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International Journal of Grid and High Performance Computing - IGI Global | 2024 Impact Factor:0.6 | Cite Score:2.8 | Q4

International Journal of Grid and High Performance Computing With Cite Score

Cite Score and Journal Rank of International Journal of Grid and High Performance Computing

  • About: The International Journal of Grid and High Performance Computing (IJGHPC) is a peer-reviewed scholarly journal that focuses on the latest advancements and applications in grid computing and high-performance computing (HPC). The journal serves as a platform for researchers, practitioners, and industry professionals to share innovative ideas, research findings, and practical applications in these rapidly evolving fields. It covers a broad range of topics including distributed computing, parallel processing, cloud computing, data-intensive computing, and their use in solving complex computational problems.
  • Objective
    The primary objective of the International Journal of Grid and High Performance Computing is to advance the state of research and practice in grid and high-performance computing by providing a forum for the dissemination of high-quality research papers, case studies, and technical reviews. The journal aims to promote the development and application of new techniques, methodologies, and technologies that can enhance the performance, efficiency, and scalability of computing systems. It seeks to address both theoretical and practical challenges in the field, contributing to the growth of knowledge and innovation in grid and HPC.
  • Interdisciplinary Approach
    The International Journal of Grid and High Performance Computing adopts a strongly interdisciplinary approach, recognizing that the challenges and innovations in grid and high-performance computing often span multiple fields of study. The journal actively encourages submissions that integrate concepts, methods, and technologies from various disciplines to solve complex computational problems.
  • Impact and Audience
    The International Journal of Grid and High Performance Computing is recognized for its contribution to the academic and professional community by publishing cutting-edge research that addresses current and emerging challenges in grid and HPC. The journal is widely read by researchers, academicians, and professionals involved in the design, development, and implementation of advanced computing systems. Its articles are frequently cited in the field, making it an important resource for those seeking to stay at the forefront of developments in grid and high-performance computing.

  • Editor-in-Chief:  Ching-Hsien Hsu

  • Scope: The International Journal of Grid and High Performance Computing (IJGHPC) is a prominent journal dedicated to the exploration and dissemination of research in the areas of grid computing, high-performance computing, and their applications. The journal provides a platform for researchers, practitioners, and academicians to share their innovative ideas, methodologies, and findings in the rapidly evolving fields of computing infrastructure and computational sciences.
  • Grid Computing:
    Resource Management: Research on effective resource allocation, scheduling, and management in grid environments.
  • Grid Middleware: Studies on the development and enhancement of middleware solutions that facilitate interoperability and scalability in grid systems.
  • Data Grids: Exploration of grid-based data management, including distributed storage, data replication, and access control mechanisms.
  • Grid Security: Research on security challenges and solutions in grid computing, including authentication, authorization, and data integrity.
  • High-Performance Computing (HPC):
    Parallel Computing: Studies on parallel algorithms, programming models, and architectures for high-performance computing systems.
  • Supercomputing: Research on the design, development, and optimization of supercomputing systems and applications.
  • Performance Analysis and Optimization: Exploration of techniques for analyzing and optimizing the performance of HPC applications and systems.
  • Energy-Efficient HPC: Studies on power consumption, energy efficiency, and green computing practices in high-performance computing.
  • Cloud and Distributed Computing:
    Cloud Infrastructure: Research on cloud-based platforms and their integration with grid and HPC environments.
  • Virtualization: Studies on the role of virtualization in enhancing resource utilization and flexibility in distributed computing.
  • Distributed Systems: Exploration of distributed computing models, frameworks, and their applications in various scientific and engineering domains.
  • Applications and Case Studies:
    Scientific Computing: Research on the application of grid and HPC technologies in solving complex scientific problems, such as in physics, chemistry, and biology.
  • Engineering Simulations: Studies on the use of high-performance computing for engineering simulations and modeling in areas like fluid dynamics, structural analysis, and materials science.
  • Big Data Analytics: Exploration of grid and HPC approaches for handling and processing large-scale data sets in various fields, including finance, healthcare, and social sciences.
  • Emerging Technologies and Trends:
    Quantum Computing: Research on the intersection of high-performance computing and emerging quantum computing technologies.
  • Edge and Fog Computing: Studies on the integration of edge and fog computing paradigms with traditional grid and HPC systems.
  • Artificial Intelligence and Machine Learning: Exploration of HPC applications in training and deploying large-scale AI and machine learning models.
  • Challenges and Future Directions:
    Scalability: Research on the scalability of grid and HPC systems to meet the growing computational demands of various applications.
  • Interoperability: Studies on ensuring seamless interoperability between different computing environments and platforms.
  • Resilience and Fault Tolerance: Exploration of techniques for enhancing the resilience and fault tolerance of grid and HPC systems.
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  • Print ISSN:  1938-0259

    Electronic ISSN:  1938-0267

  • Abstracting and Indexing:  Scopus, Emerging Sources Citation Index (ESCI)

  • Imapct Factor 2024:  0.6

  • Subject Area and Category:  Computer Science,Computer Networks and Communications

  • Publication Frequency:  Bi-Monthly

  • H Index:  16

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Computer Networks and Communications

  • Cite Score:  2.8

  • SNIP:  0.258

  • Journal Rank(SJR):  0.179