An Extensive Data Exchange Approach among Cloudlets in Multi-Cloudlet Mobile Cloud Computing Environment
Year: 2025
Type: article
Abstract: The use of portable devices is staggeringly increased in the past decade with it comes many compute intensive applications and services such as image processing and online gaming. Even though these devices support user’s mobility efficiently they also have some limitations that include limited battery energy, lower processing capacity and limited storage space compared to the common stationed computing devices. A cloudlet-based mobile cloud computing architecture is introduced to circumvent the limitations of these devices. A cloudlet is a single or cluster of computers that allow users to offload their compute intensive applications thus the cloudlets process the applications and return the output back to the users. The cloudlets are connected with remote cloud servers so they can upload and download services and files their user’s request. Cloudlet based architecture should support mobility of the users while accessing the services. Multiple cloudlets must be deployed in nearby locations to offer their service on multiple locations. To support user’s mobility a data exchange approach among these cloudlets is required. The data exchange helps the cloudlets to distinguish other cloudlets activity. In this research work, a new data exchange approach is proposed aiming to improve the data flow. The approach offers some methods for predicting the user’s next location as well as predicting user hosting capacity of other cloudlets. The approach is designed to provide high quality cloudlet services and other location dependent services while facilitating mobility of the user’s that are accessing the system. It also reduces the delay time associated with the movement of the users. The proposed system is implemented and tested on CloudSim and CloudExp simulation tools.
DOI: 10.20372/nadre:12669
Author: Haile-eyesus Tassew
Institution: Dilla University
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6944636013
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