Data protection by means of fragmentation in various different distributed storage systems - a survey

TL;DR

This survey reviews distributed storage systems employing data fragmentation for protection, categorizing solutions into bitwise and structurewise types, and discusses key architectural traits for efficiency and resilience.

Contribution

It provides a comprehensive classification of existing fragmentation-based storage solutions and outlines high-level requirements for effective data protection architectures.

Findings

Systems are categorized into bitwise and structurewise types.

Structured data systems handle heterogeneous environments with predefined confidentiality.

Key architectural traits include performance, availability, resilience, and scalability.

Abstract

This paper analyzes various distributed storage systems that use data fragmentation and dispersal as a way of protection.Existing solutions have been organized into two categories: bitwise and structurewise. Systems from the bitwise category are operating on unstructured data and in a uniform environment. Those having structured input data with predefined confidentiality level and disposing of a heterogeneous environment in terms of machine trustworthiness were classified as structurewise. Furthermore, we outline high-level requirements and desirable architecture traits of an eficient data fragmentation system, which will address performance (including latency), availability, resilience and scalability.