-SANE (Real-Time Security Aware scheduling on the Network Edge). Applications with stringent privacy requirements are scheduled on an mdc closer to the user, whereas others can be scheduled on a cdc or a remote mdc. We also discuss how application performance and network latency influence the choice of an mdc or cdc. The intuition is that due to a lower communication latency between the user & the mdc, more applications are able to meet their deadlines when run on the mdc. Conversely, applications with loose deadlines may be executed on a cdc. In order to facilitate this, we also propose a distributed orchestration architecture and protocol that is both performance & security aware. Simulation results show that RTSANE offers superior real-time performance compared to a number of other scheduling policies in an Edge computing environment, while meeting application privacy requirements.
边缘计算通常通过在网络边缘使用微型数据中心(mdc)进行计算和存储来扩展传统的云数据中心模型。由于这些边缘设备离用户很近,因此可以缩短应用程序响应时间并减少云数据中心(cdc)的负载。本文提出了一种网络边缘实时安全感知调度算法RT-SANE (Real-Time security aware scheduling on the Network Edge)。具有严格隐私要求的应用程序被安排在离用户更近的mdc上,而其他应用程序可以安排在cdc或远程mdc上。我们还讨论了应用程序性能和网络延迟如何影响mdc或cdc的选择。直观的感觉是,由于用户和mdc之间的通信延迟较低,因此在mdc上运行时,更多的应用程序能够满足它们的最后期限。相反,具有松散截止日期的应用程序可以在cdc上执行。为了实现这一点,我们还提出了一种同时考虑性能和安全性的分布式编排体系结构和协议。仿真结果表明,与边缘计算环境中的许多其他调度策略相比,RTSANE提供了优越的实时性能,同时满足应用程序的隐私要求。