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Distributed Computer System Capacity Planning and Capacity Loading
Author(s) -
Chakravarty Amiya,
Jain Hemant K.
Publication year - 1990
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1990.tb01684.x
Subject(s) - computer science , capacity planning , hierarchy , capacity management , power (physics) , distributed computing , operations research , mathematical optimization , engineering , computer network , economics , operating system , physics , mathematics , quantum mechanics , market economy
The availability of micro‐, mini‐, and super computers has complicated the laws governing the economies of scale in computers and has increased the tendency to decentralize and distribute computing power. The optimal design of such a system requires integration of computers of varying power and a strategy for capacity loading. This paper considers the problem of capacity planning and capacity loading of a distributed computer system as a hierarchy of decisions. A linear programming model is developed for the initial capacity planning problem. A loading model that accounts for variations in arrival and processing rates of the jobs in a dynamic environment is developed to support the operations.