|
ABSTRACT
Network survivability reflects the ability of a network to continue to function during and after failures. Our purpose in this paper is to propose a quantitative approach to evaluate network survivability. We perceive the network survivability as a composite measure consisting of both network failure duration and failure impact on the network. A wireless ad-hoc network is analyzed as an example, and the excess packet loss due to failures (ELF) is taken as the survivability performance measure. To obtain ELF, we adopt a two phase approach consisting of the steady-state availability analysis and transient performance analysis. Assuming Markovian property for the system, this measure is obtained by solving a set of Markov models. By utilizing other analysis paradigms, our approach in this paper may also be applied to study the survivability performance of more complex systems.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Network reliability steering committee annual report 2000. http://www.atis.org/pub/nrsc/2000Rpt.pdf.
|
| |
2
|
U. S. Department of Commerce, National Telecommunications and Information Administration, Institute for Telecommunications Services, Federal Standard 1037C.
|
| |
3
|
T1A1.2 Working Group on Network Survivability Performance, Technical report on enhanced network survivability performance, February 2001.
|
| |
4
|
A. Avizienis. Design diversity - the challenge of the eighties. In Digest of FTCS-12, pages 44--45.
|
| |
5
|
D.-Y. Chen, Y. Hong, and K. S. Trivedi. Classification of faults, errors and failures in communication systems. In Submitted for publication.
|
| |
6
|
|
| |
7
|
|
| |
8
|
F. Cristian, H. Aghili, R. Strong, and D. Dolev. Atomic broadcast: From simple message diffusion to Byzantine agreement. In Proceedings of the 15th International Conference on Fault-Tolerant Computing, Silver Spring, Maryland, 1985. IEEE Computer Society.
|
| |
9
|
B. Ellison, D. Fisher, R. Linger, H. Lipson, T. Longstaff, and N. Mead. Survivable network systems: An emerging discipline. Technical Report CMU/SEI-97-TR-013, Software Engineering Institute, Carnegie Mellon University, November 1997.
|
| |
10
|
A. I. Elwalid and D. Mitra. Statistical multiplexing with loss priorities in rate-based congestion control of high-speed networks. IEEE Transactions on Communications, 42(11):2989--3002, November 1994.
|
| |
11
|
G. Horton, V. G. Kulkarni, D. M. Nicol, and K. S. Trivedi. Fluid stochastic Petri nets: Theory, applications, and solution techniques. European Journal of Operational Research, (105):184--201, 1998.
|
| |
12
|
|
| |
13
|
J. Knight, K. J. Sullivan, M. C. Elder, and C. Wang. Survivability architectures: Issues and approaches. In DARPA Information Survivability Conference and Exposition (DISCEX 2000), Hilton Head, SC, January 2000.
|
| |
14
|
J. C. Knight and K. J. Sullivan. On the definition of survivability. Technical Report CS-TR-33-00, University of Virginia, Department of Computer Science, 2000.
|
| |
15
|
|
| |
16
|
|
| |
17
|
D. Logothetis and K. S. Trivedi. Transient analysis of the leaky bucket rate control scheme under poisson and on-off sources. In INFOCOM'94, volume~2, pages 490--497, 1994.
|
| |
18
|
V. Marbukh and M. W. Subbarao. Framework for maximum survivability routing for a MANET. In MILCOM 2000, volume~1, pages 282--286.
|
| |
19
|
A. M. Noll. Private Networks and Public Objectives, chapter Network Security and Reliability: Emergencies in Decentralized Networks, pages 343--356. Elsevier Science, Amsterdam, The Netherlands, 1996.
|
| |
20
|
C. G. Omidyar, editor. Survivability analysis of Ad Hoc wireless network architecture, volume 1818 of Lecture Notes in Computer Science. Springer, 2000.
|
| |
21
|
B. C. Research. Reliability and quality measurements for telecommunications systems (rqms). Technical report, Bellcore, 1998.
|
| |
22
|
|
| |
23
|
D. Tipper, T. Dahlberg, H. Shin, and C. Charnsripinyo. Providing fault tolerance in wireless access networks. IEEE Communications Magazine, 40(1):58--64, 2002.
|
| |
24
|
D. Tipper, J. Hammond, S. Sharma, A. Khetan, and K. B. S. Menon. An analysis of the congestion effects of link failures in wide area networks. IEEE Journal on Selected Areas in Communications, 12(1), January 1994.
|
| |
25
|
D. Tipper, S. Ramaswamy, and T. Dahlberg. PCS network survivability. In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC'99), pages 1028--1032, New Orleans, LA, 1999.
|
| |
26
|
D. Tipper and M. Sundaresan. Numerical methods for modeling computer networks under non-stationary conditions. IEEE Journal on Selected Areas in Communications, 8(9):1682--1695, 1990.
|
| |
27
|
|
| |
28
|
M. Veeraraghavan, N. Cocker, and T. Moors. Support of voice services in IEEE 802.11 wireless LANs. In Proceedings of INFOCOM'01, 2001.
|
| |
29
|
|
| |
30
|
C.-Y. Wang, D. Logothetis, K. S. Trivedi, and I. Viniotis. Transient behavior of ATM networks under overloads. In Proceedings of the IEEE INFOCOM'96, San Francisco, March 1996.
|
| |
31
|
Y. H. Wang, W. S. Soh, M. Y. Tsai, and H. S. Kim. Survivable wireless ATM network architecture. In Ninth International Conference on Computer Communications and Networks, pages 368--373, 2000.
|
| |
32
|
A. Zolfaghari and F. J. Kaudel. Framework for network survivability performance. IEEE Journal on Selected Areas in Communications, 12(1):46--51, January 1994.
|
CITED BY 6
|
|
Dimitar Trajanov , Sonja Filiposka , Marija Efnuseva , Aksenti Grnarov, Ad hoc networks connection availability modeling, Proceedings of the 1st ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, October 04-04, 2004, Venezia, Italy
|
|
|
John Koroma , Wei Li , Demetrios Kazakos, A generalized model for network survivability, Proceedings of the 2003 conference on Diversity in computing, p.47-51, October 15-18, 2003, Atlanta, Georgia, USA
|
|
|
|
|
|
|
|
|
|
|
|
|
|