Multi-DAGs Scheduling Integrating with Security and Availability in Cloud Environment

作     者：LIU Yaqiu SHAO Hongrun JING Weipeng QIU Zhaowen 

作者机构：The College of Information and Computer Engineering Northeast Forestry University Heilongjiang Province Engineering Technology Research Centre for Forestry Ecological Big Data Storage and High Performance (Cloud) Computing 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2015年第24卷第4期

页      面：709-716页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 0839[工学-网络空间安全] 070104[理学-应用数学] 0701[理学-数学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(No.31370565) Doctoral Fund of the China Ministry of Education(No.20120062110012) Technological innovation talent research project in Harbin(No.2014RFQXJ132) 

主　　题：Multi-DAGs scheduling Security Availability Resource utilization 

摘      要：In view of the issue concerns multiple Directed acyclic graphs(DAGs) scheduling in multi-tenant cloud computing environment, a scheduling strategy that integrate security and availability is proposed to satisfy the tenants’ requirements for resource security and availability, as thus it can not only protect the users’ privacy and data security but also advance the success rate. The proposal assesses resource reputation to ensure jobs can be scheduled onto relatively security nodes; during task scheduling, it classifies the DAGs to achieve fairness; in the process of resources allocation, the objective function would maximize the user’s security satisfaction and minimize the deviation of availability; meanwhile, it takes advantage of time chips flexibly to promote resource utilization rate; afterwards, we present a Greedy algorithm integrating with security and availability(GISA) to implement the strategy. The experimental results show the correctness and superior of the novel strategy.