Maximum computing power and cost factors in the centralization problem

Oldehoeft, Arthur E.; Halstead, M. H.

doi:10.1145/361254.361261

Cited by 8 publications

(2 citation statements)

References 2 publications

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“…There has been a preference for consolidation until problems of geographic dispersal and increasing size of operations forced decentralization. The advantages of centralized location (mainly hardware deployment) seemed especially compelling, given Grosch's law, that computing power could be obtained at a function equal to the square of the cost of the computer [Cale et al 1979;Grosch 1953Grosch , 1975Grosch , 1979Littrel 1974;Oldehoeft and Halstead 1972;Selwyn 1970;Sharpe 1969;Solomon 1966Solomon , 1970b. This law, borne out in subsequent tests, offered a powerful incentive to centralize facilities in a single location, which frequently resulted in centralized computing control and functions as well.…”

Section: The Traditional Debatementioning

confidence: 99%

Centralized versus decentralized computing: organizational considerations and management options

1983

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The long.standing debate over whether to centralize or decentralize computing is examined in terms of the fundamental organizational and economic factors at stake. The traditional debate is evaluated, and found to focus predominantly on issues of efficiency versus effectiveness, with solutions based on a rationalistic strategy of optimizing in this trade-off. A behavioral assessment suggests that the driving issues in the debate are the politics of organization and resources, centering on the issue of control. The economics of computing depolyment decisions are presented as an important issue, but one that often serves as a field of argument in which political concerns are dealt with. The debate in this light appears to be unresolvable in the long run, although effective strategies can be developed when the larger issues are recognized. The current situation facing managers of computing, given the advent of small and comparatively inexpensive computers, is examined in detail, and a set of management options for dealing with this persistent issue is presented.

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Section: The Traditional Debatementioning

confidence: 99%

Centralized versus decentralized computing: organizational considerations and management options

1983

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“…Huesman and Goldberg. 1967, Ihrer, 1967, Joslin, 1968, Oldehoft and Halstead. 1972, Scheer, 1967, and Schneidewind, 1966 are set up on data files by the administrator of the game.…”

Section: Basic System Model and Game Environmentmentioning

confidence: 99%

Systems design education

Lyons

1978

Commun. ACM

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One of the problems facing managers of computer installations is the problem of configuring the computer system to meet the demands made by the mix of jobs that the computer center must service. This paper presents a management game that allons the player to configure a computer system to meet a hypothetical job mix. The job mix is under the control of a game administrator and can be varied to simulate a variety of real-world situations (I/O bound jobs, compute bound jobs, etc.). The player of the game receives a set of detailed reports on the cost of his choices and a simulated run of the center operating under his choices.

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The Influence of Computer Hardware and Communication Lines on the Cost of Distributed Computer Systems

Guaccimanni

Bucci

1976

Rechnernetze Und Datenfernverarbeitung

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Maximum computing power and cost factors in the centralization problem

Abstract: A simple analysis of some computer-economic factors involved in comparing multimachine installations versus large single machine installations is given, and a mathematical model is derived to assist policy decisions.

Cited by 8 publications

References 2 publications

Centralized versus decentralized computing: organizational considerations and management options

Centralized versus decentralized computing: organizational considerations and management options

Systems design education

The Influence of Computer Hardware and Communication Lines on the Cost of Distributed Computer Systems

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