Markov model of availability for clustered systems

Details Markov model of availability for clustered systems Markov model of availability for clustered systems

2006-04-04

2006-04-04

Le, Dieu-Minh (Department: 2114)

Error detection/correction and fault detection/recovery

Data processing system error or fault handling

Reliability and availability

C714S004110

Reexamination Certificate

active

07024580

ABSTRACT:
Availability of a clustered system is determined by identifying all possible states of a cluster, mapping the connections between the states are mapped and determining the probability of the cluster being in each of the states is determined. Availability of the cluster is the sum of the probabilities of being in those states in which the cluster is at least partially available. Parameters affecting the availability of the cluster include the rates at which a cluster transitions from state to state, including the reciprocal of Mean Time To Fail, Mean Time to Fail-Over, Mean Time To Fail-Back and Mean Time To Restore. Availability of statefull and stateless clusters may be determined. Availability of clusters including any number of nodes (e.g., a Internet service) can be determined. In one embodiment of the invention, a target availability is determined and parameters are varied to determine the most efficient approach to reach the target availability.

REFERENCES:
patent: 6334196 (2001-12-01), Smorodinsky et al.
patent: 6496948 (2002-12-01), Smorodinsky
patent: 6763321 (2004-07-01), Gross et al.
patent: 2002/0077800 (2002-06-01), Kampe
patent: 2003/0079154 (2003-04-01), Park et al.
patent: 2003/0172150 (2003-09-01), Kennedy
Cankaya, H.C., et al., “Improved survivability analysis for SONET SHRs,”Computer Networks, 1999, 31, 2505-2528.
Lai, C.D., et al., “A model for availabilty analysis of distributed software/hardware systems,”Information and Software Technology, 2002, 44, 343-350.
Rajgopal, J., et al., “Modular Operational Test Plans for Inferences on Software Reliability Based on a Markov Model,”IEEE Transactions on Software Engineering, Apr. 2002, 28(4), 358-363.
Suliman, M., et al., “Markov Availability Models on Neural Networks,”Microelectronics and Reliability, May 1992, 32 (5) 687-697.
Malhotra, M., “An Efficient Stiffness-Insensitive Method for Transient Analysis of Markov Availability Models,”IEEE Transactions on Reliability, Sep. 1996, 45 (3), 426-428.

Affiliated with

Also associated with

Rating

Markov model of availability for clustered systems does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Markov model of availability for clustered systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Markov model of availability for clustered systems will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3558809