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Resource management in a containerized cloud: Status and challenges
Cloud computing heavily relies on virtualization, as with cloud computing virtual resources
are typically leased to the consumer, for example as virtual machines. Efficient management …
are typically leased to the consumer, for example as virtual machines. Efficient management …
Making knowledge tradable in edge-AI enabled IoT: A consortium blockchain-based efficient and incentive approach
X Lin, J Li, J Wu, H Liang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Nowadays, benefit from more powerful edge computing devices and edge artificial
intelligence (edge-AI) could be introduced into Internet of Things (IoT) to find the knowledge …
intelligence (edge-AI) could be introduced into Internet of Things (IoT) to find the knowledge …
Job scheduling for big data analytical applications in clouds: A taxonomy study
Y Kang, L Pan, S Liu - Future Generation Computer Systems, 2022 - Elsevier
Cloud environments have provided great help for the development of big data. Today, cloud
environments have become the most active platform for big data analysis applications …
environments have become the most active platform for big data analysis applications …
Cost-aware multimedia data allocation for heterogeneous memory using genetic algorithm in cloud computing
Recent expansions of Internet-of-Things (IoT) applying cloud computing have been growing
at a phenomenal rate. As one of the developments, heterogeneous cloud computing has …
at a phenomenal rate. As one of the developments, heterogeneous cloud computing has …
An online algorithm for scheduling big data analysis jobs in cloud environments
Y Kang, L Pan, S Liu - Knowledge-Based Systems, 2022 - Elsevier
Cloud computing has become a popular platform for processing big data analysis jobs with
its advantages of high-availability, elasticity and cost-efficiency. Many big data analysis …
its advantages of high-availability, elasticity and cost-efficiency. Many big data analysis …
Energy efficiency of server-centric PON data center architecture for fog computing
In this paper, we utilize Mixed Integer Linear Programming (MILP) models to compare the
energy efficiency and performance of a server-centric Passive Optical Networks (PON) …
energy efficiency and performance of a server-centric Passive Optical Networks (PON) …
A survey of big data machine learning applications optimization in cloud data centers and networks
This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …
applications and machine learning algorithms in cloud data centers and networks. The …
Scalability and performance analysis of BDPS in clouds
The increasing demand for big data processing leads to commercial off-the-shelf (COTS)
and cloud-based big data analytics services. Giant cloud service vendors provide …
and cloud-based big data analytics services. Giant cloud service vendors provide …
A novel efficient data gathering algorithm for disconnected sensor networks based on mobile edge computing
Employing mobile elements is an efficient solution to the performance improvement of
wireless sensor networks (WSNs). We propose an efficient data gathering mechanism for …
wireless sensor networks (WSNs). We propose an efficient data gathering mechanism for …
Sensing cloud computing in Internet of Things: a novel data scheduling optimization algorithm
In order to addressing the issues of data matching deviation and load imbalance during the
data scheduling process of the Internet of Things, Sensing Cloud Computing in IoT: A Novel …
data scheduling process of the Internet of Things, Sensing Cloud Computing in IoT: A Novel …