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Title: :  Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications
PaperId: :  27089
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 4 2025
DUI:    16.0415/IJARIIE-27089
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dhanush MCMR University

Abstract

Computer Applications
Edge computing, task offloading, resource allocation, real-time IoT applications, mobile edge computing (MEC), latency reduction, energy efficiency, scheduling algorithms, fairness-aware allocation, ultra-dense networks, bandwidth optimization, low-latency communication, quality of service (QoS), distributed computing, edge intelligence, context-aware computing, dynamic resource management, vehicular edge computing, cloud-edge collaboration, multi-access edge computing (MAEC).
This research investigates strategies to optimize resource allocation and task offloading in Edge Computing environments for real-time Internet of Things (IoT) applications. As IoT devices continue to proliferate, edge computing has emerged as a vital approach to meet demands for low latency and real-time responsiveness. However, limited computational and energy resources at edge nodes pose significant challenges. This study reviews existing algorithms and proposes a hybrid offloading framework that combines heuristic-based task scheduling with AI-driven resource prediction. Simulations were conducted using a testbed of emulated IoT devices and edge nodes under variable workloads and network conditions. The results demonstrate a noticeable improvement in processing delay, energy consumption, and resource utilization compared to static or cloud-only approaches. By enhancing decision-making at the edge, this paper contributes to the growing body of work aiming to make distributed computing more intelligent, sustainable, and responsive to real-world constraints in IoT environments.

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IJARIIE Dhanush M. "Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 4 2025 Page 555-559
MLA Dhanush M. "Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications." International Journal Of Advance Research And Innovative Ideas In Education 11.4(2025) : 555-559.
APA Dhanush M. (2025). Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications. International Journal Of Advance Research And Innovative Ideas In Education, 11(4), 555-559.
Chicago Dhanush M. "Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 4 (2025) : 555-559.
Oxford Dhanush M. 'Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, 2025, p. 555-559. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Optimizing_Resource_Allocation_and_Task_Offloading_for_Real_Time_IoT_Applications_ijariie27089.pdf (Accessed : ).
Harvard Dhanush M. (2025) 'Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications', International Journal Of Advance Research And Innovative Ideas In Education, 11(4), pp. 555-559IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Optimizing_Resource_Allocation_and_Task_Offloading_for_Real_Time_IoT_Applications_ijariie27089.pdf (Accessed : )
IEEE Dhanush M, "Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, pp. 555-559, Jul-Aug 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Optimizing_Resource_Allocation_and_Task_Offloading_for_Real_Time_IoT_Applications_ijariie27089.pdf [Accessed : ].
Turabian Dhanush M. "Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 4 ().
Vancouver Dhanush M. Optimizing Resource Allocation and Task Offloading for Real-Time IoT Applications. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(4) : 555-559. Available from: http://ijariie.com/AdminUploadPdf/Optimizing_Resource_Allocation_and_Task_Offloading_for_Real_Time_IoT_Applications_ijariie27089.pdf
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