Resource management in cloud networking using economic analysis and pricing models: A survey

NC Luong, P Wang, D Niyato, Y Wen… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
This paper presents a comprehensive literature review on applications of economic and
pricing models for resource management in cloud networking. To achieve sustainable profit …

A survey of profit optimization techniques for cloud providers

P Cong, G Xu, T Wei, K Li - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
As the demand for computing resources grows, cloud computing becomes more and more
popular as a pay-as-you-go model, in which the computing resources and services are …

Joint resource allocation for device-to-device communication assisted fog computing

C Yi, S Huang, J Cai - IEEE Transactions on Mobile Computing, 2019 - ieeexplore.ieee.org
In this paper, joint resource management for device-to-device (D2D) communication
assisted multi-tier fog computing is studied. In the considered system model, each …

An online mechanism for resource allocation and pricing in clouds

L Mashayekhy, MM Nejad, D Grosu… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Cloud providers provision their various resources such as CPUs, memory, and storage in
the form of virtual machine (VM) instances which are then allocated to the users. The users …

Dynamic resource scheduling in mobile edge cloud with cloud radio access network

X Wang, K Wang, S Wu, S Di, H **… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Nowadays, by integrating the cloud radio access network (C-RAN) with the mobile edge
cloud computing (MEC) technology, mobile service provider (MSP) can efficiently handle the …

Dual-side optimization for cost-delay tradeoff in mobile edge computing

Y Kim, J Kwak, S Chong - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
Mobile code offloading (MCO) is a technology that offloads computing tasks from mobile
devices to remote servers managed by code offload service providers (CSPs). Nowadays, it …

Auction-based VM allocation for deadline-sensitive tasks in distributed edge cloud

G Gao, M **ao, J Wu, H Huang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Edge cloud computing is a new paradigm in which the computation and storage services of
remote cloud data centers are moved to Edge Cloud Nodes (ECNs) in network edges …

Mobiqor: Pushing the envelope of mobile edge computing via quality-of-result optimization

Y Li, Y Chen, T Lan… - 2017 IEEE 37th …, 2017 - ieeexplore.ieee.org
Mobile edge computing aims at improving application response time and energy efficiency
by deploying data processing at the edge of the network. Due to the proliferation of Internet …

Combining models and guided empirical search to optimize for multiple levels of the memory hierarchy

C Chen, J Chame, M Hall - International Symposium on Code …, 2005 - ieeexplore.ieee.org
This paper describes an algorithm for simultaneously optimizing across multiple levels of the
memory hierarchy for dense-matrix computations. Our approach combines compiler models …

Profit maximization mechanism and data management for data analytics services

Y Jiao, P Wang, S Feng, D Niyato - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
With the advancement and emergence of new network services, such as social network,
Internet of Things, and crowd-sensing, large volume of diverse data is collected, shared, and …