Managing overloaded hosts for energy-efficiency in cloud data centers
Traditional data centers are shifted toward the cloud computing paradigm. These data
centers support the increasing demand for computational and data storage that consumes a …
centers support the increasing demand for computational and data storage that consumes a …
Deepee: Joint optimization of job scheduling and cooling control for data center energy efficiency using deep reinforcement learning
The past decade witnessed the tremendous growth of power consumption in data centers
due to the rapid development of cloud computing, big data analytics, and machine learning …
due to the rapid development of cloud computing, big data analytics, and machine learning …
Energy-efficient VM scheduling based on deep reinforcement learning
B Wang, F Liu, W Lin - Future Generation Computer Systems, 2021 - Elsevier
Achieving data center resource optimization and QoS guarantee driven by high energy
efficiency has become a research hotspot. However, QoS information directly sampled from …
efficiency has become a research hotspot. However, QoS information directly sampled from …
Energy and network aware workload management for geographically distributed data centers
Cloud service providers are distributing data centers geographically to minimize energy
costs through intelligent workload distribution. With increasing data volumes in emerging …
costs through intelligent workload distribution. With increasing data volumes in emerging …
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 …
A taxonomy and future directions for sustainable cloud computing: 360 degree view
The cloud-computing paradigm offers on-demand services over the Internet and supports a
wide variety of applications. With the recent growth of Internet of Things (IoT)--based …
wide variety of applications. With the recent growth of Internet of Things (IoT)--based …
DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers
Cloud computing has become an attractive computing paradigm in both academia and
industry. Through virtualization technology, Cloud Service Providers (CSPs) that own data …
industry. Through virtualization technology, Cloud Service Providers (CSPs) that own data …
Holistic virtual machine scheduling in cloud datacenters towards minimizing total energy
Energy consumed by Cloud datacenters has dramatically increased, driven by rapid uptake
of applications and services globally provisioned through virtualization. By applying energy …
of applications and services globally provisioned through virtualization. By applying energy …
A big data-enabled consolidated framework for energy efficient software defined data centers in IoT setups
The rapidly evolving industry standards and transformative advances in the field of Internet
of Things are expected to create a tsunami of Big Data shortly. This, in turn, will demand real …
of Things are expected to create a tsunami of Big Data shortly. This, in turn, will demand real …
Twig: Multi-agent task management for colocated latency-critical cloud services
Many of the important services running on data centres are latency-critical, time-varying, and
demand strict user satisfaction. Stringent tail-latency targets for colocated services and …
demand strict user satisfaction. Stringent tail-latency targets for colocated services and …