Parallel and Distributed Algorithms for Demanding Data Analysis and Applications
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Parallel and Distributed Algorithms".
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 412
Special Issue Editor
Interests: distributed and parallel algorithms; data-streaming; applications of these in cyber-physical systems/Internet-of-Things; fine-grain synchronization
Special Issue Information
Dear Colleagues,
The emerging digitalization of physical systems and applications brings new requirements for parallel and distributed algorithms, as well as for their data structures. The domains span industrial systems, vehicular networks, electricity grids, health-support systems and more, while applications are numerous, including continuous monitoring, stream processing, continuous optimization, resource management, and matching, distributed, and parallel learning and more. The challenges stem from varying data rates, from application demands for latency, throughput, scalability, robustness and consistency, from needs to exploit data locality in applications that are naturally distributed, as well as from expectations to exploit the possibilities offered by hardware diversity in deployable processing devices, ranging from embedded devices to high-end servers, possibly featuring new primitives.
The aim of this Special Issue is to seek new approaches and to collect a set of high-quality novel contributions of relevance to these areas and associated aspects of large-scale data processing and analysis, for demanding problems, systems, and applications. After appropriate peer reviewing, accepted papers will be published, free of charge, in open access form.
Dr. Marina Papatriantafilou
Guest Editor
Manuscript Submission Information
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