2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)最新文献_第8页

Cloud Management Using Network Function Virtualization to Reduce CAPEX and OPEX 使用网络功能虚拟化的云管理，降低CAPEX和OPEX

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.17

Ananth M. D., Rinki Sharma

{"title":"Cloud Management Using Network Function Virtualization to Reduce CAPEX and OPEX","authors":"Ananth M. D., Rinki Sharma","doi":"10.1109/CICN.2016.17","DOIUrl":"https://doi.org/10.1109/CICN.2016.17","url":null,"abstract":"As the users on the cloud network increase, the consumption of the Compute, Network and Storage resources also increases. This leads to increase in the cost of deployment, configuration and maintenance. Hence, the Capital Expenditure (CAPEX) and Operational Expenditure (OPEX) of the organization providing the cloud network increases. Network Function Virtualization (NFV) is a technology which virtualizes network functionalities. This paper studies the influence of NFV on CAPEX and OPEX of cloud based networks and compares it with traditional implementation (without NFV) of such networks. A prototype cloud networkbased on NFV implementation is developed and implemented. Based on the test cases developed on the prototype, CAPEX and OPEX of the resources used for both NFV based and traditional implementations are studied and analyzed. RESTful web services are created for the users of the cloud network to orchestrate and manage the network on the cloud. The results accomplished show that NFV based implementation reduces the CAPEX and OPEX, when compared with the traditional implementation. It is also observed that orchestration mechanism reduces complexity of management of cloud network.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124801582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

The Temperature Control Based on Internal Model Used for Structure Strength Thermal Experiment 结构强度热实验中基于内部模型的温度控制

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.110

Liu Peng, Yan Chao, Pang Chuanhe

引用次数: 0

Integration of NoSQL Databases for Analyzing Spatial Information in Geographic Information System 地理信息系统空间信息分析中NoSQL数据库的集成

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.75

M. López, S. Couturier, J. Lopez

引用次数: 7

Design and Analysis of a Low Power Digital Phase Locked Loop 低功率数字锁相环的设计与分析

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.60

D. Bhati, Balwinder Singh

引用次数: 6

Optimum Criterion of the Vehicle Navigation for Saving the Fuel Consumption by Tabu Search Algorithm with Non Dominated Technique 基于非支配技术禁忌搜索算法的车辆导航节能优化准则

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.103

Jetsada Meeruang, T. Dolwichai

{"title":"Optimum Criterion of the Vehicle Navigation for Saving the Fuel Consumption by Tabu Search Algorithm with Non Dominated Technique","authors":"Jetsada Meeruang, T. Dolwichai","doi":"10.1109/CICN.2016.103","DOIUrl":"https://doi.org/10.1109/CICN.2016.103","url":null,"abstract":"Vehicle navigation now a day, it has used the navigation devices for guided the user to get the destination point. The requirement of the user in general must be arrived by the right destination. In usual work of navigation system, it directed the path with shortest path, by did not calculate the time consuming as the traffic condition. Which effect to fuel consumption of the vehicle. The vehicle fuel consumption for running in the city has known as high because of it almost run on low load which the engine must be consumed more fuel. If the navigation system can be directed the path with short time or short distance, the vehicle can be saved the fuel. According to the navigation system, it is the optimization problem with 2 objectives, minimization of the time and the distance. Tabu search algorithm (TS) is used for this work. It efficient for working with the multi variables and unequal variable for each navigation. The navigation examples are simulated with 4x4, 5x5 and 6x6 grid path. All of the path are assigned the traffic condition by using the level of service (LOS) which shown the ratio between volume and road capacity. The optimum solution path can be shown as the Pareto frontier. It can be used for alternating choice of the path in navigation system. The minimum time criterion is effective in decreasing of specific fuel consumption (sfc) than the distance criterion with the percentage of 5.54%.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124660199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Multi-representation Based Virtual Samples for Image Classification 基于多表示的虚拟样本图像分类

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.68

Guiying Zhang, Yong Zhao, Han Xiang

引用次数: 0

A Comprehensive Comparison between Hybrid and Native App Paradigms 混合和原生应用模式的综合比较

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.125

P. Que, Xiao Guo, Maokun Zhu

引用次数: 17

Multivar – A MATLAB Based MIMO Control System Design Application 基于MATLAB的多变量MIMO控制系统设计应用

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.69

C. Blackwell, Musti K. S. Sastry

引用次数: 0

An Application of Knowledge Management System for Tourism Regions 旅游区域知识管理系统的应用

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.80

Zhiyang Jia, Ding Li

引用次数: 1

Increasing Stability Period Using Nature-Inspired Technique in Wireless Sensor Network 利用自然启发技术增加无线传感器网络的稳定周期

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.29

Y. Pant, H. Bhadauria, Annapurna Singh

{"title":"Increasing Stability Period Using Nature-Inspired Technique in Wireless Sensor Network","authors":"Y. Pant, H. Bhadauria, Annapurna Singh","doi":"10.1109/CICN.2016.29","DOIUrl":"https://doi.org/10.1109/CICN.2016.29","url":null,"abstract":"Wireless sensor network consists of various nodes that are basically used for the calculation and transmission of the data. These nodes are battery powered due to which energy of a node plays a vital role. The amount of the energy used up by any node while the data is transmitted, it needs to be optimized so that the less amount of energy is consumed. The efficiency of the WSN depends on the numerous performance parameter of the network. A lifetime of network and energy consumption is the most important parameters in the design of a WSN. Various routing protocols have been designed to find the route in the network. Various energy efficient protocols have such as LEACH, DEEC, etc. were proposed, later on with Bio-inspired optimization like ACO, GA, PSO, etc. were used for finding the route in the network to increase the efficiency of the wireless sensor network but still there was need to design the algorithms that are more efficient than these in terms of energy consumption and network life, so in this paper an advancement in the PSO algorithm is proposed. The problem of the traditionally using PSO is resolved and by making some modification and proposing the modified moderate random particle swarm optimization. From the experiment perform it is concluded that this introduced approach is much efficient than the traditional PSO.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"1996 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125563252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3