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The Proceedings of the ACM on the Measurement and Analysis of Computing Systems (POMACS) publishes original research of the highest quality dealing with performance of computing systems, broadly construed. We recognize that critical insights into key design trade-offs in computer or network systems have historically be obtained using a broad set of tools: benchmarking and experimental evaluation, mathematical modeling, algorithmic analysis, which often need to be combined creatively. This publication hence broadly welcomes works that further the state-of-the-art in determining or predicting the performance of computing systems and their applications. This includes efforts that creatively apply previously developed methods in systems, measurement and theory, and especially those combining results from multiple technical areas. Computing systems is broadly defined and includes in particular computer architecture, file and memory systems, database systems, computer networks, operating systems, distributed systems, web-based systems, data centers, cloud computing, large applications such as online social networks and wireless networks. Performance refers both to speed and the efficient use of various resources, including green computing for environmental sustainability. Examples of performance evaluation methods include, among others, optimization, stochastic modeling and statistical analysis, instrumentation techniques and measurement design, workload characterization, formal methods for model verification, analysis of stochastic networks, and simulation.
POMACS will eventually publish four issues per year. For 2018, it will publish three.
POMACS is governed by non-paid volunteers: the Editor-In-Chief, Editors, Associate Editors, and the Advisory Board.