Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends

EH Houssein, AG Gad, YM Wazery… - Swarm and Evolutionary …, 2021 - Elsevier
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research

MS Aslanpour, SS Gill, AN Toosi - Internet of Things, 2020 - Elsevier
Optimization is an inseparable part of Cloud computing, particularly with the emergence of
Fog and Edge paradigms. Not only these emerging paradigms demand reevaluating cloud …

Autopilot: workload autoscaling at google

K Rzadca, P Findeisen, J Swiderski, P Zych… - Proceedings of the …, 2020 - dl.acm.org
In many public and private Cloud systems, users need to specify a limit for the amount of
resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits …

Machine learning based workload prediction in cloud computing

J Gao, H Wang, H Shen - 2020 29th international conference …, 2020 - ieeexplore.ieee.org
As a widely used IT service, more and more companies shift their services to cloud
datacenters. It is important for cloud service providers (CSPs) to provide cloud service …

Resource central: Understanding and predicting workloads for improved resource management in large cloud platforms

E Cortez, A Bonde, A Muzio, M Russinovich… - Proceedings of the 26th …, 2017 - dl.acm.org
Cloud research to date has lacked data on the characteristics of the production virtual
machine (VM) workloads of large cloud providers. A thorough understanding of these …

A survey on FinTech

K Gai, M Qiu, X Sun - Journal of Network and Computer Applications, 2018 - Elsevier
As a new term in the financial industry, FinTech has become a popular term that describes
novel technologies adopted by the financial service institutions. This term covers a large …

Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy

D Soni, N Kumar - Journal of Network and Computer Applications, 2022 - Elsevier
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

Data center energy consumption modeling: A survey

M Dayarathna, Y Wen, R Fan - IEEE Communications surveys …, 2015 - ieeexplore.ieee.org
Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …

Elasticity in cloud computing: state of the art and research challenges

Y Al-Dhuraibi, F Paraiso, N Djarallah… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Elasticity is a fundamental property in cloud computing that has recently witnessed major
developments. This article reviews both classical and recent elasticity solutions and …

Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation

J Dai, K He, J Sun - … of the IEEE international conference on …, 2015 - openaccess.thecvf.com
Recent leading approaches to semantic segmentation rely on deep convolutional networks
trained with human-annotated, pixel-level segmentation masks. Such pixel-accurate …