Data availability is one of the most important performance factors in cloud storage systems.
To enhance data availability, replication is a common approach to handle the machine …

This article addresses the problem of self-tuning the data placement in replicated key-value
stores. The goal is to automatically optimize replica placement in a way that leverages …

In China's criminal procedure law, electronic data is a kind of independent evidence. With
the development of big data technology, more and more attention has been paid to the …

Abstract Peer-to-peer (P2P) systems have been widely researched over the past decade,
leading to highly scalable implementations for a wide range of distributed services and …

Abstract Data Center Networks (DCN), a core infrastructure of cloud computing, place heavy
demands on efficient storage and management of massive data. The data storage scheme …

Modern distributed key-value (KV) stores adopt replication for fault tolerance by distributing
replicas of KV pairs across nodes. However, existing distributed KV stores often manage all …

To reduce time delay of processing data and improve the efficiency of cloud computing, a
clustering algorithm based on the principle of minimum distance is proposed to place user …

Data placement refers to the problem of deciding how to assign data items to nodes in a
distributed system to optimize one or several of a number of performance criteria such as …

Many time-critical and data-intensive distributed applications for the computing continuum
depend on low-latency, scalable, and highly available distributed key value storages. In this …

Massive-scale distributed computing is a challenge at our doorstep. The current exponential
growth of data calls for massive-scale capabilities of storage and processing. This is being …