DRL-scheduling: An intelligent QoS-aware job scheduling framework for applications in clouds

Y Wei, L Pan, S Liu, L Wu, X Meng - IEEE access, 2018 - ieeexplore.ieee.org
As an increasing number of traditional applications migrated to the cloud, achieving
resource management and performance optimization in such a dynamic and uncertain …

Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning

L Cheng, A Kalapgar, A Jain, Y Wang, Y Qin… - Neural Computing and …, 2022 - Springer
Hybrid cloud computing enables enterprises to get the best of both private and public cloud
models. One of its primary benefits is to reduce operational costs, and the prerequisite is that …

A survey on spot pricing in cloud computing

D Kumar, G Baranwal, Z Raza, DP Vidyarthi - Journal of Network and …, 2018 - Springer
Amazon offers spot instances to cloud customers using an auction-like mechanism. These
instances are dynamically priced and offered at a lower price with less guarantee of …

A reinforcement learning based auto‐scaling approach for SaaS providers in dynamic cloud environment

Y Wei, D Kudenko, S Liu, L Pan, L Wu… - Mathematical …, 2019 - Wiley Online Library
Cloud computing is an emerging paradigm which provides a flexible and diversified trading
market for Infrastructure‐as‐a‐Service (IaaS) providers, Software‐as‐a‐Service (SaaS) …

Real-Time Cost Optimization Approach Based on Deep Reinforcement Learning in Software-Defined Security Middle Platform

Y Li, Y Qin - Information, 2023 - mdpi.com
In today's business environment, reducing costs is crucial due to the variety of Internet of
Things (IoT) devices and security infrastructure. However, applying security measures to …

Price forecasting for spot instances in Cloud computing

Z Cai, X Li, R Ruiz, Q Li - Future Generation Computer Systems, 2018 - Elsevier
Big data applications usually need to rent a large number of virtual machines from Cloud
computing providers. As a result of the policies employed by Cloud providers, the prices of …

A survey on optimal utilization of preemptible VM instances in cloud computing

AK Mishra, BK Umrao, DK Yadav - The Journal of Supercomputing, 2018 - Springer
In this article, an extensive survey on optimal utilization of preemptible instances in cloud is
presented. Different techniques used in state-of-the-art research for efficient utilization of …

Blockchain-enabled computing resource trading: A deep reinforcement learning approach

Z **e, R Wu, M Hu, H Tian - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Driven by the vision of the Internet of Things (IoT) under the fifth-generation (5G) wireless
network, computing resource trading attracts numerous attention from both academia and …

Engineering a QoS provider mechanism for edge computing with deep reinforcement learning

F Carpio, A Jukan, R Sosa… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
With the development of new system solutions that integrate traditional cloud computing with
the edge/fog computing paradigm, dynamic optimization of service execution has become a …

Constructing reliable computing environments on top of Amazon EC2 spot instances

AM Sampaio, JG Barbosa - Algorithms, 2020 - mdpi.com
Cloud provider Amazon Elastic Compute Cloud (EC2) gives access to resources in the form
of virtual servers, also known as instances. EC2 spot instances (SIs) offer spare …