Special Issue "Symmetry in Algorithmic Graph Theory and Interconnection Networks"
Deadline for manuscript submissions: 30 November 2023 | Viewed by 1654
Interests: graph theory; interconnection networks; discrete applied mathematics; theoretical computer science; embedding; fault tolerance
Interests: algorithms; graph theory; network optimization; reliability and fault-tolerance; parallel and distributed computing
Special Issues, Collections and Topics in MDPI journals
Graph theory is an ancient but very active mathematical discipline that deals with the study of graphs, which are mathematical structures used to model relationships between objects. A graph consists of a set of vertices (nodes) and edges (connections) that link these vertices. Graph theory provides a powerful framework for analyzing and solving problems involving networks, such as interconnection networks, social networks, complex networks, transportation systems, and computer networks. It offers a rich collection of algorithms and concepts for understanding connectivity, paths, cycles, and other fundamental properties of graphs.
Interconnection networks are crucial in the design of large-scale computer systems, such as parallel computers, distributed systems, and high-performance computing clusters. Interconnection networks are typically represented as graphs, with nodes representing processing processors and edges representing communication links. Graph theory plays a vital role in analyzing the properties and performance of interconnection networks.
Symmetry is a fundamental concept found in various scientific disciplines. Many interconnection networks have symmetrical structures and possess high symmetry due to their recursive construction and their vertex-transitive and edge-transitive properties, and thus are used in parallel systems. Symmetry plays a crucial role in understanding and exploiting the inherent regularity and structure of networks.
Algorithms are used to solve a wide range of problems, including graph traversal, shortest paths, network routing, and network optimization. Symmetry-based algorithms enable the identification of symmetrical patterns within networks, leading to enhanced system performance and communication efficiency, reduced latency and resource utilization, and efficient resource allocation, fault tolerance, and load balancing.
Contributions pursuing solutions to graph theory problems with algorithms as well as for interconnection networks are welcome.
Dr. Dongqin Cheng
Prof. Dr. Jou-Ming Chang
Dr. Chengkuan Lin
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- complex networks
- graph algorithms
- graph theory
- interconnection networks
- network optimization
- parallel and distributed computing
- reliability and fault tolerance
- social networks
- topological index