Energy Efficiency of Embedded Controllers Through DVFS

Madala, Vimala; Chellamani, Ganesh Kumar

doi:10.1109/icaect60202.2024.10468931

2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) 2024

DOI: 10.1109/icaect60202.2024.10468931

|View full text |Cite

Energy Efficiency of Embedded Controllers Through DVFS

Vimala Madala,

Ganesh Kumar Chellamani

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Comprehensive Study of Load Balancing Approaches in Real-Time Multi-Core Systems for Mixed Real-Time Tasks

Jadon,

Kannan,

Kalaria

et al. 2024

IEEE Access

View full text Add to dashboard Cite

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. INDEX TERMSScheduling algorithms; Real-time systems; Priority-driven algorithms; EDF (Earliest Deadline First); RM (Rate-Monotonic); LBPSA (load balanced partitioning and scheduling algorithm); Homogenous multi-core; Heterogenous multi-core; Static algorithms; Dynamic algorithms.

show abstract

A Comprehensive Study of Load Balancing Approaches in Real-Time Multi-Core Systems for Mixed Real-Time Tasks

Jadon,

Kannan,

Kalaria

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Energy Efficiency of Embedded Controllers Through DVFS

Cited by 1 publication

References 10 publications

A Comprehensive Study of Load Balancing Approaches in Real-Time Multi-Core Systems for Mixed Real-Time Tasks

A Comprehensive Study of Load Balancing Approaches in Real-Time Multi-Core Systems for Mixed Real-Time Tasks

Contact Info

Product

Resources

About