Elasticity in cloud computing: state of the art and research challenges
Elasticity is a fundamental property in cloud computing that has recently witnessed major
developments. This article reviews both classical and recent elasticity solutions and …
developments. This article reviews both classical and recent elasticity solutions and …
Auto-scaling web applications in clouds: A taxonomy and survey
C Qu, RN Calheiros, R Buyya - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Web application providers have been migrating their applications to cloud data centers,
attracted by the emerging cloud computing paradigm. One of the appealing features of the …
attracted by the emerging cloud computing paradigm. One of the appealing features of the …
Machine learning based workload prediction in cloud computing
As a widely used IT service, more and more companies shift their services to cloud
datacenters. It is important for cloud service providers (CSPs) to provide cloud service …
datacenters. It is important for cloud service providers (CSPs) to provide cloud service …
Unsupervised learning approach for web application auto-decomposition into microservices
Nowadays, large monolithic web applications are manually decomposed into microservices
for many reasons including adopting a modern architecture to ease maintenance and …
for many reasons including adopting a modern architecture to ease maintenance and …
A survey and taxonomy of self-aware and self-adaptive cloud autoscaling systems
Autoscaling system can reconfigure cloud-based services and applications, through various
configurations of cloud software and provisions of hardware resources, to adapt to the …
configurations of cloud software and provisions of hardware resources, to adapt to the …
Long-term SLOs for reclaimed cloud computing resources
The elasticity promised by cloud computing does not come for free. Providers need to
reserve resources to allow users to scale on demand, and cope with workload variations …
reserve resources to allow users to scale on demand, and cope with workload variations …
[HTML][HTML] Machine learning job failure analysis and prediction model for the cloud environment
Reliable and accessible cloud applications are essential for the future of ubiquitous
computing, smart appliances, and electronic health. Owing to the vastness and diversity of …
computing, smart appliances, and electronic health. Owing to the vastness and diversity of …
Cloud computing based workload prediction using cluster machine learning approach
M Kulkarni, P Deshpande, S Nalbalwar… - … on Computing in …, 2022 - Springer
In current history, cloud computing has dramatically changed the media. Despite the many
advantages, specific problems often arise. Dynamic resource scaling and power usage are …
advantages, specific problems often arise. Dynamic resource scaling and power usage are …
Characterizing application scheduling on edge, fog, and cloud computing resources
P Varshney, Y Simmhan - Software: Practice and Experience, 2020 - Wiley Online Library
Cloud computing has grown to become a popular distributed computing service offered by
commercial providers. More recently, edge and fog computing resources have emerged on …
commercial providers. More recently, edge and fog computing resources have emerged on …
A control theoretical view of cloud elasticity: taxonomy, survey and challenges
The lucrative features of cloud computing such as pay-as-you-go pricing model and dynamic
resource provisioning (elasticity) attract clients to host their applications over the cloud to …
resource provisioning (elasticity) attract clients to host their applications over the cloud to …