Skip to Main content Skip to Navigation
Journal articles

An Architecture of Thin Client in Internet of Things and Efficient Resource Allocation in Cloud for Data Distribution

Abstract : These days, Thin-client devices are continuously accessing the Internet to perform/receive diversity of services in the cloud. However these devices might either has lack in their capacity (e.g., processing, CPU, memory, storage, battery, resource allocation, etc) or in their network resources which is not sufficient to meet users satisfaction in using Thin-client services. Furthermore, transferring big size of Big Data over the network to centralized server might burden the network, cause poor quality of services, cause long respond delay, and inefficient use of network resources. To solve this issue, Thin-client devices such as smart mobile device should be connected to edge computing which is a localized near to user location and more powerful to perform computing or network resources. In this paper, we introduce a new method that constructs its architecture on Thin-client-edge computing collaboration. Furthermore, present our new strategy for optimizing big data distribution in cloud computing. Moreover, we propose algorithm to allocate resources to meet Service Level Agreement (SLA) and Quality of Service (QoS) requirements. Our simulation result shows that our proposed approach can improve resource allocation efficiently and shows better performance than other existing methods.
Complete list of metadatas

Cited literature [25 references]  Display  Hide  Download

https://telearn.archives-ouvertes.fr/hal-02931474
Contributor : Phamhung Phuoc <>
Submitted on : Sunday, September 6, 2020 - 11:48:39 PM
Last modification on : Wednesday, September 9, 2020 - 2:37:57 PM

File

An Architecture of Thin Client...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02931474, version 1

Collections

Citation

Aymen Abdullah, Phuoc Phamhung, Eui Namhuh. An Architecture of Thin Client in Internet of Things and Efficient Resource Allocation in Cloud for Data Distribution. The International Arab Journal of Information Technology, 2017, 14. ⟨hal-02931474⟩

Share

Metrics

Record views

25

Files downloads

20