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Performance Evaluation

  • ISSN: 0166-5316

Editor-In-Chief: Casale

Next planned ship date: May 9, 2024

  • 5 Year impact factor: 2.1
  • Impact factor: 2.2

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… Read more

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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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