Abstract
The principles on which artificial workload model design is currently based are reviewed. Design methods are found wanting for three main reasons: their resource orientation, with the selection of resources often unrelated to the performance impact of resource demands; their avoiding to define an accuracy criterion for the resulting workload model; and their ignoring the dynamics of the workload to be modeled. An attempt at establishing conceptual foundations for the design of interactive artificial workloads is described. The problems found in current design methods are taken into account, and sufficient conditions for the applicability of these methods are determined. The study also provides guidance for some of the decisions to be made in workload model design using one of the current methods.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference16 articles.
1. An Approach to the Workload Characterization Problem
2. Open, Closed, and Mixed Networks of Queues with Different Classes of Customers
3. N. Benwell ed. Benchmarking - Computer Evaluation and Measurement. Washington D.C.: Hemisphere 1975. N. Benwell ed. Benchmarking - Computer Evaluation and Measurement. Washington D.C.: Hemisphere 1975.
4. M. Calzarossa and G. Serazzi Reproduction of the dynamic aspects of workloads submitted for publication (1982). M. Calzarossa and G. Serazzi Reproduction of the dynamic aspects of workloads submitted for publication (1982).
Cited by
26 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Microservice-Tailored Generation of Session-Based Workload Models for Representative Load Testing;2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS);2019-10
2. Towards Effective Generation of Synthetic Memory References Via Markovian Models;2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC);2018-07
3. Workload Characterization;ACM Computing Surveys;2016-02-08
4. Using Chaos Theory based workload analysis to perform Dynamic Frequency Scaling on MPSoCs;Journal of Systems Architecture;2015-01
5. Mining Web Server Logs for Creating Workload Models;Communications in Computer and Information Science;2015