Cost-aware job scheduling for cloud instances using deep reinforcement learning
As the services provided by cloud vendors are providing better performance, achieving auto-
scaling, load-balancing, and optimized performance along with low infrastructure …
scaling, load-balancing, and optimized performance along with low infrastructure …
Game theoretical approach for load balancing using SGMLB model in cloud environment
On-demand cloud computing is one of the rapidly evolving technologies that is being widely
used in the industries now. With the increase in IoT devices and real-time business analytics …
used in the industries now. With the increase in IoT devices and real-time business analytics …
[PDF][PDF] Systematic literature review on resource allocation and resource scheduling in cloud computing
BM Lavanya, CS Bindu - international Journal of Advanced …, 2016 - researchgate.net
The objective the work is intend to highlight the key features and afford finest future
directions in the research community of Resource Allocation, Resource Scheduling and …
directions in the research community of Resource Allocation, Resource Scheduling and …
Comparative study on job scheduling using priority rule and machine learning
Cloud computing is a potential technique for running resource-intensive applications on a
wide scale. Implementation of a suitable scheduling algorithm is critical in order to properly …
wide scale. Implementation of a suitable scheduling algorithm is critical in order to properly …
Analysis of load balancing algorithms using cloud analyst
Cloud computing delivers the services of cloud efficiently and effectively on pay-per usage
basis to consumers. As the number of consumers and requests for the services are …
basis to consumers. As the number of consumers and requests for the services are …
Reducing the carbon emission by early prediction of peak time load in a data center
Predicting the peak time load among data center and distributing the load will minimize the
usage of the power consumption and also will minimize the carbon emission from data …
usage of the power consumption and also will minimize the carbon emission from data …
Comparison study of load balancing algorithm
Cloud computing is in vogue and, playing a compelling role in internet world. The cloud
computing is an enumerate version of grid and cluster computing. Cloud computing are …
computing is an enumerate version of grid and cluster computing. Cloud computing are …
Enhancement of task scheduling technique of big data cloud computing
DS Shubair - 2018 International Conference on Advances in …, 2018 - ieeexplore.ieee.org
Big Data refers to the large size chunks of data that traditional computing approaches can
handle. Despite the truth of having huge cloud systems to manage this data nowadays, there …
handle. Despite the truth of having huge cloud systems to manage this data nowadays, there …
A survey on static and dynamic load balancing algorithms in cloud computing
L Mukati, A Upadhyay - … in Interdisciplinary Trends in Engineering & …, 2019 - papers.ssrn.com
Cloud computing is the most reliable, proficient and useful in today's world of technology.
Cloud computing is a technique which consists of various software and web-enabled …
Cloud computing is a technique which consists of various software and web-enabled …
A Survey on Efficient Utilization of Virtual Machines in Cloud Computing
KP Singh, A Verma, A Kumar… - … for Sustainability and …, 2024 - ieeexplore.ieee.org
This survey paper delves into the effective utilization of virtual machines (VMs) in cloud
computing. It underscores the significance of VM usage in both cloud computing technology …
computing. It underscores the significance of VM usage in both cloud computing technology …