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.