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Article | 08-April-2018

Optimal Pricing Strategies for Resource Allocation in IaaS Cloud

In cloud computing environment, pricing is an effective method for resource allocation and it provides efficient incentive for cloud providers to provide cloud services. In this paper, we investigate two pricing schemes for the allocation of cloud resources in a monopoly cloud market subject to constrained capacity of the cloud provider. There are two main pricing schemes, on-demand and reserved pricing mechanisms adopted by leading cloud providers, i.e., Amazon and Gogrid. We analyze how cloud

Zhengce Cai, Xianwei Li

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 2, 60–67

Article | 30-November-2019

A Study of Edge Computing Offloading Based on Security

-resourced edge cloud. The problem of computational offloading is mainly focused on offloading decisions and resource allocation, and many scholars have done relevant research on these issues. in the literature[3], a one-dimensional search algorithm is used to minimize the latency target and optimize the user task execution latency based on the application queue buffer queue state. Experimental results show that the optimal strategy proposed in this scheme can reduce the latency by up to 80% compared to

Luo Pei, Lei Juchao

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 2, 58–63

Research paper | 20-February-2013


The objective of this paper is to study the image communication behavior of a wireless video sensor, and analyze its performance under resource constrained wireless multimedia sensor networks. Energy consumption and rate distortion model of DCT-based coded image compression and transmission is developed. Based on energy consumption and rate distortion model proposed, resource allocation is optimized with limited energy and bandwidth. Number of DCT coefficient and step size of quantization table

Xiong Zheyuan, Fan Xiaping, Liu Shaoqiang, Li Yongzhou, Zhang Huan

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 120–135

Article | 01-March-2016


Aim to cost of wireless operators constantly increases but income increases slowly, this paper researches cloud wireless access network (C-RAN) based on concentrated resources pool, proposes a dynamic projection model combined with base band processing unit (Building Base band Unit, BBU) and remote radio unit (Radio Remote Unit, RRU), designs base band resource allocation method, according to cloud calculation and C-RAN technology which introduced in this paper, through calculation and analysis

Yanrong Niu

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 289–308

research-article | 30-November-2019

Resource allocation for NOMA based networks using relays: cell centre and cell edge users

the resource allocation. The maximization of the energy efficiency of a hybrid downlink NOMA-OFDM system is the focus in the study of Shi et al. (2019) to capitalize on the advantages of each. They propose two resource allocating algorithms, one to optimally allocate resources and one low complexity resource allocating algorithm. Each algorithm contains two power allocating algorithms, one where the power consumption is limited and the other not, respectively. Results show the performance of the

Vipin Balyan*, Rifqah Daniels

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–18

Article | 07-May-2018

Application of Greedy Random Adaptive Search Algorithm (GRASP) in Flight Recovery Problem

greedy random adaptive search algorithm GRASP algorithm in the NP problem solving process under the flight recovery problem model. According to the analysis, the resource allocation model is established to verify the shortcomings of Lagrange relaxation algorithm (LRS) in flight recovery problem. Meanwhile, the greedy random adaptive search algorithm (GRASP) is used to solve the model, and the new flight schedule is obtained. Through the experimental results, the feasibility of the algorithm is proved

Wang Shaochang, Xu Fei, Yang Weixia, Ma Zhe

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 39–44

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