Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey
Abstract Machine learning and artificial intelligence techniques have been proven helpful
when pragmatic to a wide range of complex problems and areas such as energy …
when pragmatic to a wide range of complex problems and areas such as energy …
A survey of machine learning applications for energy-efficient resource management in cloud computing environments
M Demirci - 2015 IEEE 14th international conference on …, 2015 - ieeexplore.ieee.org
Ensuring energy efficiency in data centers is a crucial objective in modern cloud computing
because it reduces operating costs and complies with the goals of green computing …
because it reduces operating costs and complies with the goals of green computing …
Statistical model checking-based evaluation and optimization for cloud workflow resource allocation
Due to the existence of resource variations, it is very challenging for Cloud workflow
resource allocation strategies to guarantee a reliable Quality of Service (QoS). Although …
resource allocation strategies to guarantee a reliable Quality of Service (QoS). Although …
[图书][B] Predicting SMT solver performance for software verification
A Healy - 2016 - search.proquest.com
The approach Why3 takes to interfacing with a wide variety of interactive and automatic
theorem provers works well: it is designed to overcome limitations on what can be proved by …
theorem provers works well: it is designed to overcome limitations on what can be proved by …
Transferable knowledge for low-cost decision making in cloud environments
Users of Infrastructure as a Service (IaaS) are increasingly overwhelmed with the wide
range of providers and services offered by each provider. As such, many users select …
range of providers and services offered by each provider. As such, many users select …
[PDF][PDF] CLR: Cloud Linear Regression Environment as a More Effective Resource-Task Scheduling Environment (State-of-the-Art).
ME Seno, OKJ Mohammad… - Int. J. Interact. Mob …, 2022 - academia.edu
The cloud paradigm has swiftly developed, and it is now well known as one of the emerging
technologies that will have a significant influence on technology and society in the next few …
technologies that will have a significant influence on technology and society in the next few …
Workload prediction model based on supervised learning for energy efficiency in cloud
N Verma, A Sharma - 2017 2nd International Conference on …, 2017 - ieeexplore.ieee.org
With the rapid emergence of cloud and its magnificent features such as high availability,
reliability and security, a large number of clients are moving to the cloud platform. This …
reliability and security, a large number of clients are moving to the cloud platform. This …
Performance of Information Technology Infrastructure Prediction using Machine Learning
IR Heruwidagdo, N Hanafiah, Y Setiawan - Procedia Computer Science, 2021 - Elsevier
Resource management is always an important issue related to good governance decision
making. One of the common problem faced in managing IT Infrastructure is about allocating …
making. One of the common problem faced in managing IT Infrastructure is about allocating …
Artificial intelligence in cloud computing
Artificial intelligence plays a significant influence in raising living standards. Fog computing,
mist computing, edge computing, software-defined network, Internet of Things, digital twin …
mist computing, edge computing, software-defined network, Internet of Things, digital twin …