Results 31 to 40 of about 8,251,079 (331)

Unusual Enhancements of NmF2 in Anyang Ionosonde Data [PDF]

Journal of Astronomy and Space Sciences, 2013
Sudden enhancements of daytime NmF2 appeared in Anyang ionosonde data during summer seasons in 2006-2007. In order to investigate the causes of this unusual enhancement, we compared Anyang NmF2’s with the total electron contents (GPS TECs) observed at ...
Jongyeon Yun, Yong Ha Kim, Yong Ha Kim, Young-Sil Kwak, Sunhak Hong   +4 more
doaj   +1 more source

Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker

Journal of Cloud Computing: Advances, Systems and Applications, 2018
In a cloud computing environment there are two types of cost associated with the auto-scaling systems: resource cost and Service Level Agreement (SLA) violation cost.
Ali Yadav Nikravesh, Samuel A. Ajila, Chung-Horng Lung   +2 more
doaj   +1 more source

Cost-efficient Auto-scaling of Container-based Elastic Processes [PDF]

Future generations computer systems, 2022
In business process landscapes, a common challenge is to provide the necessary computational resources to enact the single process steps. One well-known approach to solve this issue in a cost-e ffi cient way is to use the notion of elasticity, i.e., to ...
Gerta Sheganaku, Stefan Schulte, P. Waibel, I. Weber   +3 more
semanticscholar   +1 more source

Cloud auto-scaling with deadline and budget constraints [PDF]

2010 11th IEEE/ACM International Conference on Grid Computing, 2010
Clouds have become an attractive computing platform which offers on-demand computing power and storage capacity. Its dynamic scalability enables users to quickly scale up and scale down underlying infrastructure in response to business volume, performance desire and other dynamic behaviors.
Ming Mao, Jie Li, Marty Humphrey
openaire   +1 more source

Towards a Deadline-Based Simulation Experimentation Framework Using Micro-Services Auto-Scaling Approach [PDF]

, 2019
There is growing number of research efforts in developing auto-scaling algorithms and tools for cloud resources. Traditional performance metrics such as CPU, memory and bandwidth usage for scaling up or down resources are not sufficient for all ...
Gabor Terstyanszky, Terstyanszky, G., Tamas Kiss, James DesLauriers, Jozsef Kovacs, Simon J. E. Taylor, Deslauriers, J, Deslauriers, J., Gregoire Gesmier, Kacsuk, P., Gesmier, G., Kiss, T., Nura Tijjani Abubakar, Peter Kacsuk, Kacsuk, P, Kovacs, J., Anagnostou, A., Taylor, S.J.E., Gesmier, G, Kiss, T, Kovacs, J, Abubakar, N.T., Anastasia Anagnostou, Terstyanszky, G, Anagnostou, A, Taylor, SJE, Abubakar, NT   +26 more
core   +1 more source

Toward Bio-Inspired Auto-Scaling Algorithms: An Elasticity Approach for Container Orchestration Platforms

IEEE Access, 2020
The wide adoption of microservices architectures has introduced an unprecedented granularisation of computing that requires the coordinated execution of multiple containers with diverse lifetimes and with potentially different auto-scaling requirements ...
Jose Herrera, German Molto
doaj   +1 more source

A Dynamic Scalable Auto-Scaling Model as a Load Balancer in the Cloud Computing Environment

ICST Transactions on Scalable Information Systems, 2023
INTRODUCTION: Cloud services are becoming increasingly important as advanced technology changes. In these kinds of cases, the volume of work on the corresponding server in public real-time data virtualized environment can vary based on the user’s needs ...
Saroja Kumar Rout, Jvr Ravinda, Anudeep Meda, S. Mohanty, Venkatesh Kavididevi   +4 more
semanticscholar   +1 more source

Humas: A Heterogeneity- and Upgrade-Aware Microservice Auto-Scaling Framework in Large-Scale Data Centers [PDF]

IEEE transactions on computers
An effective auto-scaling framework is essential for microservices to ensure performance stability and resource efficiency under dynamic workloads.
Qin Hua, Dingyu Yang, Shiyou Qian, Jian Cao, Guangtao Xue, Minglu Li   +5 more
semanticscholar   +1 more source

Asynchronous Load Balancing and Auto-Scaling: Mean-Field Limit and Optimal Design [PDF]

IEEE/ACM Transactions on Networking, 2022
We develop a Markovian framework for load balancing that combines classical algorithms such as Power-of- $d$ with auto-scaling mechanisms that allow the net service capacity to scale up or down in response to the current load on the same timescale as job
J. Anselmi
semanticscholar   +1 more source

Cloud Infrastructure Estimation and Auto-Scaling Using Recurrent Cartesian Genetic Programming-Based ANN

IEEE Access, 2020
Use of cloud resources has increased with the increasing trend of organizations and governments towards cloud adaptation. This increase in cloud resource usage, leads to enormous amounts of energy consumption by cloud data center servers.
Qazi Zia Ullah, Gul Muhammad Khan, Shahzad Hassan   +2 more
doaj   +1 more source