Profit-maximized collaborative computation offloading and resource allocation in distributed cloud and edge computing systems
Edge computing is a new architecture to provide computing, storage, and networking
resources for achieving the Internet of Things. It brings computation to the network edge in …
resources for achieving the Internet of Things. It brings computation to the network edge in …
Optimizing resource utilization of a data center
To provision IT solutions with reduced operating expenses, many businesses are moving
their IT infrastructures into public data centers or are starting to build their own private data …
their IT infrastructures into public data centers or are starting to build their own private data …
Biobjective task scheduling for distributed green data centers
The industry of data centers is the fifth largest energy consumer in the world. Distributed
green data centers (DGDCs) consume 300 billion kWh per year to provide different types of …
green data centers (DGDCs) consume 300 billion kWh per year to provide different types of …
Research advances on AI-powered thermal management for data centers
H Liu, AS Aljbri, J Song, J Jiang… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
Given the complex nature of data centers' thermal management, which costs too many
resources, processing time, and energy consumption, thermal awareness and thermal …
resources, processing time, and energy consumption, thermal awareness and thermal …
Joint data center cooling and workload management: A thermal-aware approach
SM MirhoseiniNejad, H Moazamigoodarzi… - Future Generation …, 2020 - Elsevier
Abstract Information technology (IT) equipment and cooling infrastructure are key
contributors to the total energy expenditure in a data center. There is typically significant …
contributors to the total energy expenditure in a data center. There is typically significant …
Spatial task scheduling for cost minimization in distributed green cloud data centers
The infrastructure resources in distributed green cloud data centers (DGCDCs) are shared
by multiple heterogeneous applications to provide flexible services to global users in a high …
by multiple heterogeneous applications to provide flexible services to global users in a high …
Holistic thermal-aware workload management and infrastructure control for heterogeneous data centers using machine learning
Two key contributors to the energy expenditure in data centers are information technology
(IT) equipment and cooling infrastructures. The standard practice of data centers lacks a tight …
(IT) equipment and cooling infrastructures. The standard practice of data centers lacks a tight …
Spatiotemporal task scheduling for heterogeneous delay-tolerant applications in distributed green data centers
A growing number of organizations deploy multiple heterogeneous applications in
infrastructures of distributed green data centers (DGDCs) to flexibly provide services to users …
infrastructures of distributed green data centers (DGDCs) to flexibly provide services to users …
Thermal-aware energy management of an HPC data center via two-time-scale control
This paper presents a two-time-scale control method to optimize the energy consumption of
high-performance-computing data centers through dynamic frequency scaling of processors …
high-performance-computing data centers through dynamic frequency scaling of processors …
A power and thermal-aware virtual machine management framework based on machine learning
P Xiao, Z Ni, D Liu, Z Hu - Cluster Computing, 2021 - Springer
Energy consumption in data centers grows rapidly in recent years. As a widely-applied
energy-efficient method, workload consolidation also has its own limitations that may bring …
energy-efficient method, workload consolidation also has its own limitations that may bring …