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- W2783292904 abstract "A discrete event simulator, CLOURAM: CLOUD Risk Assessor and Manager, algorithmically estimates the risk indices in modern‐day CLOUD computing scenarios with tangible risk management targets that are favorable to the intractably tedious, theoretical Markov solutions or hand calculations overly limited in scope. The goal is to improve the operational quality of CLOUD by optimizing the number of servers for capacity addition and optimizing the final repair crew count. We too optimize the server unit repair rates, and the consumer load cycle by curbing the demand using Linear Programming (LP) ‐ based optimization with the proper objective functions and constraints. Small and large CLOUD systems are simulated with cost and benefit comparisons. The 2‐state (UP and DN) or 3‐State (UP, DN, and DER) units statistically fail and recover with Negative Exponential or Weibull densities. WIREs Comput Stat 2018, 10:e1424. doi: 10.1002/wics.1424 This article is categorized under: Statistical and Graphical Methods of Data Analysis > Reliability, Survivability, and Quality Control Algorithms and Computational Methods > Networks and Security Statistical Models > Simulation Models Algorithms and Computational Methods > Linear Programming" @default.
- W2783292904 created "2018-01-26" @default.
- W2783292904 creator A5019897542 @default.
- W2783292904 date "2018-01-10" @default.
- W2783292904 modified "2023-10-17" @default.
- W2783292904 title "CLOUD computing risk management for server-farm repair rates, consumer load cycle, server-farm repair crew count, and additional servers" @default.
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- W2783292904 doi "https://doi.org/10.1002/wics.1424" @default.
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