DocumentCode :
3444667
Title :
A Study on Random Autonomous Algorithm for Service Survivability Scheduling
Author :
Lei Zhang ; Sood, Arun ; Hao Dai ; Mingkai Ma
Author_Institution :
Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
6
Abstract :
We present in this paper a scheduling algorithm towards the service migration uncertainty that aims to enhance the service survivability in the server cluster system. Survivable scheduling algorithm is one of the important aspects of survivability study. This paper introduced the stochastic mechanism in the server cluster systems, which made it uncertain of the services migration among the servers, so as to increase the difficulty for the intruders penetrating the systems, and enhanced the system survivability. In this work, we introduced the layers of survivability study, illustrated the function of the survivable scheduling algorithm; then, analyzed the advantages and disadvantages of the exist scheduling algorithms; promoted a pseudo-random autonomous algorithm for service survivability scheduling, including generating the scheduling sequence and the Markov-based autonomous competition mechanism, the performance of the algorithm is investigated at last.
Keywords :
scheduling; software reliability; workstation clusters; random autonomous algorithm; scheduling; server cluster system; service migration; service survivability; Algorithm design and analysis; Centralized control; Clustering algorithms; Computer networks; Electronic equipment; Network servers; Redundancy; Scheduling algorithm; Systems engineering and theory; TCPIP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.1090
Filename :
4678998
Link To Document :
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