Cluster Computing

Show Articles
Journal Properties
  • Country
    Netherlands
  • Language
    English
  • Number of Articles
    4,164
  • Abbreviation
    Cluster Comput
  • ISSN
    1386-7857
  • e-ISSN
    1573-7543
  • Main Publisher
    Springer Nature
  • Publisher
    Springer Science and Business Media LLC
  • Indian UGC
  • Indian UGC Name
  • DOAJ (latest)
Journal Properties
  • Science
    Mathematics
    Instruments and machines
    Electronic computers
    Computer science
    Science
    Mathematics
    Instruments and machines
    Electronic computers
    Computer science
    Computer software
    Science
    Science (General)
    Cybernetics
    Information theory
    Technology
    Electrical engineering
    Electronics
    Nuclear engineering
    Electronics
    Computer engineering
    Computer hardware
  • website
Description
Cluster Computing is an international journal that explores the advancements in cluster computing: architectures, software, and applications. This journal serves as a vital platform for researchers and practitioners to disseminate their findings on topics including parallel and distributed computing, data mining, grid computing, cloud computing, and high-performance computing. It delves into innovative solutions for resource management, scheduling, and fault tolerance within cluster environments. The journal covers a broad spectrum of subjects, such as algorithms, programming models, communication protocols, and performance evaluation. Indexed in prominent databases like Scopus and Web of Science, Cluster Computing attracts a diverse readership, including computer scientists, engineers, and researchers in various fields requiring high-performance computing capabilities. Cluster Computing encourages submissions that demonstrate significant impact and practical applications of cluster technologies. It emphasizes the importance of optimizing computational resources for scientific simulations, big data analytics, and other computationally intensive tasks. Researchers can contribute by exploring novel approaches for enhancing the efficiency and scalability of cluster-based systems, fostering future developments in the field.