A comprehensive study of load balancing approaches in real-time multi-core systems for mixed real-time tasks

Real-time systems are becoming pervasive with the growing global connectivity and rising consumer demands. The need for real-time processing has become a crucial part of many business applications worldwide. A key factor that determines the time taken for an application to give out the result hinges...

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Bibliographic Details
Published in:IEEE access Vol. 12; p. 1
Main Authors: Jadon, Shruti, Pradyuman, K.K., Kalaria, Urmil, Varsha, K.R., Gupta, Karthik, Honnavalli, Prasad B.
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Dynamic algorithms
EDF (Earliest Deadline First)
Fault tolerance
Heterogenous multi-core
Heuristic algorithms
Homogenous multi-core
LBPSA (load balanced partitioning and scheduling algorithm)
Load balancing
Load management
Microprocessors
Partitioning algorithms
Power efficiency
Priority-driven algorithms
Real time
Real-time systems
Resource utilization
RM (Rate-Monotonic)
Scheduling
Scheduling algorithms
Static algorithms
Task analysis
Workload
Workloads
ISSN:2169-3536, 2169-3536
Online Access:Get full text
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Summary:Real-time systems are becoming pervasive with the growing global connectivity and rising consumer demands. The need for real-time processing has become a crucial part of many business applications worldwide. A key factor that determines the time taken for an application to give out the result hinges on its ability to prioritize, manage, and execute real-time workloads. However, there are several difficulties and constraints connected with implementing tasks in a real-time context. This research study primarily focuses on load balancing for mixed real-time tasks on a multi-core system, one of the major challenges for executing real-time workloads. The purpose of load balancing is to distribute the load evenly among the processor(s) and maximize their utility while minimizing overall execution time. Several algorithms have been implemented in theory to improve performance and efficiency by distributing the system workload across multiple nodes. The goal of this paper is to present a critical analysis of existing load-balancing techniques for both periodic and aperiodic tasks. The paper explores several factors, including throughput, performance, migration time, response time, overhead, resource utilization, scalability, fault tolerance, power efficiency, and other variables that play a crucial role in assessing the efficacy of load balancing in real-time systems. This study also identifies areas that warrant further exploration or investigation, suggesting potential avenues for future research, and highlighting emerging trends or developments that may shape the field.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3388291