Abstract
Permanent communication with Relational Database Management Systems (RDBMS) is an important factor for every enterprise. Information of a database server must be available to the authorized users of a Network in real time. The debility of accessing the data during a communication interruption may result to the decrease of the productivity or the amplification of customer’s dissatisfaction inside an enterprise. There are five possible reasons where the users of a network cannot access the database server data:
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Communication between server and client has been lost, although both machines are in an operational state.
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Database server is in a non-operational state.
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Client workstation is in a non-operational state.
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A severe database service has been stopped due to software or hardware problems.
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Connection to port where the database server listen packets is impossible.
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References
M. Beaudry. Performance related reliability for computer. IEEE Transactions on Computers 1978; 27:540–547.
E. N. Dialynas. Reliability study for technological systems. Greece: Simeon Publishing 1998.
B.R. Iyer, L. Donatiello, P. Heidelberger. Analysis of Performability models of faulttolerant systems. IEEE Transactions on Computers 1986;35:902–907.
J.F. Meyer. On evaluating the Performability of Degradable Computing Systems. IEEE Transactions on Computers 1980;29:720–731.
J.F. Meyer. Closed Form Solutions of Performability. IEEE Transactions on Computers 1982;31; 648–657.
Nicola, M. and Jarke, M.: Increasing the Expressiveness of Analytical Performance Models for Replicated Databases. Lecture Notes in Computer Science 1999:1540; 131–149.
Nicola, M. and Jarke, M.: Performance Modeling of Distributed and Replicated Databases. IEEE Transactions on Knowledge and Database Engineering 2000: 12(4); 645–672.
A. Platis, N. Limnios and M. Le Du. Dependability analysis of systems modeled by nonhomogeneous Markov chains. Reliability Engineering & System Safety 1998:61(3); 235–249.
A. Platis, D. Kastanis and P. Tsopelas. Performability evaluation of computer networks with cyclic non-homogeneous Markov chains. Proceedings of the European Safety and Reliability Conference 2001; 1:389–396
A. Platis. An extension of the performability indicator and application in system reliability. International Journal of Computational and Numerical Analysis and Applications 2002; 1:87–101.
P. Tsopelas and A. Platis. Cost Benefit analysis on alternative investments on computer networks. Proceedings of the European Safety and Reliability Conference 2001; 1: 397–403.
P. Tsopelas and A. Platis. Performability Indicators for the traffic analysis of Wide Area Networks. Reliability Engineering & System Safety 2003; 82:1–9
Sahner, R.A., Trivedi, K.S, Puliafito, A., Performance and Reliability Analysis of Computer Systems.Kluwer Academic Publishers, 2000.
Smith, R.M., Trivedi, K.S. and Ramesh A.V.: Performability analysis: Measures, an Algorithm and a case study. IEEE Transactions on Computers 1998; 37(4):406–417.
S. Verma, R. K. Pankaj, A. Leon Garcia. QoS based multicast algorithms for real time applications. Performance Evaluation 1998; 34:273–249.
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© 2004 Springer-Verlag London
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Tsopelas, P., Violentis, J., Platis, A. (2004). Customer Oriented Dependability Analysis for Relational Database Management Systems. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_257
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DOI: https://doi.org/10.1007/978-0-85729-410-4_257
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