A systematic review of energy management strategies for resource allocation in the cloud: Clustering, optimization and machine learning
S Jayaprakash, MD Nagarajan, RP Prado… - Energies, 2021 - mdpi.com
Nowadays, many organizations and individual users are employing cloud services
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …
Energy-aware scheduling for high-performance computing systems: A survey
High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …
performance, especially the execution time and scalability of the computations. However …
A comparative study of methods for measurement of energy of computing
Energy of computing is a serious environmental concern and mitigating it is an important
technological challenge. Accurate measurement of energy consumption during an …
technological challenge. Accurate measurement of energy consumption during an …
Bi-objective optimization of data-parallel applications on heterogeneous HPC platforms for performance and energy through workload distribution
Performance and energy are the two most important objectives for optimization on modern
parallel platforms. In this article, we show that moving from single-objective optimization for …
parallel platforms. In this article, we show that moving from single-objective optimization for …
Energy‐aware high‐performance computing: survey of state‐of‐the‐art tools, techniques, and environments
The paper presents state of the art of energy‐aware high‐performance computing (HPC), in
particular identification and classification of approaches by system and device types …
particular identification and classification of approaches by system and device types …
SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving
Energy-efficient computing uses power management techniques such as frequency scaling
to save energy. Implementing energy-efficient techniques on large-scale computing systems …
to save energy. Implementing energy-efficient techniques on large-scale computing systems …
Fine-grained powercap allocation for power-constrained systems based on multi-objective machine learning
Power capping is an important solution to keep the system within a fixed power constraint.
However, for the over-provisioned and power-constrained systems, especially the future …
However, for the over-provisioned and power-constrained systems, especially the future …
Reducing energy consumption using heterogeneous voltage frequency scaling of data-parallel applications for multicore systems
This paper investigates the exploitation of heterogeneous DVFS (dynamic voltage frequency
scaling) control for improving the energy efficiency of data-parallel applications on ccNUMA …
scaling) control for improving the energy efficiency of data-parallel applications on ccNUMA …
Performance of communication-and computation-intensive SaaS on the OpenStack cloud
O Bystrov, R Pacevič, A Kačeniauskas - Applied Sciences, 2021 - mdpi.com
Featured Application The presented performance analysis helps in evaluating the
infrastructure overhead and efficiently running communication-and computation-intensive …
infrastructure overhead and efficiently running communication-and computation-intensive …
Accurate and Reliable Energy Measurement and Modelling of Data Transfer between CPU and GPU in Parallel Applications on Heterogeneous Hybrid Platforms
HA Niaz, RR Manumachu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Developing energy-efficient software that leverages application-level energy optimization
techniques is essential to tackle the pressing technological challenge of energy efficiency on …
techniques is essential to tackle the pressing technological challenge of energy efficiency on …