Cloud resource demand prediction using machine learning in the context of QoS parameters
Predicting demand for computing resources in any system is a vital task since it allows the
optimized management of resources. To some degree, cloud computing reduces the …
optimized management of resources. To some degree, cloud computing reduces the …
Utility maximisation for resource allocation of migrating enterprise applications into the cloud
S Li, W Sun - Enterprise Information Systems, 2021 - Taylor & Francis
Cloud computing has attracted many enterprises to migrate or deploy their applications into
the cloud platform so as to reduce their operational costs. In this paper, we investigate the …
the cloud platform so as to reduce their operational costs. In this paper, we investigate the …
Estimating cloud application performance based on micro-benchmark profiling
The continuing growth of the cloud computing market has led to an unprecedented diversity
of cloud services. To support service selection, micro-benchmarks are commonly used to …
of cloud services. To support service selection, micro-benchmarks are commonly used to …
Quantifying cloud performance and dependability: Taxonomy, metric design, and emerging challenges
In only a decade, cloud computing has emerged from a pursuit for a service-driven
information and communication technology (ICT), becoming a significant fraction of the ICT …
information and communication technology (ICT), becoming a significant fraction of the ICT …
An integrated information lifecycle management framework for exploiting social network data to identify dynamic large crowd concentration events in smart cities …
With the current availability of an extreme diversity of data sources and services, emerging
from the Internet of Things and Cloud domains, the challenge is shifted towards identifying …
from the Internet of Things and Cloud domains, the challenge is shifted towards identifying …
Performance experiences from running an e-health inference process as faas across diverse clusters
In this paper we report our experiences from the migration of an AI model inference process,
used in the context of an E-health platform to the Function as a Service model. To that …
used in the context of an E-health platform to the Function as a Service model. To that …
Optimization of enterprise labor resource allocation based on quality optimization model
G Liang, L Xu, L Chen - Complexity, 2021 - Wiley Online Library
Companies take project‐based management as their organizational strategy, and project
quality assurance plays a vital role in improving customer satisfaction and enhancing …
quality assurance plays a vital role in improving customer satisfaction and enhancing …
Architectural design of cloud applications: A performance-aware cost minimization approach
Cloud Computing has assumed a relevant role in the ICT, profoundly influencing the life-
cycle of modern applications in the manner they are designed, developed, and deployed …
cycle of modern applications in the manner they are designed, developed, and deployed …
Embedding Automated Function Performance Benchmarking, Profiling and Resource Usage Categorization in Function as a Service DevOps Pipelines
Function as a Service has enabled a modular devel-opment, automated elasticity and cloud-
native implementation of applications. The break down into functions can lead to a more fine …
native implementation of applications. The break down into functions can lead to a more fine …
[PDF][PDF] QoS-Based elasticity for service chains in distributed edge cloud environments
With the emerging IoT and Cloud-based networked systems that rely heavily on
virtualization technologies, elasticity becomes a dominant system engineering attribute for …
virtualization technologies, elasticity becomes a dominant system engineering attribute for …