Commun. Stat. Simul. Comput.最新文献_第2页

Preface of Special Issue: Future Internet 特刊前言:未来互联网

Commun. Stat. Simul. Comput. Pub Date : 1900-01-01 DOI: 10.32604/csse.2018.33.233

Xiulong Liu, M. Dong, Xiaobo Zhou

引用次数: 0

Energy Aware Routing Algorithm in Manet Using Linear Programming 基于线性规划的Manet能量感知路由算法

Commun. Stat. Simul. Comput. Pub Date : 1900-01-01 DOI: 10.32604/csse.2018.33.421

Hany Ramadan, B. S. Tawfik, A. Riad

{"title":"Energy Aware Routing Algorithm in Manet Using Linear Programming","authors":"Hany Ramadan, B. S. Tawfik, A. Riad","doi":"10.32604/csse.2018.33.421","DOIUrl":"https://doi.org/10.32604/csse.2018.33.421","url":null,"abstract":"Mobile ad hoc networks (MANET) are wireless network without infrastructure and suffering from low power battery. Therefore the main objective in finding a route for traffic transfer from a given source to a given destination is to minimize the node energy consumption. This paper solves the problem of finding a route satisfying the main objective of minimum energy consumption and other QoS requirements such as minimum delay and maximum packet delivery ratio by using linear programming technique. Two cases are considered: 1. The traffic amount of a given request is transmitted into single path, and 2. The traffic amount of a request can be distributed into parallel paths. A preprocessing step is done first for network topology design. This step leads to formulate the first case as integer linear programming problem and the second case as linear programming and not mixed integer linear programming. The two obtained solutions are evaluated in terms of three criteria: energy consumption, execution time, and packet delivery ratio using an experimental study. The results show that the solution of second case is much better than the first case in terms of energy consumption and execution time. Packet delivery ratio in the second case is 100% while in the first case is only 76%.","PeriodicalId":119237,"journal":{"name":"Commun. Stat. Simul. Comput.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116987969","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: 5

PPP: Prefix-Based Popularity Prediction for Efficient Content Caching in Contentcentric Networks PPP:内容中心网络中高效内容缓存的基于前缀的流行度预测

Commun. Stat. Simul. Comput. Pub Date : 1900-01-01 DOI: 10.32604/csse.2018.33.259

Jianji Ren, Shanyu Zhao, Junding Sun, Ding Li, Song Wang, Zong-pu Jia

引用次数: 3

Lateral Conflict Model of Training Flight Based on Subjective Factors 基于主观因素的训练飞行横向冲突模型

Commun. Stat. Simul. Comput. Pub Date : 1900-01-01 DOI: 10.32604/csse.2018.33.335

Kaijun Xu, Yusheng Yao, Shanshan Li

引用次数: 1

ADL-RAID: Energy-Saving Data Layout for Dynamic Loads ADL-RAID:节能数据布局为动态负载

Commun. Stat. Simul. Comput. Pub Date : 1900-01-01 DOI: 10.32604/csse.2018.33.309

Youxi Wu, Shengyuan Shi, Jingyu Liu, Huaizhong Zhu

{"title":"ADL-RAID: Energy-Saving Data Layout for Dynamic Loads","authors":"Youxi Wu, Shengyuan Shi, Jingyu Liu, Huaizhong Zhu","doi":"10.32604/csse.2018.33.309","DOIUrl":"https://doi.org/10.32604/csse.2018.33.309","url":null,"abstract":"With the rapid development of information technology and the explosive growth of data, the scale of storage equipment is growing rapidly. The high energy consumption storage devices have become a serious problem for data centers. For data storage, the model of sequential data access a storage system is commonly used. Aiming at the characteristics of a sequential data storage system, this paper, we propose a structure, named Adapted to Dynamic Load based on Redundant Array Independent Disks (ADL-RAID) which is an effective energy-saving data layout for dynamic loads based on the existing Semi-Redundant Array Independent Disks (S-RAID). ADL-RAID inherits the local parallel energy-saving strategy, uses an address mapping mechanism, and allocates storage space to satisfy the performance requirements for the user requested application. By sensing different loads, ADL-RAID allocates storage space for its dynamic loads with the appropriate parallelism. One or several data disks are used when the load is minimized, and all the data disks are used in parallel when the load is maximized. Experimental results show that, for 100% continuous write request, ADL-RAID saves 33.6% energy consumption than S-RAID5 and improves write performance than S-RAID5 by 34.3%. Thus, ADL-RAID has higher availability and is ideal for sequential data storage applications","PeriodicalId":119237,"journal":{"name":"Commun. Stat. Simul. Comput.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131256422","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: 0

Openflow Based Dynamic Flow Scheduling with Multipath for Data Center Networks 基于Openflow的数据中心网络多路径动态流调度

Commun. Stat. Simul. Comput. Pub Date : 1900-01-01 DOI: 10.32604/csse.2018.33.251

Haisheng Yu, Heng Qi, Keqiu Li, Jianhui Zhang, Peng Xiao, Xun Wang

{"title":"Openflow Based Dynamic Flow Scheduling with Multipath for Data Center Networks","authors":"Haisheng Yu, Heng Qi, Keqiu Li, Jianhui Zhang, Peng Xiao, Xun Wang","doi":"10.32604/csse.2018.33.251","DOIUrl":"https://doi.org/10.32604/csse.2018.33.251","url":null,"abstract":"The routing mechanism in Data Center networks can affect network performance and latency significantly. Hash-based method, such as ECMP (Equal-Cost Multi-Path), has been widely used in Data Center networks to fulfill the requirement of load balance. However, ECMP statically maps one flow to a path by a hash method, which results in some paths overloaded while others remain underutilized. Some dynamic flow scheduling schemes choose the most underutilized link as the next hop to better utilize the network bandwidth, while these schemes lacks of utilizing the global state of the network. To achieve high bandwidth utilization and low latency, we present a dynamic flow scheduling mechanism based on OpenFlow protocol which enables monitoring the global network information by a centralized controller. Depending on the network statistics obtained by the OpenFlow controller, the routing algorithm chooses the best path for the flow. Because there are two kinds of flows in a Data Center, short-lived flows and long-lived flows, we proposed two different algorithms for them. The implementation uses pox as OpenFlow controller and mininet as the network emulator. The evaluation results demonstrate that our dynamic flow scheduling algorithm is effective and can achieve high link utilization","PeriodicalId":119237,"journal":{"name":"Commun. Stat. Simul. Comput.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123387938","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: 4

Research on K Maximum Dominant Skyline and E-GA Algorithm Based on Data Stream Environment 基于数据流环境的K最大支配线及E-GA算法研究

Commun. Stat. Simul. Comput. Pub Date : 1900-01-01 DOI: 10.32604/csse.2018.33.369

Wang Qi

{"title":"Research on K Maximum Dominant Skyline and E-GA Algorithm Based on Data Stream Environment","authors":"Wang Qi","doi":"10.32604/csse.2018.33.369","DOIUrl":"https://doi.org/10.32604/csse.2018.33.369","url":null,"abstract":"With the continuous development of database technology, the data volume that can be stored and processed by the database is increasing. How to dig out information that people are interested in from the massive data is one of the important issues in the field of database research. This article starts from the user demand analysis, and makes an in-depth study of various query expansion problems of skylines. Then, according to different application scenarios, this paper proposes efficient and targeted solutions to effectively meet the actual needs of people. Based on krepresentative skyline query problem in the data stream environment, a k-representative skyline selection standard k-LDS is presented which is applicable for data stream environment. k-LDS hopes to select the skyline subset with the largest dominant area (containing k skyline tuples only) as krepresentative skyline set in data stream. And for the 3-dimensionalal and multidimensional k-LDS problems, this paper also proposes the approximation algorithm, namely GA algorithm. Finally, through the experiment, it is proved that k-LDS is more suitable for the data stream environment, and the algorithm proposed can effectively solve k-LD problems under the data stream environment.","PeriodicalId":119237,"journal":{"name":"Commun. Stat. Simul. Comput.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122636991","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: 1

Design of Greenhouse Temperature and Humidity Measuring System based on Zigbee Technology 基于Zigbee技术的温室温湿度测量系统设计

Commun. Stat. Simul. Comput. Pub Date : 1900-01-01 DOI: 10.32604/CSSE.2018.33.317

Xuejun Tian, Jianliang Li, Li Luo

引用次数: 1