Security in cloud computing: Opportunities and challenges
The cloud computing exhibits, remarkable potential to provide cost effective, easy to
manage, elastic, and powerful resources on the fly, over the Internet. The cloud computing …
manage, elastic, and powerful resources on the fly, over the Internet. The cloud computing …
Imperfect information dynamic stackelberg game based resource allocation using hidden Markov for cloud computing
Existing static grid resource scheduling algorithms, which are limited to minimizing the
makespan, cannot meet the needs of resource scheduling required by cloud computing …
makespan, cannot meet the needs of resource scheduling required by cloud computing …
A comprehensive survey on auction mechanism design for cloud/edge resource management and pricing
Driven by the vision of cloud and edge computing as the 5th utility, a major challenge is the
efficient resource management and pricing taking into account incentives and preferences of …
efficient resource management and pricing taking into account incentives and preferences of …
Privacy preserving deep computation model on cloud for big data feature learning
To improve the efficiency of big data feature learning, the paper proposes a privacy
preserving deep computation model by offloading the expensive operations to the cloud …
preserving deep computation model by offloading the expensive operations to the cloud …
Price-based resource allocation for edge computing: A market equilibrium approach
The emerging edge computing paradigm promises to deliver superior user experience and
enable a wide range of Internet of Things (IoT) applications. In this paper, we propose a new …
enable a wide range of Internet of Things (IoT) applications. In this paper, we propose a new …
Intelligent cloud resource management with deep reinforcement learning
Y Zhang, J Yao, H Guan - IEEE Cloud Computing, 2017 - ieeexplore.ieee.org
The cloud provides low-cost and flexible IT resources (hardware and software) across the
Internet. As more cloud providers seek to drive greater business outcomes and the …
Internet. As more cloud providers seek to drive greater business outcomes and the …
A new service mechanism for profit optimizations of a cloud provider and its users
In this paper, we try to design a service mechanism for profit optimizations of both a cloud
provider and its multiple users. We consider the problem from a game theoretic perspective …
provider and its multiple users. We consider the problem from a game theoretic perspective …
COVID-19 networking demand: An auction-based mechanism for automated selection of edge computing services
A Yassine, MS Hossain - IEEE Transactions on Network …, 2020 - ieeexplore.ieee.org
Network and cloud service providers are facing an unprecedented challenge to meet the
demand of end-users during the COVID-19 pandemic. Currently, billions of people around …
demand of end-users during the COVID-19 pandemic. Currently, billions of people around …
Privacy preserving based logistic regression on big data
Cloud computing has strong computing power and huge storage space. Machine learning
algorithm, combining with cloud computing, makes the processing of large-scale data …
algorithm, combining with cloud computing, makes the processing of large-scale data …
MTD-DHJS: makespan-optimized task scheduling algorithm for cloud computing with dynamic computational time prediction
Cloud computing has revolutionized the management and analysis of data for organizations,
offering scalability, flexibility, and cost-effectiveness. Effective task scheduling in cloud …
offering scalability, flexibility, and cost-effectiveness. Effective task scheduling in cloud …