Wenxiang Li, Chunsheng Zhu, E. Ngai, L. Yang, Lei Shu, Yuxia Sheng
{"title":"Facilities collaboration in cloud manufacturing based on generalized collaboration network","authors":"Wenxiang Li, Chunsheng Zhu, E. Ngai, L. Yang, Lei Shu, Yuxia Sheng","doi":"10.4108/EAI.19-8-2015.2260439","DOIUrl":"https://doi.org/10.4108/EAI.19-8-2015.2260439","url":null,"abstract":"In cloud manufacturing for regional industrial cluster, there is increasing necessity of collaboration among enterprises or facilities. It is valuable to explore the characteristics of these collaboration behaviors for effectively scheduling dispersed manufacturing facilities and organizing their collaboration. The collaborative relation of manufacturing in regional industrial cluster can be described as a generalized social collaboration network. In this paper, we introduce the relevant entities and relations of facilities collaboration, and propose the method for building Facility Collaboration Network (FCN). We further design the dynamically growing process of FCN for different facility selection strategies, including random selection, balanced selection, random selection with preference and balanced selection with preference. Based on the metrics such as network scale, node degree distribution, act degree distribution, average shortest distance and number of cliques, we present the statistical characteristics of FCN, and analyze relevant characteristics and laws for efficient facilities selection in cloud manufacturing.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127710739","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}
Bin Xu, Jin Qi, Kun Wang, Ye Wang, Xiaoxuan Hu, Yanfei Sun
{"title":"An improved artificial bee colony algorithm for cloud computing service composition","authors":"Bin Xu, Jin Qi, Kun Wang, Ye Wang, Xiaoxuan Hu, Yanfei Sun","doi":"10.4108/EAI.19-8-2015.2260856","DOIUrl":"https://doi.org/10.4108/EAI.19-8-2015.2260856","url":null,"abstract":"The rapid increase of using cloud computing encourages service vendors to supply services with different features and provide them in a service pool. Service composition (SC) problem in cloud computing environment becomes a key issue because of the increase of service quantity and user requirements of the quality of service experience. To satisfy the demands on quality of service experience and realize an efficient algorithm for SC problem, a quality of experience (QoE) evaluation model based on fuzzy analytic hierarchy process (FAHP) for SC problem is put forward first. Then, an improved artificial bee colony (IABC) optimization algorithm for QoE based SC problem is proposed. The algorithm improves the updating mechanism of scout bees by introducing current global optimal solution to accelerate convergence velocity and eventually to improve the solution quality. Finally, the experimental results on QWS dataset show that IABC has a better performance on QoE based SC problem, compared with original ABC, PSO and DE.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130349852","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}
{"title":"Research of neighbor discovery for IPv6 over low-power wireless personal area networks","authors":"Bingqing Luo, Suning Tang, Zhixin Sun","doi":"10.4108/eai.19-8-2015.2260186","DOIUrl":"https://doi.org/10.4108/eai.19-8-2015.2260186","url":null,"abstract":"The Ipv6 neighbor discovery protocol is unable to meet the networking and address configuration requirements of the nodes in the wireless sensor network (WSN). To address this problem, the 6lowpan network architecture is presented in this paper, and based on the architecture, a method for configuring addresses of the 6lowpan nodes and a basic process for interaction during neighbor discovery are proposed. A context management and distributing strategy is also proposed to expanded 6lowpan domain, providing an approach to the standard protocol RFC6775. Simulation results show that the proposed 6lowpan neighbor discovery protocol is highly feasible and effective.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133751919","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}
Yongping Zhang, Bo Li, Mao Yang, Zhongjiang Yan, Xiaoya Zuo
{"title":"Joint optimization of carrier sensing threshold and transmission rate in wireless ad hoc networks","authors":"Yongping Zhang, Bo Li, Mao Yang, Zhongjiang Yan, Xiaoya Zuo","doi":"10.4108/EAI.19-8-2015.2259770","DOIUrl":"https://doi.org/10.4108/EAI.19-8-2015.2259770","url":null,"abstract":"The ever-increasing demands of wireless traffic call for continuously growing the wireless network capacity or throughput. Carrier sensing threshold adaptation and transmission rate adaptation, two efficient mechanisms improving the capacity of ad hoc network, have attracted much attention in recent years. However, simply adopting either mechanism can hardly meet the expectation that optimizing the network capacity. In this paper, we investigate the joint optimization of carrier sensing threshold and transmission rate to improve the network capacity or throughput. The area capacity (throughput), which is defined as the network capacity (throughput) per unit area, is theoretically analyzed. Meanwhile, the relationship between carrier sensing threshold and transmission rate is theoretically revealed. Furthermore, the optimal area capacity is obtained by jointly optimizing the carrier sensing threshold and the transmission rate. Simulation results validate our analysis and derived results, and show that the throughput is significantly improved by the joint optimization.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115890656","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}
{"title":"Collision detect and avoidance media access mechanism for next generation 802.11ax networks","authors":"Rung-Shiang Cheng, Chung-Ming Huang","doi":"10.4108/EAI.19-8-2015.2260939","DOIUrl":"https://doi.org/10.4108/EAI.19-8-2015.2260939","url":null,"abstract":"IEEE is making an 802.11ax protocol for next-generation wireless network. The goal of 802.11ax is to improve the networking performance of individual device, especially those mobile stations with numerous access networks in high-density wireless network. However, traditional 802.11 standards have the problem of poor transmission efficiency because traditional standards for wireless network enhance the overall wireless network volume and are easy to be implemented. When there are numerous wireless networking devices existing in a congested network to continuously conduct random access procedure, the success rate of channel access might drastically drop, leading to problems such as data error, loss, latency, energy consumption, etc.; to improve this problem, when designing message processing mechanism in physical layers, we should also consider the problem of media access control. Hence, this paper proposes a collision detection and avoidance media access mechanism for next-generation WiFi communications. The proposed algorithm leverages the ability of underlying random access to compatible legacy WiFi and identifies available slot-time to avoid channel collision of the access network. The algorithm's performance is evaluated by the simulation which demonstrates significant improvement in terms of channel efficiency as well as transmission delay. The results confirm that the proposed CSMA/CDA scheme provides a better performance than the legacy CSMA/CA in dense WiFi networks.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116759620","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}
{"title":"A new QoE-driven video cache allocation scheme for mobile cloud server","authors":"Xiaojiang Zhou, Mengyao Sun, Yumei Wang, Xiaofei Wu","doi":"10.4108/EAI.19-8-2015.2260126","DOIUrl":"https://doi.org/10.4108/EAI.19-8-2015.2260126","url":null,"abstract":"With the advent of mobile cloud computing, video cache technologies at local cellular networks have attracted extensive attention. Nevertheless, existing video cache allocation schemes mostly made decisions only according to the video coding requirements, without considering users' individual perception for the video service. In this paper, we propose a new video cache allocation scheme with the consideration of quality of experience (QoE) of users under limited storage space. We make use of the linear regression algorithm to map the relationship between the requested video rate, the replied video rate, the channel condition and the QoE value, which then helps to obtain the different video rates to be stored in the server. Meanwhile, we define the parameter to represent the popularity of a video clip. We optimize the cache space allocation for each video clip based on these parameters in the mobile cloud server of local cellular networks. The experiments demonstrate that the proposed scheme has a better performance in terms of the overall QoE of users with the constraint of the total cache size.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133346996","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}
{"title":"Life extend approach based on priority Queue N strategy for wireless sensor network","authors":"Jyun-Fan Ke, Wenxia Chen, Der-Chen Huang","doi":"10.4108/eai.19-8-2015.2260111","DOIUrl":"https://doi.org/10.4108/eai.19-8-2015.2260111","url":null,"abstract":"In this paper, we proposed a method on the tradeoff between packet transmission speed and battery life in wireless sensor networks (WSN). The data obtained by sensor nodes comprised various types of information with various levels of importance. A misjudgment of the priority of packets according to the importance of data may delay the transmission of important information. The energy consumed by sensor nodes varies according to system states. Therefore, this research used queuing theory and the birth-death process to build a mathematical model capable of quantifying various energy consumption parameters. MATLAB was used to calculate the distribution of system state probability for sensor nodes with two queues. Packet delay equation was then applied to obtain the expected values of delay time for packets of various priorities. We adjust various system parameters and observe how these changes influenced system state probability. Finally, we use different N values to obtain the minimal value of system energy consumption. Obtaining this value helps to overcome the energy hole problem (EHP), which in turn extends the lifespan of the overall WSN. Prioritizing packets can ensure the transmission of important data within a shorter time span. Experimental results show the energy consumption is reduced and important data can be transmitted with less packet delay time.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133990970","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}
S. Huang, C. Shieh, Che-Ching Liao, Chui-Ming Chiu, Ming-Fong Tsai, Lien-Wu Chen
{"title":"A cloud-based efficient on-line analytical processing system with inverted data model","authors":"S. Huang, C. Shieh, Che-Ching Liao, Chui-Ming Chiu, Ming-Fong Tsai, Lien-Wu Chen","doi":"10.4108/EAI.19-8-2015.2261409","DOIUrl":"https://doi.org/10.4108/EAI.19-8-2015.2261409","url":null,"abstract":"On-line analytical processing (OLAP) provides analysis of multi-dimensional data stored in a database and achieves great success in many applications such as sales, marketing, financial data analysis. OLAP operation is a dominant part of data analysis especially when addressing a large amount of data. With the emergence of the MapReduce paradigm and cloud technology, OLAP operation can be processed on big data that resides in scalable, distributed storage. However, current MapReduce implementations of OLAP operation processing have a major performance drawback caused by improper processing procedure. This is crucial when dimension or dependent attributes are large, which is a common case for most data warehouses hold nowadays. To solve this issue, this paper proposes a methodology to accelerate the performance of OLAP operation processing on big data. We have conducted the experiments on the basic algebra of OLAP operation with different data sizes to demonstrate the effectiveness of our system.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123649076","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}
{"title":"Information theory based performance analysis and enhancement of safety applications in DSRC","authors":"Zhongyi Shen, Xin Zhang, Zhihao Chen, Meng Zhang, Yunlong Gu, Jinxi Fu","doi":"10.4108/EAI.19-8-2015.2260652","DOIUrl":"https://doi.org/10.4108/EAI.19-8-2015.2260652","url":null,"abstract":"Dedicated short-range communication (DSRC) is an enabling technology for Intelligent Transportation Systems (ITS). Due to lack of stable topology, the periodic and event-driven safety applications take broadcast as an effective approach to disseminate messages, which leads to significant performance degradation in high density and highly dynamic scenarios. This paper presents an information theory based model to determine the theoretical amount of information required by DSRC safety applications, and the results are helpful in reducing redundant information in performance enhancement as well as gaining more insight for system design. Based on the model presented, an adaptive algorithm is proposed to derive the optimal safety message rate in different scenarios to reduce the channel load. Numerical simulations based on NS-3 show the proposed algorithm can improve the performance dramatically, and the effectiveness of the safety applications is guaranteed.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116815144","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}
{"title":"A WSN-based health and tracking system for green cyclist community","authors":"Haw-Yun Shin, Isa Chen, Chung-Ming Own","doi":"10.4108/EAI.19-8-2015.2260977","DOIUrl":"https://doi.org/10.4108/EAI.19-8-2015.2260977","url":null,"abstract":"We used the green power and WSN techniques to ad-dress issues related to cycling activities, including health records, trajectory monitoring, group positioning, and immediate safety issues. Each bicycle is equipped with a green power module, a unique WSN identification device and an optional biomedical monitoring device. GPS is not required. Bike paths are equipped with routers and gateways that serve as a bridge between the bicycle devices and the cloud server. The routers collect and transmit the cyclists' unique identification and biomedical data to the cloud server through the gateway. The cloud service platform provides users to monitor and calibrate the cyclists' trajectories, as well as their activity and health records. Furthermore, the cloud service platform includes a path establishment simulation system that enables a path manager to simulate paths before they are physically provided to determine the ideal establishment method for providing router and gateway.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134214451","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}