Thermal prediction for efficient energy management of clouds using machine learning
S Ilager, K Ramamohanarao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Thermal management in the hyper-scale cloud data centers is a critical problem. Increased
host temperature creates hotspots which significantly increases cooling cost and affects …
host temperature creates hotspots which significantly increases cooling cost and affects …
Market-oriented online bi-objective service scheduling for pleasingly parallel jobs with variable resources in cloud environments
B Zheng, L Pan, S Liu - Journal of Systems and Software, 2021 - Elsevier
In this paper, we study the market-oriented online bi-objective service scheduling problem
for pleasingly parallel jobs with variable resources in cloud environments, from the …
for pleasingly parallel jobs with variable resources in cloud environments, from the …
Server temperature prediction using deep neural networks to assist thermal-aware scheduling
Thermal-Aware (TA) scheduling is a primitive thermal-management tool to avoid hotspots
and attain a better thermal profile inside data centers. However, TA scheduling depends on …
and attain a better thermal profile inside data centers. However, TA scheduling depends on …
Improving task scheduling with parallelism awareness in heterogeneous computational environments
B Wang, Y Song, J Cao, X Cui, L Zhang - Future Generation Computer …, 2019 - Elsevier
Task scheduling is a key function for executing tasks in heterogeneous computational
environments, efficiently. While the available computing resources are not fully used when …
environments, efficiently. While the available computing resources are not fully used when …
On the maturity of parallel applications for asymmetric multi-core processors
Asymmetric multi-cores (AMCs) are a successful architectural solution for both mobile
devices and supercomputers. By maintaining two types of cores (fast and slow) AMCs are …
devices and supercomputers. By maintaining two types of cores (fast and slow) AMCs are …
Thermal-aware adaptive VM allocation considering server locations in heterogeneous data centers
Virtualized data centers usually consist of heterogeneous servers which have different
specifications (performance). Though there usually exist unused heterogeneous servers in …
specifications (performance). Though there usually exist unused heterogeneous servers in …
Temperature-aware adaptive VM allocation in heterogeneous data centers
Virtualized data centers usually consist of heterogeneous servers which have different
specifications (performance). Though there are usually a number of unused servers with …
specifications (performance). Though there are usually a number of unused servers with …
Power and temperature-aware workflow scheduling considering deadline constraint in cloud
Cloud data centers consume substantial amount of energy to meet up the growing demand
of cloud resources. Recently, increase in enormous data processing and computing in data …
of cloud resources. Recently, increase in enormous data processing and computing in data …
Operating liquid-cooled large-scale systems: Long-term monitoring, reliability analysis, and efficiency measures
The past decade has seen a rise in the use of liquid cooling due to its energy efficiency.
While many previous works have helped make progress toward improving data center …
While many previous works have helped make progress toward improving data center …
Using monitoring data to improve hpc performance via network-data-driven allocation
On high-performance computing (HPC) systems, job allocation strategies control the
placement of a job among available nodes. As the placement changes a job's …
placement of a job among available nodes. As the placement changes a job's …