A Stochastic Model for File Lifetime and Security in Data Center Networks
Quan-Lin Li, Fan-Qi Ma, Jing-Yu Ma

TL;DR
This paper models file lifetime and security in data center networks using Markov processes, providing methods to evaluate how replication policies affect data longevity and security in large-scale infrastructures.
Contribution
It introduces a stochastic model with a file d-threshold policy and develops Markov-based methods to assess file lifetime and security, enhancing understanding of data durability in data centers.
Findings
Effective evaluation methods for file lifetime in large-scale networks
Markov process models for data security assessment
Application of RG-factorizations for large network analysis
Abstract
Data center networks are an important infrastructure in various applications of modern information technologies. Note that each data center always has a finite lifetime, thus once a data center fails, then it will lose all its storage files and useful information. For this, it is necessary to replicate and copy each important file into other data centers such that this file can increase its lifetime of staying in a data center network. In this paper, we describe a large-scale data center network with a file d-threshold policy, which is to replicate each important file into at most d-1 other data centers such that this file can maintain in the data center network under a given level of data security in the long-term. To this end, we develop three relevant Markov processes to propose two effective methods for assessing the file lifetime and data security. By using the RG-factorizations,…
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Taxonomy
TopicsCloud Computing and Resource Management · Advanced Data Storage Technologies · Distributed systems and fault tolerance
