Efficient autonomic and elastic resource management techniques in cloud environment: taxonomy and analysis
MAN Saif, SK Niranjan, HDE Al-Ariki - Wireless Networks, 2021 - Springer
Resource management (RM) is a challenging task in a cloud computing environment where
a large number of virtualized, heterogeneous, and distributed resources are hosted in the …
a large number of virtualized, heterogeneous, and distributed resources are hosted in the …
A Optimized Taxonomy on Spot Sale Services Using Mathematical Methodology
In reality, the most appropriate cloud standards are significant ideas for application
administrations. OSCCS technique calculation gives a spot-like market in virtual space to the …
administrations. OSCCS technique calculation gives a spot-like market in virtual space to the …
A novel context migration model for fog-enabled cross-vertical IoT applications
With the maturity of Internet of things (IoT) paradigm, many innovative services are being
conceived by integration of existing IoT services. Such services are termed as cross-vertical …
conceived by integration of existing IoT services. Such services are termed as cross-vertical …
Service pricing and selection for IoT applications offloading in the multi-mobile edge computing systems
With the rapid develo** of Internet of Things (IoT) technologies, various kinds of IoT
devices are connected over the Internet. Consequently, how to meet the requirements of …
devices are connected over the Internet. Consequently, how to meet the requirements of …
Speech recognition in English cultural promotion via recurrent neural network
J Wang - Personal and Ubiquitous Computing, 2020 - Springer
With the rapid development of artificial intelligence, English is the most widely used
language in the world, and English speech recognition has become one of the hot spots in …
language in the world, and English speech recognition has become one of the hot spots in …
Cost minimization of virtual machine allocation in public clouds considering multiple applications
J Entrialgo, JL Díaz, J García, M García… - Economics of Grids …, 2017 - Springer
This paper presents a virtual machine (VM) allocation strategy to optimize the cost of VM
deployments in public clouds. It can simultaneously deal with multiple applications and it is …
deployments in public clouds. It can simultaneously deal with multiple applications and it is …
Virtual machine scheduling and migration management across multi-cloud data centers: blockchain-based versus centralized frameworks
MA Altahat, T Daradkeh, A Agarwal - Journal of Cloud Computing, 2025 - Springer
Efficiently managing virtual resources in the cloud is crucial for successful recourse
utilization. Scheduling is a vital technique used to manage Virtual Machines (VMs), enabling …
utilization. Scheduling is a vital technique used to manage Virtual Machines (VMs), enabling …
A Market-based Framework for Resource Management in Cloud Federation
A federated cloud is a form of the inter-cloud environment in which cloud service providers
cooperate for better scalability and service provisioning. By communicating with other cloud …
cooperate for better scalability and service provisioning. By communicating with other cloud …
[PDF][PDF] QoS aware resource provisioning in federated cloud and analyzing maximum resource utilization in agent based model
P Kumar, KB Prakash - International Journal of Innovative …, 2019 - researchgate.net
Federated cloud computing is one form of cloud computing model which supports huge
applications needs of Big Data services by managing with collaboration from a different set …
applications needs of Big Data services by managing with collaboration from a different set …
A critical review on federated cloud consumer perspective of maximum resource utilization for optimal price using EM algorithm
KB Prakash - Soft Computing for Problem Solving, 2020 - Springer
Federated clouds have been a solution to some of the challenges of cloud computing like
vendor lock-in and performance-related issues in terms of a wide range of resource …
vendor lock-in and performance-related issues in terms of a wide range of resource …