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Cloud computing (CC), in contrast to traditional high‐performance computing environments, is a group of imaginary and networked resources of computing that are controlled by one unified maximum‐performance computing power. Here, this work aims ...

In reality, there are two scenarios for prioritization: queuing both high‐priority and low‐priority data, and basing costs on an analysis of storage demand. The job may be finished more rapidly because the maximum priority queue comprises demands with a ...

In this paper, we propose ProCreate, a simple and easy-to-implement method to improve sample diversity and creativity of diffusion-based image generative models and to prevent training data reproduction. ProCreate operates on a set of reference ...

This paper studies an online replication problem for distributed data access. The goal is to dynamically create and delete data copies in a multi-server system as time passes to minimize the total storage and network cost of serving access requests. We ...

The current generation of Research Data Store (RDS) at The University of Sydney comprises a pair of peta-scale data storage systems. We implemented a disaster recovery (DR) solution on both systems for data protection against catastrophic failure. To ...

Science collaborations use computer grids to run expensive computational tasks on large data sets. Tasks as jobs across the network demand data and thereby workload management and data allocation to maintain the computational workflow. Data ...

Processing-in-Memory (PIM) architecture suffers from frequent data synchronization, which raises inevitable coherent stalls and consumes more energy. This paper presents DrPIM, an adaptive and less-blocking data replication framework for Processing-in-...

An increasing number of mobile applications share location-dependent information, from collaborative applications and social networks to location-based games. In such applications, users are interested in information related to their immediate ...

This paper presents techniques to display 3D illuminations using Flying Light Specks, FLSs. Each FLS is a miniature (hundreds of micrometers) sized drone with one or more light sources to generate different colors and textures with adjustable ...

Distributed file systems are essential to support applications that handle large volumes of data. One of the most widely used distributed file systems is the HDFS, the Apache Hadoop's Distributed File System. Data replication, which is at the heart of ...

Data replication constitutes an important issue in Cloud data management. In this context, a significant number of replication strategies have been proposed for Cloud systems. Most of the studies in the literature have classified these strategies into ...

Data centers store the necessary data for the operation of services and applications used by users. They usually consist of many physical servers connected to each other, with virtual machines and other systems, applications, databases installed. ...

The growing adoption of Fog computing for the sensitive-time IoT applications allows to facilitate the real-time actions and to enhance their efficiency and performance. In fact, keeping the data in the distributed Fog network brings the advantages and ...

Cloud computing environment is getting more interesting as a new trend of data management. Data replication has been widely applied to improve data access in distributed systems such as Grid and Cloud. However, due to the finite storage capacity ...

Feeding external data to a blockchain, a.k.a. data feed, is an essential task to enable blockchain interoperability and support emerging cross-domain applications. Given the data-intensive nature of real-life feeds (e.g., high-frequency price updates) ...

The rapid digitalization across industries comes with many challenges. One key problem is how the ever-growing and volatile data generated at distributed locations can be efficiently processed to inform decision making and improve products. ...

In large-scale distributed systems, replication service has been playing a critical role to improve the availability and reliability of user data. Conventionally, the existing replication services mainly concentrate on how many replicas are needed to ...

In recent cloud systems, data-intensive applications have been widely deployed for solving non-trivial problems, which often involve large amount of dataset. As a standard service for offering data availability and reliability, data replication service ...

Geo-replicated cloud datastores adopt the replication methodology by placing multiple data replicas at suitable storage zones. This can provide reliable services to customers with high availability, low access latency, low system cost, and decreased ...

Internet of Things (IoT) as a new technological revolution has been proposed recently wherein the things are connected over the Internet. Because of the inherent characteristics of IoT for storage of data at untrusted and heterogeneous hosts, data ...

In MANET data replication play a major role for energy conservation. Redundant data transmission makes network traffic heavier and causes unnecessary energy utilisation. This paper addresses the problems due to the network traffic and unnecessary energy ...