Coding and Information Theory for Distributed Storage Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: closed (15 August 2021) | Viewed by 2717
Special Issue Editors
Interests: information theory; communication theory; network coding; causal inference; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: information theory; wireless communications; network coding; index coding; information-theoretic security and privacy
Special Issues, Collections and Topics in MDPI journals
Interests: information theory; coding for distributed storage; distributed computation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Data storage systems, housing massive amounts of information, have become an indispensable component in modern communication networks, as well as cloud computing and network applications. For information backup, data is split, duplicated, and stored in different locations, in a way that is robust to node failures; for distributed computations, data is partitioned into different sets and communicated to different computers for computations, the results of which are then communicated and combined to obtain the required computational result; for content distribution, information is duplicated at different local servers closer to the clients for easy and efficient access.
The trend towards ubiquitous data storage in current and future applications induces stringent requirements for data storage, especially in the aspects of reliability and security—not only for storing the data but also for disseminating the data to users and different nodes in the systems. The use of information theory and coding to study the fundamental limits of data storage systems and to innovate efficient coding schemes has gained significant attention from both academia and industry.
This Special Issue will collect original papers within the research area of coding for distributed storage, including the derivation of fundamental trade-offs in storage systems, the design of practical codes that enable efficient data access and update, and the construction of coding schemes that keep stored data confidential and protect the privacy of users. Papers on network coding, physical-layer network coding, secure network coding, and coded caching are also welcome.
Dr. Siu-Wai Ho
Prof. Lawrence Ong
Prof. Kenneth Shum
Guest Editor
Manuscript Submission Information
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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. Entropy 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 2600 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.
Keywords
- Coded caching
- Coding for distributed storage
- Fundamental limits in data storage systems
- Physical-layer network coding
- Secure network coding
- Secure storage systems
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