Peter S. Mager
Abstract
The task of modeling the performance of a single computer (host) with associated peripheral devices is now well understood [Computer 80]. In fact, highly usable tools based on analytical modeling techniques are commercially available and in widespread use throughout the industry. [Buzen 78] [Buzen 81] [Won 81] These tools provide a mechanism for describing computerized environments and the workloads to be placed on them in a highly parameterized manner. This is important because it allows users to describe their computer environments in a structured way that avoids unnecessary complexity. It also is helpful in facilitating intuitive interpretations of modeling results and applying them to capacity planning decisions.
A first step toward building a modeling tool and associated network specification language that allows straightforward, inexpensive, and interpretable modeling of multi-computer network performance is to identify the set of characteristics (parameters) that most heavily influence that performance. The result of such a study for the communication aspects of local area networks is the subject of this paper.
- 1 Buzen, J.P., Goldberg, R.P., Langer, A.M., Lentz, E., Schwenk, H.S., Sheetz, D.A. and Shum, A. Best/1 - Design of a tool for computer system capacity planning. In 1978 NCC. ACM, 1978.Google Scholar
- 2 Buzen, J.P., Goldberg, R.P., Grieser, T., Hall, D.E., Hart, M.W., Hua, K., Langer, A.M., Levy, A.I., Liu, M.H., Mager, P.S., Sarasohn, A.H. and Schwenk, H.S. Predicting Software Performance with Crystal. In Third Annual International Conference on Computer Capacity Management. Chicago, Ill., April, 1981.Google Scholar
- 3 John Spragins (editor). Computer magazine special issue on Analytical Queueing Models. IEEE Computer Society, 1980.Google Scholar
- 4 Bill Won. Capacity Management at Chemical Bank. In 1981 Conference on EDP Performance Management. Phoenix, Arizona, 1981.Google Scholar
Index Terms
- Toward a parametric approach for modeling local area network performance
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