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Retrieving data from large-scale source code archives is vital for AI training, neural-based software analysis, and information retrieval, to cite a few. This paper studies and experiments with the design of a compressed key-value store for…

Data Structures and Algorithms · Computer Science 2026-01-21 Paolo Ferragina , Francesco Tosoni

We consider a new fundamental question regarding the point-to-point memoryless channel. The source-channel separation theorem indicates that random codebook construction for lossy source compression and channel coding can be independently…

Information Theory · Computer Science 2011-10-04 Paul Cuff , Curt Schieler

To recover simultaneous multiple failures in erasure coded storage systems, Patrick Lee et al introduce concurrent repair based minimal storage regenerating codes to reduce repair traffic. The architecture of this approach is simpler and…

Information Theory · Computer Science 2016-04-25 Huayu Zhang , Hui Li , Hanxu Hou , K. W. Shum , ShuoYen Robert Li

Motivated by emerging applications to the edge computing paradigm, we introduce a two-layer erasure-coded fault-tolerant distributed storage system offering atomic access for read and write operations. In edge computing, clients interact…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-01 Kishori M. Konwar , N. Prakash , Nancy Lynch , Muriel Medard

Blockchain is a distributed ledger with wide applications. Due to the increasing storage requirement for blockchains, the computation can be afforded by only a few miners. Sharding has been proposed to scale blockchains so that storage and…

Cryptography and Security · Computer Science 2020-11-13 Divija Swetha Gadiraju , V. Lalitha , Vaneet Aggarwal

A new scheme for the problem of centralized coded caching with non-uniform demands is proposed. The distinguishing feature of the proposed placement strategy is that it admits equal sub-packetization for all files while allowing the users…

Information Theory · Computer Science 2019-07-26 Saeid Sahraei , Pierre Quinton , Michael Gastpar

Cloud computing facilitates the access of applications and data from any location by a distributed storage system. Erasure codes offer better data replication technique with reduced storage costs for more reliability. This paper considers…

Information Theory · Computer Science 2021-02-04 Srujan Teja Thomdapu , Ketan Rajawat

High availability of containerized applications requires to perform robust storage of applications' state. Since basic replication techniques are extremely costly at scale, storage space requirements can be reduced by means of erasure or…

Information Theory · Computer Science 2017-11-09 Francesco De Pellegrini , Rachid El Azouzi , Alonso Silva , and Olfa Hassani

The distributed data storage systems are constructed by large number of nodes which are interconnected over a network. Each node in such peer-to-peer network is vulnerable and at a potential risk for attack. The attackers can eavesdrop the…

Information Theory · Computer Science 2016-02-08 Ninoslav Marina , Aneta Velkoska , Natasa Paunkoska

Developing complex software requires that multiple views and versions of the software can be developed in parallel and merged as supported by views and managed by version control systems. In this context, this paper considers monitoring…

Software Engineering · Computer Science 2022-07-12 Matthias Barkowsky , Holger Giese

The increasing demand for data storage has prompted the exploration of new techniques, with molecular data storage being a promising alternative. In this work, we develop coding schemes for a new storage paradigm that can be represented as…

Information Theory · Computer Science 2025-10-30 Boaz Moav , Ryan Gabrys , Eitan Yaakobi

A new family of codes, called clustering-correcting codes, is presented in this paper. This family of codes is motivated by the special structure of data that is stored in DNA-based storage systems. The data stored in these systems has the…

Information Theory · Computer Science 2019-03-12 Tal Shinkar , Eitan Yaakobi , Andreas Lenz , Antonia Wachter-Zeh

We consider the problem of designing decentralized schemes for coded caching. In this problem there are $K$ users each caching $M$ files out of a library of $N$ total files. The question is to minimize $R$, the number of broadcast…

Information Theory · Computer Science 2018-01-25 Yitao Chen , Karthikeyan Shanmugam , Alexandros G. Dimakis

To solve the access-balancing problem in distributed storage systems, we introduce a new combinatorial model, called MinVar model for fractional repetition (FR) codes. Since FR codes are based on graphs or set systems, our MinVar model is…

Information Theory · Computer Science 2020-11-25 Wenjun Yu , Xiande Zhang , Gennian Ge

We present a general technique for garbage collecting old versions for multiversion concurrency control that simultaneously achieves good time and space complexity. Our technique takes only $O(1)$ time on average to reclaim each version and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-20 Naama Ben-David , Guy E. Blelloch , Panagiota Fatourou , Eric Ruppert , Yihan Sun , Yuanhao Wei

In large-scale distributed storage systems, erasure codes are used to achieve fault tolerance in the face of node failures. Tuning code parameters to observed failure rates has been shown to significantly reduce storage cost. Such tuning of…

Information Theory · Computer Science 2020-06-05 Francisco Maturana , V. S. Chaitanya Mukka , K. V. Rashmi

Accurate modeling of the correlation between the sources plays a crucial role in the efficiency of distributed source coding (DSC) systems. This correlation is commonly modeled in the binary domain by using a single binary symmetric channel…

Information Theory · Computer Science 2012-11-12 Mojtaba Vaezi , Fabrice Labeau

A scheme for concatenating the recently invented polar codes with non-binary MDS codes, as Reed-Solomon codes, is considered. By concatenating binary polar codes with interleaved Reed-Solomon codes, we prove that the proposed concatenation…

Information Theory · Computer Science 2016-11-17 Hessam Mahdavifar , Mostafa El-Khamy , Jungwon Lee , Inyup Kang

Distributed storage systems (DSSs) provide a scalable solution for reliably storing massive amounts of data coming from various sources. Heterogeneity of these data sources often means different data classes (types) exist in a DSS, each…

Information Theory · Computer Science 2017-01-24 Koosha Pourtahmasi Roshandeh , Moslem Noori , Masoud Ardakani , Chintha Tellambura

Deduplication finds and removes long-range data duplicates. It is commonly used in cloud and enterprise server settings and has been successfully applied to primary, backup, and archival storage. Despite its practical importance as a…

Information Theory · Computer Science 2019-11-22 Urs Niesen