- We will send in 10–14 business days.
/images/books/10403737/9781495299117.jpg)
- Author: U S Department of Commerce
- Publisher: CreateSpace Independent Publishing Platform
- Year: 2014
- Pages: 52
- ISBN-10: 1495299112
- ISBN-13: 9781495299117
- Format: 21.6 x 27.9 x 0.3 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Markov Chain Analysis for Large-Scale Grid Systems (e-book) (used book) | bookbook.eu
Reviews
Description
In large-scale grid systems with decentralized control, the interactions of many service providers and consumers will likely lead to emergent global system behaviors that result in unpredictable, often detrimental, outcomes. This possibility argues for developing analytical tools to allow understanding, and prediction, of complex system behavior in order to ensure availability and reliability of grid computing services. This paper presents an approach for using piece-wise homogeneous Discrete Time Markov chains to provide rapid, potentially scalable, simulation of large-scale grid systems. This approach, previously used in other domains, is used here to model dynamics of largescale grid systems.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 20d.08:16:11
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: U S Department of Commerce
- Publisher: CreateSpace Independent Publishing Platform
- Year: 2014
- Pages: 52
- ISBN-10: 1495299112
- ISBN-13: 9781495299117
- Format: 21.6 x 27.9 x 0.3 cm, softcover
- Language: English English
In large-scale grid systems with decentralized control, the interactions of many service providers and consumers will likely lead to emergent global system behaviors that result in unpredictable, often detrimental, outcomes. This possibility argues for developing analytical tools to allow understanding, and prediction, of complex system behavior in order to ensure availability and reliability of grid computing services. This paper presents an approach for using piece-wise homogeneous Discrete Time Markov chains to provide rapid, potentially scalable, simulation of large-scale grid systems. This approach, previously used in other domains, is used here to model dynamics of largescale grid systems.
Reviews