[HTML][HTML] Container scheduling techniques: A survey and assessment

I Ahmad, MG AlFailakawi, A AlMutawa… - Journal of King Saud …, 2022 - Elsevier
Containers have emerged as the most promising lightweight virtualization technology in
providing cloud services due to its flexible deployment, portability, and scalability especially …

Artificial intelligence applications and self-learning 6G networks for smart cities digital ecosystems: Taxonomy, challenges, and future directions

L Ismail, R Buyya - Sensors, 2022 - mdpi.com
The recent upsurge of smart cities' applications and their building blocks in terms of the
Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data …

Minimizing SLA violation and power consumption in Cloud data centers using adaptive energy-aware algorithms

Z Zhou, J Abawajy, M Chowdhury, Z Hu, K Li… - Future Generation …, 2018 - Elsevier
In this paper, we address the problem of reducing Cloud datacenter high energy
consumption with minimal Service Level Agreement (SLA) violation. Although there are …

Green cloud computing using proactive virtual machine placement: challenges and issues

M Masdari, M Zangakani - Journal of Grid Computing, 2020 - Springer
Efficient VM management is very crucial for energy saving, increasing profit, and preventing
SLA violations. VM placement schemes can be classified into reactive and …

A taxonomy and future directions for sustainable cloud computing: 360 degree view

SS Gill, R Buyya - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
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 …

Toward energy-efficient cloud computing: a survey of dynamic power management and heuristics-based optimization techniques

N Khattar, J Sidhu, J Singh - The Journal of Supercomputing, 2019 - Springer
Cloud computing is the most prominent computing paradigm in the present era of
information technology. However, data centers needed for hosting cloud services demand …

An energy-efficient in-network computing paradigm for 6G

N Hu, Z Tian, X Du, M Guizani - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
In the 6G network era, energy-efficient computing means higher resource utilization and
lower energy consumption. The traditional computing model regards the network as a …

Resource scheduling methods in cloud and fog computing environments: a systematic literature review

A Rahimikhanghah, M Tajkey, B Rezazadeh… - Cluster …, 2022 - Springer
In recent years, cloud computing can be considered an emerging technology that can share
resources with users. Because cloud computing is on-demand, efficient use of resources …

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 …

Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge

SS Gill, P Garraghan, V Stankovski, G Casale… - Journal of Systems and …, 2019 - Elsevier
Minimizing the energy consumption of servers within cloud computing systems is of upmost
importance to cloud providers toward reducing operational costs and enhancing service …