About
Impactful Interconnects - Journal of Scalable and Distributed Computing Systems is a peer-reviewed journal that aims to publish original research articles, reviews, and technical notes that advance the state of the art in scalable and distributed computing systems. The journal welcomes research in various fields such as scalable computing, distributed computing, parallel computing, cloud computing, edge computing, Internet of Things, high-performance computing, big data, and machine learning. Authors can consider submitting research papers that address the scalability, reliability, security, and efficiency of interconnects in these systems. The journal also encourages submissions that explore the design, implementation, and optimization of distributed algorithms, protocols, and architectures. Furthermore, research that evaluates the performance and impact of scalable and distributed computing systems on real-world applications is also of interest to the journal.
The journal welcomes the following types of contributions:
1. Original research articles
2. Extended Conference papers
3. Survey/Review articles, providing a comprehensive review on a scientific topic
4. Fast Communications: Short, self-contained articles on ongoing research, or reporting interesting, possibly tentative, ideas, or comments on previously published research
5. Technical Notes
Aims and Scope
Impactful Interconnects - Journal of Scalable and Distributed Computing Systems is a peer-reviewed journal that aims to publish original research articles, reviews, and technical notes that advance the state of the art in scalable and distributed computing systems. The journal welcomes research in various fields such as scalable computing, distributed computing, parallel computing, cloud computing, edge computing, Internet of Things, high-performance computing, big data, and machine learning. Authors can consider submitting research papers that address the scalability, reliability, security, and efficiency of interconnects in these systems. The journal also encourages submissions that explore the design, implementation, and optimization of distributed algorithms, protocols, and architectures. Furthermore, research that evaluates the performance and impact of scalable and distributed computing systems on real-world applications is also of interest to the journal.
Topics include, but not limited to:
- Scalable Computing:
- Novel approaches to scaling computing resources efficiently.
- Scalable data storage and retrieval mechanisms.
- Load balancing and resource allocation in scalable systems.
- Distributed Computing:
- Distributed algorithms for resource management and scheduling.
- Fault-tolerant distributed systems.
- Consensus protocols in distributed computing.
- Parallel Computing:
- High-performance parallel processing architectures.
- Parallel programming paradigms and languages.
- Scalable parallel algorithms and data structures.
- Cloud Computing:
- Cloud resource provisioning and elasticity.
- Multi-cloud and hybrid cloud solutions.
- Cloud-native application development and deployment.
- Edge Computing:
- Edge computing architectures and paradigms.
- Edge intelligence and analytics.
- Edge-assisted real-time applications.
- Internet of Things (IoT):
- Scalable IoT communication protocols.
- IoT data management and analytics.
- IoT security and privacy in distributed environments.
- High-Performance Computing (HPC):
- Advanced techniques for HPC systems.
- Performance optimization for HPC applications.
- Fault tolerance and reliability in HPC environments.
- Big Data:
- Scalable data processing and analysis.
- Big data storage and retrieval solutions.
- Distributed machine learning on large datasets.
- Machine Learning in Distributed Systems:
- Scalable machine learning algorithms.
- Distributed deep learning frameworks.
- Federated learning and privacy in distributed ML.
- Interconnects and Network Protocols:
- High-speed interconnects for scalable systems.
- Performance evaluation of network protocols.
- Security and efficiency of interconnects.
- Distributed System Security:
- Scalable security mechanisms in distributed systems.
- Threat detection and mitigation in large-scale systems.
- Blockchain and distributed ledger technologies.
- Performance Evaluation and Benchmarking:
- Metrics for evaluating the performance of distributed systems.
- Benchmarking scalable computing infrastructures.
- Case studies on the performance of real-world applications.
- Distributed System Design and Architecture:
- Design principles for scalable and distributed systems.
- Architectural patterns for large-scale applications.
- Case studies on distributed system implementations.
- Optimization Techniques for Distributed Systems:
- Optimization of distributed algorithms and protocols.
- Energy-efficient distributed computing.
- Scalability and efficiency trade-offs in distributed systems.
- Real-World Applications of Distributed Computing:
- Distributed systems for healthcare and bioinformatics.
- Scalable solutions for smart cities and urban computing.
- Distributed computing for large-scale simulations and scientific research.
Bibliographic Information
Print ISSN: 2961-0915
Electronic ISSN: 2961-0923
DOI: 10.5281/zenodo
Registered with the National Library of Mauritius
Archival Content
Content published are archived on zenodo which is funded by CERN, OpenAIRE and the European Commission.
Open Access
Impactful Interconnects - Journal of Scalable and Distributed Computing Systems is an open access journal. All articles are immediately available to read and reuse upon publication. More information about our Open Access policy can be found on our open access page and copyright page.