Call for Papers -- Reimagining the Future - Transformative Approaches in High Performance Distributed Computing

2024-08-21

Purpose and Current Relevance:

The high-performance distributed (HDPC) computing approach aspires to make the most of numerous capabilities that are isolated across a computer system. Every user has needs that get distributed throughout the network infrastructure by an adequate interaction medium. The three main applications of the HDPC paradigm are as follows: Initially, the very premise of scattered software emphasises the usage of computer-to-computer data transmission. These networks are crucial for generating the data needed to carry out activities on faraway assets. According to the modest expense of functions that are spread over a wide network, the entire system is modular and may be modified to achieve the necessary degree of firm profitability. Alternatively, compared to a cohesive dedicated hardware device, a network infrastructure is more reliable. In contrast to a single processor asset, a specific network node malfunction in a virtualized environment does not typically interrupt the actual system. The primary incentives for consumers of embedded environments are flexibility, dependability, community involvement, and performance monitoring from distant intermittent sources.

The availability and installation of servers, routers, and other services, as well as the interfaces and techniques employed by systems, are frequently necessary for processing in high performance distributed computing systems. Response, preference, and functionalities necessitate exposure to precise, current knowledge of the composition and condition of resources and services. Indeed, there is currently a key area of interest for gathering or collecting such data. As a natural outcome, various tools and programmes either use arbitrary procedures or standard functionalities, which reduce their adaptability and efficiency. Systems that integrate widely distant mainframes, directories, and academic equipment using high-speed systems can exploit open networks and have access to desirable capabilities. Therefore, HDPC necessitates systems for protecting the security and privacy of interactions as well as recipient and utility authentication. The programme architecture, development environments, and system specifications included in these systems aren't always directly supported by security protocols designed for predominant software components. It is quite essential to interpret the fundamental concepts that enable platforms, such as virtualization, which involves the stage as a modality for embedded environments.

This special issue exposes various characteristics that are usually brought on by the distinct design specification of high performance distributed computing. Mostly in multiple categories of activities, the effectiveness of the distributed applications has been explored under specific environments. The asserted data compression or pre-fetching had a significant advantage.

List of topics to be covered in this special issue include, but are not limited to the following:

  • Distributed machine learning algorithms for big data analytics
  • Edge computing architectures and resource management
  • Cloud-native approaches for scalable distributed computing
  • Novel scheduling algorithms for high-performance distributed systems
  • Security and privacy challenges in distributed computing environments
  • Distributed consensus protocols and fault tolerance mechanisms
  • Performance optimization techniques for distributed storage systems
  • Energy-efficient strategies for large-scale distributed computing
  • Intelligent resource provisioning and workload management in HPDC
  • Integration of HPDC with emerging technologies like blockchain and IoT
  • Scalable data processing and stream processing in distributed systems
  • Novel approaches for parallel and distributed computing in scientific applications
  • Hybrid cloud-edge architectures for distributed computing at the network.

 

Guest Editors:
Dr. S. B. Goyal, Faculty of Information Technology, City University, Petaling Jaya, Malaysia
Dr. Anand Singh Rajawat, School of Computer Sciences and Engineering, Sandip University, Nashik, India
Dr. Chaman Verma, Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary

 

Tentative Deadlines for Submission:
Manuscript submission deadline: February 25, 2025
Authors notification: May 20, 2025
Revised papers due: August 30, 2025
Final notification: November 25, 2025