An accrual failure detector in vehicular cloud computing

被引：0
|
作者：
Liu J.-X. [1 ]
Dong J. [1 ]
Zhao Y. [1 ]
Wu Z.-B. [1 ]
Wen D.-X. [1 ]
Wu J. [1 ]
机构：
[1] School of Computer Science and Technology, Harbin Institute of Technology, Harbin
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2019年 / 49卷 / 02期
关键词：
Accrual failure detector; Computer systems organization; Quality of service; Roadside unit; Vehicular cloud computing;
D O I：
10.13229/j.cnki.jdxbgxb20171071
中图分类号：
学科分类号：
摘要：
To meet the diverse requirements of failure detection in vehicular cloud computing, a new Hierarchical Accrual Failure Detector (HA-FD) based on the architecture of vehicular cloud computing was proposed. HA-FD can meet the requirements of different service qualities of multiple applications simultaneously. In HA-FD, the nodes are grouped by Roadside Unit to implement a hierarchical detection method, and the suspicion level is calculated by direct handling of the heartbeat without any distribution assumption. Experimental results show that the HA-FD decreases the detection relationship of the detection system, so as to reduce the overhead. It avoids the influence of distribution assumption on the detection accuracy. It also improves the detection time by using minimum overhead. © 2019, Jilin University Press. All right reserved.
引用
收藏
页码：578 / 583
页数：5
相关论文
共 19 条
  • [1] Whaiduzzaman M., Sookhak M., Gani A., Et al., A survey on vehicular cloud computing, Journal of Network & Computer Applications, 40, 1, pp. 325-344, (2014)
  • [2] Cao X.-L., Research based on of MCT prediction algorithms in VC, (2015)
  • [3] Mo Y.-F., Yu D.-X., Guo Y.-J., Wireless channel load prediction algorithm based on grey relation in VANETs, Journal of Jinlin University (Engineering and Technology Edition), 46, 5, pp. 1453-1457, (2016)
  • [4] Gu L., Zeng D.-Z., Guo S., Vehicular cloud computing: a survey, 2013 Globecom Workshops, pp. 403-407, (2013)
  • [5] Ahmad F., Kazim M., Adnane A., Et al., Vehicular cloud networks: architecture, applications and security issues, 8th IEEE/ACM International Conference on Utility and Cloud Computing, pp. 571-576, (2015)
  • [6] Shojafar M., Cordeschi N., Baccarelli E., Energy-efficient adaptive resource management for real-time vehicular cloud services, IEEE Transactions on Services Computing, 7, 1, pp. 1-14, (2016)
  • [7] Abrougui K., Boukerche A., Ramadan H., Performance evaluation of an efficient fault tolerant service discovery protocol for vehicular networks, Journal of Network and Computer Applications, 35, 5, pp. 1424-1435, (2012)
  • [8] Misra S., Krishna P.V., Saritha V., Et al., Learning automata-based fault-tolerant system for dynamic autonomous unmanned vehicular networks, IEEE Systems Journal, 11, 4, pp. 2929-2938, (2015)
  • [9] Abrougui K., Boukerche A., Pazzi R.W.N., An efficient fault tolerant location based service discovery protocol for vehicular networks, 2010 IEEE Conference on Global Telecommunications, pp. 1-6, (2010)
  • [10] Hayashibara N., Cherif A., Katayama T., Failure detectors for large-scale distributed systems, 21th IEEE International Symposium on Reliable Distributed Systems, pp. 404-409, (2002)
12