Data replication optimization using simulated annealing

CK Wee, R Nayak - Data Mining: 17th Australasian Conference, AusDM …, 2019 - Springer
Data replication is ubiquitous in a large organization where multiple IT systems need to
share information for their operation. This function is usually fulfilled by an enterprise …

Adaptive data replication optimization based on reinforcement learning

CK Wee, R Nayak - 2020 IEEE symposium series on …, 2020 - ieeexplore.ieee.org
Data replication plays an important role in enterprise IT landscapes, where data is shared
among multiple IT systems. IT administrators need to tune the replicating software's …

[PDF][PDF] A Hybrid Heuristic Algorithm Using Artificial Agents for Data Replication Problem in Distributed Systems. Symmetry 2023, 15, 487

B Arasteh, SS Sefati, S Halunga, O Fratu… - 2023 - academia.edu
One of the key issues with large distributed systems, such as IoT platforms, is gaining timely
access to data objects. As a result, decreasing the operation time of reading and writing data …

[PDF][PDF] Design of Scenario-based Application-optimized Data Replication Strategies through Genetic Programming.

SMA Bokhari, OE Theel - ICAART (2), 2020 - academia.edu
A distributed system is a paradigm which is indispensable to the current world due to
countless requests with every passing second. Therefore, in distributed computing, high …

A discrete heuristic algorithm with swarm and evolutionary features for data replication problem in distributed systems

B Arasteh, T Allahviranloo, P Funes… - Neural Computing and …, 2023 - Springer
Availability and accessibility of data objects in a reasonable time is a main issue in
distributed systems like cloud computing services. As a result, the reduction of data-related …

A Prediction-Based Replication Algorithm for Improving Data Availability in Frid Environment

N Mansouri - Journal of Telecommunication, Electronic and …, 2014 - jtec.utem.edu.my
Data replication is a key optimization technique for reducing access latency and managing
large data by storing replica of data in a wisely manner. In this paper, we propose a data …

Designing New Data Replication Strategies Automatically

SMA Bokhari, O Theel - Agents and Artificial Intelligence: 12th International …, 2021 - Springer
A distributed system is a paradigm indispensable to the current world due to countless
requests with every passing second. In distributed systems, reliability is of extreme …

[PDF][PDF] Heterogeneous data replication

P Haase - 2000 - eprints.dbis.informatik.uni-rostock.de
Today, more and more business applications are being designed to run in distributed
computing environments. In these environments, data replication is a key to effectively …

A systematic literature review of recent trends in replication techniques

AL Alanazi, AM Mostafa… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Nowadays, most software systems manage large amount of data. The clients depend
heavily on these data and expect them to be available at all times. To use and manage …

A hybrid heuristic algorithm using artificial agents for data replication problem in distributed systems

B Arasteh, SS Sefati, S Halunga, O Fratu… - Symmetry, 2023 - mdpi.com
One of the key issues with large distributed systems, such as IoT platforms, is gaining timely
access to data objects. As a result, decreasing the operation time of reading and writing data …