Efficient prediction of makespan matrix workflow scheduling algorithm for heterogeneous cloud environments

L Zhang, M Ai, R Tan, J Man, X Deng, K Li - Journal of Grid Computing, 2023 - Springer
Leveraging a cloud computing environment for executing workflow applications offers high
flexibility and strong scalability, thereby significantly improving resource utilization. Current …

Binary search-based fast scheduling algorithms for reliability-aware energy-efficient task graph scheduling with fault tolerance

SK Biswas, PK Muhuri, UK Roy - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Among the available processor-level energy savings schemes, dynamic voltage and
frequency scaling (DVFS) is very popular and effective due to its widespread cross-platform …

Scheduling energy-constrained parallel applications in heterogeneous systems

H Xu, B Zhang, C Pan, K Li - Future Generation Computer Systems, 2025 - Elsevier
With the rapid development of information technology, efficient energy utilization has
become a major challenge in modern computing system design. This paper focuses on the …

Carbon-aware Software Services

S Forti, J Soldani, A Brogi - … Conference on Service-Oriented and Cloud …, 2025 - Springer
The significant carbon footprint of the ICT sector calls for methodologies to contain carbon
emissions of running software. This article proposes a novel framework for implementing …

Reliability/performance-aware scheduling for parallel applications with energy constraints on heterogeneous computing systems

J Peng, K Li, J Chen, K Li - IEEE Transactions on Sustainable …, 2022 - ieeexplore.ieee.org
Heterogeneous Computing Systems (HCSs) have developed rapidly due to their high
performance and low cost, and have been adopted by more and more applications. Energy …

BackFillMe: An Energy and Performance Efficient Virtual Machine Scheduler for IaaS Datacenters

M Zakarya, L Gillam, MRC Qazani… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
Backfilling refers to the practice of allowing small jobs to be completed ahead of schedule as
long as they do not cause the first job in the line to wait. Users are expected to offer …

Enhancing security and energy efficiency of cyber-physical systems using deep reinforcement learning

S Jamshidi, A Amirnia, A Nikanjam, F Khomh - Procedia Computer Science, 2024 - Elsevier
In the era of Industry 4.0, achieving both energy efficiency and robust security in Cyber-
Physical Systems (CPSs) presents a significant challenge because of the resource …

A teg-based non-intrusive ultrasonic system for autonomous water flow rate measurement

S Mileiko, O Cetinkaya, D Mackie… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Residential water meters accommodate various methods of power provisioning.
Electromagnetic and ultrasonic meters, for example, often rely on a battery-like external …

A machine learning based context-aware prediction framework for edge computing environments

K Djemame, A Aljulayfi - Proceedings of the 12th …, 2021 - eprints.whiterose.ac.uk
A Context-aware Prediction Framework (CAPF) can be provided through a Self-adaptive
System (SAS) resource manager to support the autoscaling decision in Edge Computing …