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AOEHO: A New Hybrid Data Replication Method in Fog Computing for IoT Application [PDF]
Sensors, 2023 Recently, the concept of the internet of things and its services has emerged with cloud computing. Cloud computing is a modern technology for dealing with big data to perform specified operations.
Ahmed awad Mohamed +3 more
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Improving Localization in Wireless Sensor Networks for the Internet of Things Using Data Replication-Based Deep Neural Networks [PDF]
SensorsLocalization is one of the most challenging problems in wireless sensor networks (WSNs), primarily driven by the need to develop an accurate and cost-effective localization system for Internet of Things (IoT) applications.
Jehan Esheh, Sofiene Affes
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DATA REPLICATION IN DISTRIBUTED ENVIRONMENTS [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2010 Distributed system model best suits on the organizational structure of companies that, because of their business needs, are geographically distributed.
Nicoleta IACOB
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A Data Replication Algorithm for Improving Server Efficiency in Cloud Computing Using PSO and Fuzzy Systems [PDF]
Computer and Knowledge Engineering, 2023 In different scientific disciplines, large-scale data are generated with enormous storage requirements. Therefore, effective data management is a critical issue in distributed systems such as the cloud.
Mostafa Sabzekar +2 more
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Replicating File Segments between Multi-Cloud Nodes in a Smart City: A Machine Learning Approach
Sensors, 2023 The design and management of smart cities and the IoT is a multidimensional problem. One of those dimensions is cloud and edge computing management. Due to the complexity of the problem, resource sharing is one of the vital and major components that when
Nour Mostafa +4 more
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Replicating data pipelines with GrimoireLab
Proceedings of the 19th International Conference on Mining Software Repositories, 2022 In this paper, we present our MSR Hackathon 2022 project that replicates an existing Gitter study using GrimoireLab. We compare the previous study's pipeline with our GrimoireLab implementation in terms of speed, data consistency, organization, and the learning curve to get started. We believe our experience with GrimoireLab can help future researchers
Kalvin Eng, Hareem Sahar
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Online Task Scheduling of Big Data Applications in the Cloud Environment
Information, 2023 The development of big data has generated data-intensive tasks that are usually time-consuming, with a high demand on cloud data centers for hosting big data applications. It becomes necessary to consider both data and task management to find the optimal
Laila Bouhouch +2 more
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Future Internet, 2022 Over the past few years, increasing attention has been given to the health sector and the integration of new technologies into it. Cloud computing and storage clouds have become essentially state of the art solutions for other major areas and have ...
Chrysostomos Symvoulidis +4 more
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Data replication in Mariposa [PDF]
Proceedings of the Twelfth International Conference on Data Engineering, 2002 The Mariposa distributed data manager uses an economic model for managing the allocation of both storage objects and queries to servers. We present extensions to the economic model which support replica management, as well as our mechanisms for propagating updates among replicas.
Jeff Sidell +5 more
openaire +2 more sources
A Predictive Multi-Tenant Database Migration and Replication in the Cloud Environment
IEEE Access, 2021 With the rapid adoption of multi-tenant databases, the cloud provider consolidates multiple tenants’ database on server machines, where the tenants share a common application and database instances.
Ahmed E. Abdel Raouf +2 more
doaj +1 more source