Dynamic multi-metric thresholds for scaling applications using reinforcement learning
Cloud-native applications increasingly adopt the microservices architecture, which favors
elasticity to satisfy the application performance requirements in face of variable workloads …
elasticity to satisfy the application performance requirements in face of variable workloads …
Multi-agent QoS-aware autonomic resource provisioning framework for elastic BPM in containerized multi-cloud environment
MAN Saif, SK Niranjan, BAH Murshed… - Journal of Ambient …, 2023 - Springer
Cloud computing enables businesses to improve their market competitiveness, enabling
instant and easy access to a pool of virtualized and distributed resources such as virtual …
instant and easy access to a pool of virtualized and distributed resources such as virtual …
CSO-ILB: chicken swarm optimized inter-cloud load balancer for elastic containerized multi-cloud environment
MAN Saif, SK Niranjan, BAH Murshed… - The Journal of …, 2023 - Springer
The dynamic nature of the cloud environment increases the complexity of managing its
resources and the distribution of user workload between the available containers in the data …
resources and the distribution of user workload between the available containers in the data …
Cost-efficient resource scheduling in cloud for big data processing using metaheuristic search black widow optimization (MS-BWO) algorithm
N Jagadish Kumar… - Journal of Intelligent & …, 2023 - content.iospress.com
In a cloud computing system, resources can be accessed at a minimal cost whenever users
raise request needs. The primary goal of cloud computing is to provide cost-efficiency of …
raise request needs. The primary goal of cloud computing is to provide cost-efficiency of …
An Autonomous Multi-Agent Framework using Quality of Service to prevent Service Level Agreement Violations in Cloud Environment
J Singh, MS Goraya - International Journal of Advanced …, 2023 - search.proquest.com
Cloud is a specialized computing technology accommodating several million users to
provide seamless services via the internet. The extension of this reverenced technology is …
provide seamless services via the internet. The extension of this reverenced technology is …
Multi-objective approach for scheduling time-aware business processes in cloud-fog environment
Currently, constant innovations in service-oriented architectures lead to extending the Cloud
services with promising solutions such as Fog computing. As the Cloud-Fog environment …
services with promising solutions such as Fog computing. As the Cloud-Fog environment …
An Efficient Hybrid Scheduling Framework for Optimal Workload Execution in Federated Clouds to Maintain Performance SLAs
D Kshatriya, VA Lepakshi - Journal of Grid Computing, 2023 - Springer
A Federated cloud is a composition of several clouds where a single federated cloud
manager (FCM) is responsible for communication with the cloud service providers (CSPs) of …
manager (FCM) is responsible for communication with the cloud service providers (CSPs) of …
Multi-objective cuckoo search optimization algorithm for optimal resource allocation in cloud environment
MAN Saif, SK Niranjan… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Cloud technology refer to a pool of virtualized heterogeneous computational resources
which are served to different customers as a service through the internet. These virtualized …
which are served to different customers as a service through the internet. These virtualized …
Maximum elastic scheduling of virtual machines in general graph cloud data center networks
In this research, we pioneer a novel method to evaluate the maximum admissible load
(MAL) for virtual machines (VMs) in physical machines (PMs) in data centre networks …
(MAL) for virtual machines (VMs) in physical machines (PMs) in data centre networks …
Embracing Distributed Systems for Efficient Cloud Resource Management: A Review of Techniques and Methodologies
A Abdi, SRM Zeebaree - Indonesian Journal of Computer Science, 2024 - ijcs.net
The development of parallel computing, distributed computing, and grid computing has
introduced a new computing model, combining elements of grid, public computing, and …
introduced a new computing model, combining elements of grid, public computing, and …