Energy Efficient Computer Architecture for Edge Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 December 2026 | Viewed by 120
Editors
Interests: IoT; fault prediction; edge computing; embedded systems; electrical machines; predictive analysis; energy systems
Special Issues, Collections and Topics in MDPI journals
Interests: energy managemnt; machine learning; deep learning; optimization techniques
Special Issues, Collections and Topics in MDPI journals
Interests: network harmonic modeling; power quality; renewable energy systems; energy management systems; hosting capacity analysis; electromagnetic compatibility
Special Issue Information
Dear Colleagues,
The proposed Special Issue, “Energy Efficient Computer Architecture for Edge Computing”, focuses on the design, optimization, and evaluation of computing architectures that enable energy-efficient operation at the network edge. With the rapid proliferation of IoT devices, autonomous systems, and latency-sensitive applications, edge computing has become a critical component of modern computing infrastructures. However, achieving high computational performance while minimizing energy consumption remains a major challenge.
Focus, Scope, and Purpose:
Focus: This Special Issue emphasizes innovative architectural solutions, hardware–software co-design strategies, and novel energy-aware algorithms tailored for edge computing platforms.
Scope: Topics include, but are not limited to, low-power processor architectures, heterogeneous computing, accelerators for AI/ML workloads, memory and storage optimization, energy-aware task scheduling, and system-level energy modeling for edge devices. The scope also covers design methodologies, benchmarking, and real-world deployment studies.
Purpose: The collection aims to consolidate cutting-edge research that addresses the tension between computational demand and energy efficiency in edge environments, providing actionable insights for both researchers and practitioners.
Relation to Existing Literature:
While a substantial body of research exists on energy-efficient computing in cloud and high-performance computing environments, comparatively fewer studies address the unique constraints of edge computing—limited power budgets, variable workloads, and proximity to end-users. This Special Issue will complement the existing literature by targeting the architectural and systemic innovations that specifically enable sustainable, high-performance edge computing solutions.
Dr. Hadi A. Raja
Dr. Noman Shabbir
Dr. Kamran Daniel
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- edge computing
- energy efficiency
- low-power architectures
- heterogeneous computing
- AI accelerators
- hardware–software co-design
- task scheduling
- memory optimization
- energy-aware systems
- sustainable computing
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