IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i2id1098.html

Evolution of Performance Engineering: From Desktop to Wearables - A Comprehensive Analysis of System Optimization Across Device Types

Author

Listed:
  • Sayanna Chandula
  • Jyothi Prakash Reddy

Abstract

This article explores the evolution and fundamentals of performance engineering across various device types, from desktop computers to modern wearable technology. This article examines core objectives, key metrics, and emerging trends in performance optimization while highlighting the increasing complexity of hardware-software integration challenges. This article delves into the transformation of performance engineering methodologies, emphasizing the critical role of power efficiency, system reliability, and resource management in modern computing systems. This article analyzes the impact of artificial intelligence integration, next-generation connectivity, and extended reality technologies on performance engineering practices. Through detailed examination of testing methodologies and optimization techniques, the article demonstrates how performance engineering has adapted to meet evolving user expectations and technological capabilities. This article provides insights into the symbiotic relationship between device evolution and performance optimization, highlighting the importance of balanced approaches in addressing both immediate user needs and long-term technological sustainability.

Suggested Citation

  • Sayanna Chandula & Jyothi Prakash Reddy, 2025. "Evolution of Performance Engineering: From Desktop to Wearables - A Comprehensive Analysis of System Optimization Across Device Types," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 317-326, March.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1098
    DOI: 10.32628/CSEIT25112364
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112364
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT25112364
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT25112364/CSEIT25112364
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT25112364?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1098. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.