Información de la Revista

Performance Evaluation

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Factor de Impacto:
1.0
Editor:
Elsevier
ISSN:
0166-5316
Vistas:
28344
Seguidores:
10

Solicitud de Artículos

Performance Evaluation is an academic journal published by Elsevier. (ISSN 0166-5316, impact factor 1.0, CCF B).

Performance Evaluation is a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire field of performance evaluation. The journal audience encompasses academics, industrial researchers, and professional figures such as performance engineers, network managers, and computer system designers. The journal solicits from its audience papers that focus on one or more of the following dimensions: Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques Provide new insights into the performance of computing and communication systems Present novel control and learning methods for performance management Introduce new application areas where performance evaluation tools and methods can play an important role Contributions to the journal often focus on theoretical, methodological, or applied aspects of: Resource allocation (e.g., routing and flow control, bandwidth allocation, load-balancing, deployment,... System tuning, sizing and optimal configuration System reliability and dependability Energy efficiency and energy harvesting System architecture design and implementation Application areas of interest include, but are not limited to, the following: Computer and communication networks (e.g., software-defined, wireless, cognitive radio, ad-hoc, quantum,... Data centers Cloud, IoT, edge, and cyber-physical systems Social networks, social media, metaverse AI-based services Big data and storage systems Blockchain and distributed ledgers Autonomous and self-organizing systems Embedded systems Commonly featured performance evaluation methods and techniques include: Stochastic models (e.g., queueing theory, mean-field models, stochastic geometry,... Data-driven methods (e.g., AI/machine learning, inference, statistical analysis, ...) Scheduling and load balancing theory Simulation methods Game theory and pricing Measurement techniques (e.g. software and hardware monitors) and workload characterization Note that the above lists are not all inclusive or restrictive and submissions with creative applications of performance evaluation tools outside of those above and/or applications outside of those above are also welcome. A variety of types of submissions are possible, primarily original work, tutorials & surveys.
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