Cost optimization for cloud storage from user perspectives: Recent advances, taxonomy, and survey

M Liu, L Pan, S Liu - ACM Computing Surveys, 2023 - dl.acm.org
With the development and maturity of cloud storage, it has attracted a large number of users.
Although cloud users do not need to concern themselves with the infrastructure used for …

Data replication schemes in cloud computing: a survey

A Shakarami, M Ghobaei-Arani, A Shahidinejad… - Cluster …, 2021 - Springer
In recent years, cloud storage systems have emerged as a promising technology for storing
data blocks on various cloud servers. One of the main mechanisms in cloud storage systems …

[PDF][PDF] Load balancing framework for cross-region tasks in cloud computing

J Nazir, MW Iqbal, T Alyas, M Hamid… - … , Materials & Continua, 2022 - academia.edu
Load balancing is a technique for identifying overloaded and underloaded nodes and
balancing the load between them. To maximize various performance parameters in cloud …

Fog-assisted de-duplicated data exchange in distributed edge computing networks

G Said, A Ghani, A Ullah, A Alzahrani, M Azeem… - Scientific Reports, 2024 - nature.com
Abstract The Internet of Things (IoT) generates substantial data through sensors for diverse
applications, such as healthcare services. This article addresses the challenge of efficiently …

ESDedup: An efficient and secure deduplication scheme based on data similarity and blockchain for cloud-assisted medical storage systems

L Xiao, B Zou, C Zhu, F Nie - The Journal of Supercomputing, 2023 - Springer
With the explosive growth of medical data, the tendency to store medical data on cloud is
extremely widespread. However, large-scale medical data have put great pressure on cloud …

Decentralized and privacy sensitive data de-duplication framework for convenient big data management in cloud backup systems

J Gnana Jeslin, P Mohan Kumar - Symmetry, 2022 - mdpi.com
The number of customers transferring information to cloud storage has grown significantly,
with the rising prevalence of cloud computing. The rapidly rising data volume in the cloud …

eHotSnap: an efficient and hot distributed snapshots system for virtual machine cluster

B Li, L Cui, Z Hao, L Li, Y Liu, Y Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the popularity of IaaS clouds, many distributed and networked applications are running
in virtual machine cluster (VMC). The distributed snapshots of VMC are a practical approach …

A novel cloud workflow scheduling algorithm based on stable matching game theory

Z Jia, L Pan, X Liu, X Li - The Journal of Supercomputing, 2021 - Springer
Workflow scheduling is one of the most popular and challenging problems in cloud
computing. However, among the studies on cloud workflow scheduling, very few consider …

Secure client-side deduplication scheme for cloud with dual trusted execution environment

G Verma - IETE Journal of Research, 2023 - Taylor & Francis
Data deduplication is the process that eliminates excessive redundant data in a dataset to
improve storage and bandwidth utilization by significantly reducing the storage costs and …

Content-Defined Chunking Algorithms in Data Deduplication: Performance, Trade-Offs and Future-Oriented Techniques

SAA Hussein, RB Ahmad, N Yaakob… - … in Applied Sciences …, 2025 - semarakilmu.com.my
In the digital era, the exponential growth of data presents significant challenges for storage
efficiency and processing speed. This paper reviews Content-Defined Chunking (CDC), a …