文献类型：期刊文献

英文题名：Security-Aware and Time-Guaranteed Service Placement in Edge Clouds

作者：Sun, Huaiying[1];Yu, Huiqun[2];Fan, Guisheng[2];Chen, Liqiong[1];Liu, Zheng[2]

机构：[1]Shanghai Inst Technol, Dept Comp Sci & Informat Engn, Shanghai 201418, Peoples R China;[2]East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China

年份：2023

卷号：20

期号：1

起止页码：711

外文期刊名：IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT

收录：;EI(收录号：20224212975538);WOS:【SCI-EXPANDED(收录号:WOS:000947416400048)】；

基金：This work was supported in part by the Shanghai Rising-Star Program (Sailing Program), China, Grant No. 22YF1448100; the Scientific Research Starting Foundation of Shanghai Institute of Technology, China, Grant No. YJ2021-53; the Capacity Building Project of Local Universities Science and Technology Commission of Shanghai Municipality No.22010504100; the Development Fund for Young and Middle-aged Scientific and Technological Talents of Shanghai Institute of Technology under Grants No. ZQ2021-19; the Development of Science and Technology of Shanghai Institute of Technology under Grants No.Kjfz2021-176, Kjfz2021-177.

语种：英文

外文关键词：Task analysis; Security; Servers; Edge computing; Computational modeling; Cloud computing; Internet of Things; Edge-cloud; time; security; task scheduling; service placement

摘要：Most of the emerging applications such as the Deep Neural Networks (DNN) based smart Internet of Things (IoT) systems need intensive and high-performance computing, which is contradictory to the limited resources of IoT/terminal devices. It is a big challenge to offload all tasks to the cloud due to the bandwidth limitation, processing overhead, and transmission costs. Edge computing as an extension of cloud computing that can provide abundant computing resources near the edge of the network and thereby can potentially improve the QoS of applications. However, offloading tasks to the edge servers is liable to external security threats. How to balance the response time and the security of application services is a big challenge for realizing good application service placement. This paper proposes a time and security efficient task scheduling framework in the edge-cloud environment. The corresponding computing models are established, such as the security-related model, time model, and the risk probability model. Then, a time-guaranteed and security-aware task scheduling algorithm is proposed including the domain construction, the security-aware task ranking, and the task dispatching. Extensive simulation experiments have been conducted. Results show that the proposed method has better performance than the other four compared methods in general.