Book contents
- Frontmatter
- Contents
- Preface
- Part I Introduction
- Part II Non-State-Space (Combinatorial) Models
- Part III State-Space Models with Exponential Distributions
- Part IV State-Space Models with Non-Exponential Distributions
- Part V Multi-Level Models
- Part VI Case Studies
- 18 Modeling Real-Life Systems
- Author Index
- Subject Index
- References
18 - Modeling Real-Life Systems
from Part VI - Case Studies
Published online by Cambridge University Press: 30 August 2017
Book contents
- Frontmatter
- Contents
- Preface
- Part I Introduction
- Part II Non-State-Space (Combinatorial) Models
- Part III State-Space Models with Exponential Distributions
- Part IV State-Space Models with Non-Exponential Distributions
- Part V Multi-Level Models
- Part VI Case Studies
- 18 Modeling Real-Life Systems
- Author Index
- Subject Index
- References
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- Reliability and Availability EngineeringModeling, Analysis, and Applications, pp. 645 - 694Publisher: Cambridge University PressPrint publication year: 2017
References
[1] , “Availability analysis of Cisco GSR12000 and Juniper M20/M40,” Duke University, Tech. Rep., 2000.
[2] and , Beyond Redundancy: A Guide to Designing High-Availability Networks. Cisco, 1999.
[3] , Cisco High-Availability Initiatives and Related Design Parameters. Cisco, 2000.
[4] , , , , and , “Modeling high availability systems,” in Proc. IEEE Pacific Rim Int. Symp. on Dependable Computing (PRDC), 2006.
[5] , , , and , “Availability analysis of blade server systems,” IBM Systems Journal, vol. 47, no. 4, pp. 621–640, 2008.Google Scholar
[6] , , , , , and , “Availability modeling of SIP protocol on IBM_c WebSphere_c,” in Proc. Pacific Rim Int. Symp. on Dependable Computing (PRDC), 2008, pp. 323–330.Google Scholar
[7] Internet Engineering Task Force. [Online]. Available: www.ietf.org/
[8] and , “Fighting bugs: Remove, retry, replicate, and rejuvenate,” IEEE Computer, vol. 40, no. 2, pp. 107–109, 2007.Google Scholar
[9] , , and , “Using accelerated life tests to estimate time to software aging failure,” in Proc. IEEE 21st Int. Symp. on Software Reliability Engineering, 2010, pp. 211–219.Google Scholar
[10] , , , ., and , “Software rejuvenation scheduling using accelerated life testing,” JETC, vol. 10, no. 1, pp. 9:1–9:23, 2014.Google Scholar
[11] , , and , “Fault injection techniques and tools,” IEEE Computer, vol. 30, no. 4, pp. 75–82, Apr. 1997.Google Scholar
[12] , , , and , “Fault injection,” in Encyclopedia of Software Engineering, Nov 2010, ch. 29, pp. 287–299.
[13] , , and R. Some, “Uncertainty analysis of the remote exploration and experimentation system,” Journal of Spacecraft and Rockets, vol. 49, pp. 1032–1042, 2012.Google Scholar
[14] and , “A dependability architecture framework for remote exploration and experimentation computers,” Fast Abstract, FTCS-29, 1999.
[15] Myrinet. [Online]. Available: https://www.hpcresearch.nl/euroben/Overview/web11/ myrinet.php
[16] , “Software-implemented fault tolerance for supercomputing in space,” in Proc. 28th Int. Symp. Fault-Tolerant Computing. IEEE Computer Society, 1998.
[17] , , , , , , and , “Reliability and availability analysis for the JPL remote exploration and experimentation system,” in Proc. 2002 Int. Conf. on Dependable Systems and Networks, 2002, pp. 337–344.Google Scholar
[18] , “The methodology of n-version programming,” in Software Fault Tolerance, ed. . John Wiley & Sons, 1994, ch. 2, pp. 23–46.
[19] and , “The evolution of the recovery block concept,” in Software Fault Tolerance, ed. . John Wiley & Sons, 1994, ch. 1, pp. 1–22.
[20] , , , and , “Software rejuvenation: Analysis, module and applications,” in Proc. Int. Symp. on Fault-Tolerant Computing (FTCS), 1995, pp. 381–390.Google Scholar
[21] , “Sample size determination for estimating the parameter of an exponential distribution,” Akademie der Landwirtacheftswissenschaften der DDR Forschungszentrurn für Tierproduktion, vol. 19, pp. 521–528, 1977.Google Scholar
[22] , Probability and Statistics with Reliability, Queueing and Computer Science Applications, 2nd edn. John Wiley & Sons, 2001.
[23] and , “Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems,” Reliability Engineering and System Safety, vol. 81, no. 1, pp. 23–69, 2003.Google Scholar
[24] , , and , “A comparison of three methods for selecting values of input variables in the analysis of output from a computer code,” Technometrics, vol. 42, no. 1, pp. 55–61, Feb. 2000.Google Scholar
[25] , Multivariate Statistical Simulation. John Wiley & Sons, 1987.
[26] and , “Stochastic modeling of composite web services for closed-form analysis of their performance and reliability bottlenecks,” in Proc. 5th Int. Conf. on Service-Oriented Computing, eds. , , and . Springer, 2007, pp. 107–118.
[27] , , , and , “Semi-Markov models of composite web services for their performance, reliability and bottlenecks,” IEEE Transactions on Services Computing, vol. 6, no. 1, 2016.Google Scholar
[28] , , and , “Computing the number of calls dropped due to failures,” in Proc. 21st IEEE Int. Symp. on Software Reliability Engineering, IEEE, 2010, pp. 11–20.
[29] , , and , “System performance with user behavior graphs,” Performance Evaluation, vol. 11, no. 3, pp. 155–164, 1990.Google Scholar
[30] and , “Modeling user-perceived reliability based on user behavior graphs,” International Journal of Reliability, Quality and Safety Engineering, vol. 16, no. 4, pp. 303–329, 2009.Google Scholar
[31] , , and , Performance and Reliability Analysis of Computer Systems: An Example-based Approach Using the SHARPE Software Package. Kluwer Academic Publishers, 1996.
[32] , , , and , Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications, 2nd edn. Wiley-Interscience, Apr. 2006.
[33] , , , , and , “Defects per million computation in service-oriented environments,” IEEE Transactions on Services Computing, vol. 8, no. 1, pp. 32–46, Jan. 2015.Google Scholar
[34] , , and , “A workload-based analysis of software aging, and rejuvenation,” IEEE Transactions on Reliability, vol. 54, no. 3, pp. 541–548, 2005.Google Scholar
[35] and , “Multistage interconnection network reliability,” IEEE Transactions on Computers, vol. C-38, pp. 1600–1604, 1989.Google Scholar
[36] and , “Reliability analysis of interconnection networks using hierarchical composition,” IEEE Transactions on Reliability, vol. 38, no. 1, pp. 111–120, 1989.Google Scholar
[37] , , , , and , “Analysis of typical fault-tolerant architectures using HARP,” IEEE Transactions on Reliability, vol. R-36, no. 2, pp. 176–185, Jun. 1987.Google Scholar
[38] , , and , “Reliability analysis of a single-engine aircraft FADEC,” in Proc. Ann. Reliability and Maintainability Symp., 1998, pp. 401–407.Google Scholar
[39] and , “Reliability modeling of the MARS system: A case study in the use of different tools and techniques,” in Proc. 4th Int. Workshop on Petri Nets and Performance Models, 1991, pp. 268–277.Google Scholar
[40] and , “Reliability analysis of the double counter-rotating ring with concentrator attachments,” IEEE/ACM Transactions on Networking, vol. 2, no. 5, pp. 520–532, Oct. 1994.Google Scholar
[41] and , Reliability: Modeling, Prediction, and Optimization. John Wiley & Sons, 2000.
[42] , , , and , “Reliability analysis of systems with operation-time management,” IEEE Transactions on Reliability, vol. 51, no. 1, pp. 39–48, 2002.Google Scholar
[43] , , , , , and , “An integrated reliability modeling environment,” Reliability Engineering and System Safety, vol. 65, no. 1, pp. 65–75, 1999.Google Scholar
[44] and , “Dependability evaluation of a class of multi-loop topologies for local area networks,” IBM Journal of Research and Development, vol. 33, no. 5, pp. 511–423, 1989.Google Scholar
[45] and , “Dynamic Bayesian networks for fault detection, identification, and recovery in autonomous spacecraft,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 45, no. 1, pp. 13–24, Jan. 2015.Google Scholar
[46] , , , , and , “Aircraft operational reliability: A model-based approach and a case study,” Reliability Engineering and System Safety, vol. 120, pp. 163–176, 2013.Google Scholar
[47] , , , , and , “Performance and reliability evaluation of passive replication schemes in application level fault tolerance,” in Proc. 29th Ann. Int. Symp. on Fault-Tolerant Computing (FTCS), 1999, pp. 322–329.Google Scholar
[48] , , , , and , “Scalable analytics for IaaS cloud availability,” IEEE Transactions on Cloud Computing, vol. 2, no. 1, pp. 57–70, 2014.Google Scholar
[49] , , and , “Approximate availability analysis of VAXcluster systems,” IEEE Transactions on Reliability, vol. 38, no. 1, pp. 146–152, 1989.Google Scholar
[50] , , , and , “Stochastic Petri net modeling of VAXcluster system availability,” in Proc. 3rd Int. Workshop on Petri Nets and Performance Models, PNPM, 1989, pp. 112–121.Google Scholar
[51] , , and , “Hierarchical composition and aggregation of state-based availability and performability models,” IEEE Transactions on Reliability, vol. 52, pp. 44–52, 2003.Google Scholar
[52] , , , and , “Dependability modeling of a heterogeneous VAX-cluster system using stochastic reward nets,” in Hardware and Software Fault Tolerance in Parallel Computing Systems, ed. . Ellis Horwood, 1992, pp. 33–59.
[53] and , “Hierarchical computation of interval availability and related metrics,” in Proc. 2004 Int. Conf. on Dependable Systems and Networks, 2004, p. 693.
[54] and , “A comprehensive model for software rejuvenation,” IEEE Transactions on Dependable and Secure Computing, vol. 2, no. 2, pp. 124–137, Apr. 2005.Google Scholar
[55] , , , and , “Analysis and implementation of software rejuvenation in cluster systems,” in Proc. Joint Int. Conf. on Measurements and Modeling of Computer Systems, SIGMETRICS/Performance, 2001, pp. 62–71.Google Scholar
[56] , , , , , , , , and , “Unavailability of critical SCADA communication links interconnecting a power grid and a telco network,” Reliability Engineering and System Safety, vol. 95, pp. 1345–1357, 2010.Google Scholar
[57] , , , , , and , “A comprehensive approach to optimal software rejuvenation,” Performance Evaluation, vol. 70, no. 11, pp. 917–933, 2013.Google Scholar
[58] , , , and , Assessing Dependability and Resilience in Critical Infrastructures: Challenges and Opportunities. Springer, 2012, pp. 41–63.
[59] , , and , “Performance analysis of reservation media-access protocol with access and serving queues under bursty traffic in GPRS/EGPRS,” IEEE Transactions on Vehicular Technology, vol. 52, no. 6, pp. 1627–1641, 2003.Google Scholar
[60] , , , and , “Modeling and performance analysis of large scale IaaS clouds,” Future Generation Computer Systems, vol. 29, no. 5, pp. 1216–1234, 2013.Google Scholar
[61] , , , , and , “Stochastic model driven capacity planning for an infrastructure-as-a-service cloud,” IEEE Transactions on Services Computing, vol. 7, no. 4, pp. 667–680, 2014.Google Scholar
[62] , , , and , “Numerical computation of response time distributions using stochastic reward nets,” Annals of Operations Research, vol. 48, pp. 155–184, 1994.Google Scholar
[63] , , and , “Recent advances in modeling response-time distributions in real-time systems,” Proceedings of the IEEE, vol. 91, no. 7, pp. 1023–1037, 2003.Google Scholar
[64] , , and , “An interacting stochastic models approach for the performance evaluation of DSRC vehicular safety communication,” IEEE Transactions on Computers, vol. 62, no. 5, pp. 873–885, May 2013.Google Scholar
[65] , , , and , “Analysis of preventive maintenance in transactions based software systems,” IEEE Transactions on Computers, vol. 47, no. 1, pp. 96–107, Jan. 1998.Google Scholar
[66] , , , and , “End-to-end performability analysis for infrastructure-as-a-service cloud: An interacting stochastic models approach,” in Proc. IEEE Pacific Rim Int. Symp. on Dependable Computing (PRDC), Dec 2010, pp. 125–132.
[67] , , and , “Performability modeling based on real data: A case study,” IEEE Transactions on Computers, vol. 37, no. 4, pp. 478–484, 1988.Google Scholar
[68] , , and , “Performability modeling for RAID storage systems by Markov regenerative process,” IEEE Transactions on Dependable and Secure Computing, vol. 67, 2016.Google Scholar
[69] and , “Reduced base model construction methods for stochastic activity networks,” IEEE Journal on Selected Areas in Communications, vol. 9, no. 1, pp. 25–36, Jan. 1991.Google Scholar
[70] , , and , “Performability analysis: Measures, an algorithm and a case study,” IEEE Transactions on Computers, vol. C-37, pp. 406–417, 1988.Google Scholar
[71] , , , , , and , Dependability Evaluation of Web Service-Based Processes. Springer, 2006, pp. 166–180.
[72] , , , , and , “Modeling of reliability and performance assessment of a dissimilar redundancy actuation system with failure monitoring,” Chinese Journal of Aeronautics, vol. 29, no. 3, pp. 799–813, 2016.Google Scholar
[73] and , “Survivability quantification of communication services,” in Proc. 38th Ann. IEEE/IFIP Int. Conf. on Dependable Systems and Networks, DSN, 2008, pp. 462–471.Google Scholar
[74] , , , , , , , , and , “Assessing survivability to support power grid investment decisions,” Reliability Engineering and System Safety, vol. 155, pp. 30–43, 2016.Google Scholar
[75] , , and , “Survivability analysis of telephone access network,” in Proc. 15th Int. Symp. on Software Reliability Engineering (ISSRE), 2004, pp. 367–378.Google Scholar