Critical analysis of resource sharing and optimization in fog clustering

HEZEKIAH SAMWINI; MOHSIN RAZA; ELLA PEREIRA; UMAR KHAN; MUHAMMAD AWAIS

doi:10.1109/ICETST62952.2024.10737978

Critical analysis of resource sharing and optimization in fog clustering

HEZEKIAH SAMWINI
, MOHSIN RAZA
, ELLA PEREIRA
, UMAR KHAN
, MUHAMMAD AWAIS

University of East Anglia

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

70 Downloads (Pure)

Abstract

Fog computing aims to process data closer to its source to reduce latency and enhance application performance. However, the integration of an additional fog layer introduces complexities in resource management and service guarantees.
This paper critically analyzes resource sharing and optimization in fog clustering, focusing on adaptive middleware designed to manage resources within and across fog clusters. We present a novel middleware architecture that facilitates efficient load balancing, task scheduling, and inter-cluster communication. The middleware’s performance is evaluated through simulations using OMNeT++, highlighting improvements in response time and resource utilization compared to traditional cloud processing.

Original language	English
Title of host publication	3rd International Conference on Emerging Trends in Smart Technologies
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	979-8-3315-1585-0
ISBN (Print)	979-8-3315-1586-7
DOIs	https://doi.org/10.1109/ICETST62952.2024.10737978
Publication status	Published - 6 Nov 2024

Keywords

Processor scheduling
Simulation
Load management
Market research
Real-time systems
Resource management
Time factors
Middleware
Optimization
Edge computing

Access to Document

10.1109/ICETST62952.2024.10737978

IEEE_Conference_Fog_Middleware_ClusteringAccepted author manuscript, 622 KBLicence: CC BY

Middleware for resource sharing in fog computing with IoT applications
SAMWINI, H., AWAIS, M. & PEREIRA, E., 7 Aug 2023, IEEE EUROCON 2023 - 20th IEEE Conference on Smart Technologies. IEEE, p. 1-6 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
2 Link opens in a new tab Citations (Scopus)

164 Downloads (Pure)

Role of Middleware in Improving Reliability of Fog Applications
SAMWINI, H. (Author), PEREIRA, E. (Director of Studies), RAZA, M. (Supervisor) & KHAN, U. (Supervisor), 19 Jun 2025
Student thesis: Doctoral Thesis

File

Cite this

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title = "Critical analysis of resource sharing and optimization in fog clustering",

abstract = "Fog computing aims to process data closer to its source to reduce latency and enhance application performance. However, the integration of an additional fog layer introduces complexities in resource management and service guarantees. This paper critically analyzes resource sharing and optimization in fog clustering, focusing on adaptive middleware designed to manage resources within and across fog clusters. We present a novel middleware architecture that facilitates efficient load balancing, task scheduling, and inter-cluster communication. The middleware{\textquoteright}s performance is evaluated through simulations using OMNeT++, highlighting improvements in response time and resource utilization compared to traditional cloud processing.",

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AB - Fog computing aims to process data closer to its source to reduce latency and enhance application performance. However, the integration of an additional fog layer introduces complexities in resource management and service guarantees. This paper critically analyzes resource sharing and optimization in fog clustering, focusing on adaptive middleware designed to manage resources within and across fog clusters. We present a novel middleware architecture that facilitates efficient load balancing, task scheduling, and inter-cluster communication. The middleware’s performance is evaluated through simulations using OMNeT++, highlighting improvements in response time and resource utilization compared to traditional cloud processing.

KW - Processor scheduling

KW - Simulation

KW - Load management

KW - Market research

KW - Real-time systems

KW - Resource management

KW - Time factors

KW - Middleware

KW - Optimization

KW - Edge computing

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EP - 6

BT - 3rd International Conference on Emerging Trends in Smart Technologies

PB - IEEE

ER -

Critical analysis of resource sharing and optimization in fog clustering

Abstract

Keywords

Access to Document

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Research output

Middleware for resource sharing in fog computing with IoT applications

Student theses

Role of Middleware in Improving Reliability of Fog Applications

Cite this