Pub Date : 2014-07-08DOI: 10.1109/INFCOMW.2014.6849318
R. A. V. Ramírez, J. Thompson, E. Altman, V. Ramos
In this paper, we aim to reduce the power expenditure in the reverse link during low network load periods, by allocating extra resource blocks (RBs) to the mobile users. Thereby, the user's rate demands are split among its allocated RBs in order to transmit in each of them by using a low level modulation order. We model the bandwidth expansion (BE) process by a game theory framework derived from the concept of stable marriage with incomplete lists (SMI). We focus on the optimization of the circuit consumed power rather than on the transmitted power. Thus, the power consumption of the radio frequency (RF) circuits and the baseband (BB) system module is taken into account. Our proposed framework works in a distributed way, hence each RB and mobile user in the system are considered as an independent entity which takes an active role in the decision making process. Additionally, we show that when circuit power consumption is used as an optimization metric, transmitting in more than one RB may not become an energy efficient solution for users experiencing favorable propagation conditions in the reverse link.
{"title":"A game theory framework for a distributed and energy efficient bandwidth expansion process","authors":"R. A. V. Ramírez, J. Thompson, E. Altman, V. Ramos","doi":"10.1109/INFCOMW.2014.6849318","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849318","url":null,"abstract":"In this paper, we aim to reduce the power expenditure in the reverse link during low network load periods, by allocating extra resource blocks (RBs) to the mobile users. Thereby, the user's rate demands are split among its allocated RBs in order to transmit in each of them by using a low level modulation order. We model the bandwidth expansion (BE) process by a game theory framework derived from the concept of stable marriage with incomplete lists (SMI). We focus on the optimization of the circuit consumed power rather than on the transmitted power. Thus, the power consumption of the radio frequency (RF) circuits and the baseband (BB) system module is taken into account. Our proposed framework works in a distributed way, hence each RB and mobile user in the system are considered as an independent entity which takes an active role in the decision making process. Additionally, we show that when circuit power consumption is used as an optimization metric, transmitting in more than one RB may not become an energy efficient solution for users experiencing favorable propagation conditions in the reverse link.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"46 1","pages":"712-717"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76857402","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}
Pub Date : 2014-07-08DOI: 10.1109/INFCOMW.2014.6849311
G. Atkinson, M. Thottan
We show how it is possible to develop a system to improve management of distribution grid assets using AMI. In particular, we demonstrate how distribution transformers can be monitored and therefore, managed, even when there are no direct communication channels between the transformers and the asset management system. As an example, using smart meter interval load measurements, load and aging of oil-immersed distribution transformers is estimated with high-temporal resolution, being limited only by the smart meter measurement interval.
{"title":"Leveraging advanced metering infrastructure for distribution grid asset management","authors":"G. Atkinson, M. Thottan","doi":"10.1109/INFCOMW.2014.6849311","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849311","url":null,"abstract":"We show how it is possible to develop a system to improve management of distribution grid assets using AMI. In particular, we demonstrate how distribution transformers can be monitored and therefore, managed, even when there are no direct communication channels between the transformers and the asset management system. As an example, using smart meter interval load measurements, load and aging of oil-immersed distribution transformers is estimated with high-temporal resolution, being limited only by the smart meter measurement interval.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"767 1","pages":"670-675"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77525003","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}
Pub Date : 2014-07-08DOI: 10.1109/INFCOMW.2014.6849247
L. Meng, Shu Liu, A. Striegel
Over the past few years, mobile devices, particularly smartphones have seen dramatic increases in data consumption. The significant increases in data usage have placed tremendous strain on the wireless infrastructure necessitating research across a variety of optimization, efficiency, and capacity improvements. Complementary to those research efforts is the acquisition of a better understanding what aspects drive user smartphone usage. In this paper, we leverage the unique characteristics of the NetSense study to demonstrate how proximity, location, and individual differences (e.g., personality) can play an important role in understanding user behavior.
{"title":"Analyzing the impact of proximity, location, and personality on smartphone usage","authors":"L. Meng, Shu Liu, A. Striegel","doi":"10.1109/INFCOMW.2014.6849247","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849247","url":null,"abstract":"Over the past few years, mobile devices, particularly smartphones have seen dramatic increases in data consumption. The significant increases in data usage have placed tremendous strain on the wireless infrastructure necessitating research across a variety of optimization, efficiency, and capacity improvements. Complementary to those research efforts is the acquisition of a better understanding what aspects drive user smartphone usage. In this paper, we leverage the unique characteristics of the NetSense study to demonstrate how proximity, location, and individual differences (e.g., personality) can play an important role in understanding user behavior.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"5 1","pages":"293-298"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72749790","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}
Pub Date : 2014-07-08DOI: 10.1109/INFCOMW.2014.6849202
D. Denkovski, V. Rakovic, Marko Angjelicinoski, V. Atanasovski, L. Gavrilovska
Recent advances in cognitive radio have identified the small-cells among the most promising future wireless networking scenarios. Utilizing radio context information, small-cells should perform the most optimal radio resource management (RRM) to maximize performances and minimize inter-cell interference. Radio Environmental Maps (REM) data: empirical propagation models, active transmitters' locations, up-to-date interference levels, statistical channels occupancies, are especially beneficial in these scenarios. The proposed demonstration aims to showcase the benefits of using REM information in the small-cell optimization. The demonstration utilizes a modular/flexible REM prototype, performing a realtime REM data acquisition, processing and inference as input to an enhanced small-cell optimization.
{"title":"Small-cells radio resource management based on Radio Environmental Maps","authors":"D. Denkovski, V. Rakovic, Marko Angjelicinoski, V. Atanasovski, L. Gavrilovska","doi":"10.1109/INFCOMW.2014.6849202","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849202","url":null,"abstract":"Recent advances in cognitive radio have identified the small-cells among the most promising future wireless networking scenarios. Utilizing radio context information, small-cells should perform the most optimal radio resource management (RRM) to maximize performances and minimize inter-cell interference. Radio Environmental Maps (REM) data: empirical propagation models, active transmitters' locations, up-to-date interference levels, statistical channels occupancies, are especially beneficial in these scenarios. The proposed demonstration aims to showcase the benefits of using REM information in the small-cell optimization. The demonstration utilizes a modular/flexible REM prototype, performing a realtime REM data acquisition, processing and inference as input to an enhanced small-cell optimization.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"53 1","pages":"155-156"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73779204","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}
Pub Date : 2014-07-08DOI: 10.1109/INFCOMW.2014.6849179
Xiuyan Jiang, Hanyang Pan, D. Ye
End-user Quality of Experience (QoE) monitoring is critical to IP-based commercial TV service. REQMM is a middleware which provides a novel video quality assessment method based on Decode Buffer probing (DBP), service failure detection and Request Response Time (RRT) calculation. DBP probes Transport Stream (TS) packet loss, overflow and underflow at decoder buffer with great accuracy, low CPU, low memory, and low storage requirements. REQMM has been integrated into over eight terminal models and will be put into large-scale commercial TV service of Shanghai Telecom.
{"title":"REQMM : Real-time end-user QoE monitoring middleware for IP-based commercial TV service","authors":"Xiuyan Jiang, Hanyang Pan, D. Ye","doi":"10.1109/INFCOMW.2014.6849179","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849179","url":null,"abstract":"End-user Quality of Experience (QoE) monitoring is critical to IP-based commercial TV service. REQMM is a middleware which provides a novel video quality assessment method based on Decode Buffer probing (DBP), service failure detection and Request Response Time (RRT) calculation. DBP probes Transport Stream (TS) packet loss, overflow and underflow at decoder buffer with great accuracy, low CPU, low memory, and low storage requirements. REQMM has been integrated into over eight terminal models and will be put into large-scale commercial TV service of Shanghai Telecom.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"2014 1","pages":"109-110"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73884808","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}
Pub Date : 2014-07-08DOI: 10.1109/INFCOMW.2014.6849263
M. Dabbagh, B. Hamdaoui, M. Guizani, A. Rayes
We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, provides accurate estimations of the number of needed physical machines, and reduces energy consumption by putting to sleep unneeded physical machines. Our framework is based on real Google traces collected over a 29-day period from a Google cluster containing over 12,500 physical machines. Using this Google data, we show that our proposed framework makes substantial energy savings.
{"title":"Energy-efficient cloud resource management","authors":"M. Dabbagh, B. Hamdaoui, M. Guizani, A. Rayes","doi":"10.1109/INFCOMW.2014.6849263","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849263","url":null,"abstract":"We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, provides accurate estimations of the number of needed physical machines, and reduces energy consumption by putting to sleep unneeded physical machines. Our framework is based on real Google traces collected over a 29-day period from a Google cluster containing over 12,500 physical machines. Using this Google data, we show that our proposed framework makes substantial energy savings.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"42 1","pages":"386-391"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73287051","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}
Pub Date : 2014-07-08DOI: 10.1109/INFCOMW.2014.6849245
Gonzalo Ferrer, H. Méric, José M. Piquer, Javier Bustos-Jiménez
In this article we present the performance evaluation of different algorithms to distribute video frames from network cameras to multiple concurrent clients in real-time. The algorithms evaluated in this paper rely on a pool of buffers shared by all the clients. We implement these algorithms in the VLC media player and study their performance in terms of frame rate, hardware resource usage and decoding errors. Moreover, we compare their performance to the VLC streaming algorithm. Experimental results show that well designed algorithms combined with a sufficient number of buffers significantly outperform the VLC streaming algorithm.
{"title":"Performance evaluation of streaming algorithms for network cameras","authors":"Gonzalo Ferrer, H. Méric, José M. Piquer, Javier Bustos-Jiménez","doi":"10.1109/INFCOMW.2014.6849245","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849245","url":null,"abstract":"In this article we present the performance evaluation of different algorithms to distribute video frames from network cameras to multiple concurrent clients in real-time. The algorithms evaluated in this paper rely on a pool of buffers shared by all the clients. We implement these algorithms in the VLC media player and study their performance in terms of frame rate, hardware resource usage and decoding errors. Moreover, we compare their performance to the VLC streaming algorithm. Experimental results show that well designed algorithms combined with a sufficient number of buffers significantly outperform the VLC streaming algorithm.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"21 1","pages":"281-286"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84731199","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}
Pub Date : 2014-07-08DOI: 10.1109/INFCOMW.2014.6849291
Jianjun Yang, Kun Hua, Yin Wang, Wei Wang, Honggang Wang, Ju Shen
With the explosive growth of Web-based cameras and mobile devices, billions of photographs are uploaded to the Internet. We can trivially collect a huge number of photo streams for various goals, such as 3D scene reconstruction and other big data applications. However, this is not an easy task due to the fact the retrieved photos are neither aligned nor calibrated. Furthermore, with the occlusion of unexpected foreground objects like people, vehicles, it is even more challenging to find feature correspondences and reconstruct realistic scenes. In this paper, we propose a structure-based image completion algorithm for object removal that produces visually plausible content with consistent structure and scene texture. We use an edge matching technique to infer the potential structure of the unknown region. Driven by the estimated structure, texture synthesis is performed automatically along the estimated curves. We evaluate the proposed method on different types of images: from highly structured indoor environment to the natural scenes. Our experimental results demonstrate satisfactory performance that can be potentially used for subsequent big data processing: 3D scene reconstruction and location recognition.
{"title":"Automatic objects removal for scene completion","authors":"Jianjun Yang, Kun Hua, Yin Wang, Wei Wang, Honggang Wang, Ju Shen","doi":"10.1109/INFCOMW.2014.6849291","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849291","url":null,"abstract":"With the explosive growth of Web-based cameras and mobile devices, billions of photographs are uploaded to the Internet. We can trivially collect a huge number of photo streams for various goals, such as 3D scene reconstruction and other big data applications. However, this is not an easy task due to the fact the retrieved photos are neither aligned nor calibrated. Furthermore, with the occlusion of unexpected foreground objects like people, vehicles, it is even more challenging to find feature correspondences and reconstruct realistic scenes. In this paper, we propose a structure-based image completion algorithm for object removal that produces visually plausible content with consistent structure and scene texture. We use an edge matching technique to infer the potential structure of the unknown region. Driven by the estimated structure, texture synthesis is performed automatically along the estimated curves. We evaluate the proposed method on different types of images: from highly structured indoor environment to the natural scenes. Our experimental results demonstrate satisfactory performance that can be potentially used for subsequent big data processing: 3D scene reconstruction and location recognition.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"32 4","pages":"553-558"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91552644","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}
Pub Date : 2014-07-08DOI: 10.1109/INFCOMW.2014.6849181
Yifei Xu, Yue Yan, Zhuyun Dai, Xiaolin Wang
Current data centers often employ SDNs (Software-Defined Networks) that are layered in most cases. However, information overwhelming has been a limitation to SDN deployment. We present a management model for data center networks. In this approach, regional networks on lower layers will be aggregated and viewed as single switches to upper layers. Management information will be divided into three parts, which can be seen by network managers, regional controllers and tenants, respectively.
{"title":"A management model for SDN-based data center networks","authors":"Yifei Xu, Yue Yan, Zhuyun Dai, Xiaolin Wang","doi":"10.1109/INFCOMW.2014.6849181","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849181","url":null,"abstract":"Current data centers often employ SDNs (Software-Defined Networks) that are layered in most cases. However, information overwhelming has been a limitation to SDN deployment. We present a management model for data center networks. In this approach, regional networks on lower layers will be aggregated and viewed as single switches to upper layers. Management information will be divided into three parts, which can be seen by network managers, regional controllers and tenants, respectively.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"6 1","pages":"113-114"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90214639","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}
In the past couple of years, various information-centric networking (ICN) architectures have been proposed to address the existing problems of the current Internet, each of which from a different perspective. Thus, it becomes critical to deploy and interoperate different ICNs on top of the same physical network infrastructure. This demo presents SD-ICN, a software-defined interoperable deployment framework based on Open vSwitch (OVS) for ICN architectures.
{"title":"SD-ICN: An interoperable deployment framework for software-defined information-centric networks","authors":"Jinfan Wang, Wei Gao, Yuqing Liang, Rui Qin, Jianping Wang, Shucheng Liu","doi":"10.1109/INFCOMW.2014.6849199","DOIUrl":"https://doi.org/10.1109/INFCOMW.2014.6849199","url":null,"abstract":"In the past couple of years, various information-centric networking (ICN) architectures have been proposed to address the existing problems of the current Internet, each of which from a different perspective. Thus, it becomes critical to deploy and interoperate different ICNs on top of the same physical network infrastructure. This demo presents SD-ICN, a software-defined interoperable deployment framework based on Open vSwitch (OVS) for ICN architectures.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"89 1","pages":"149-150"},"PeriodicalIF":0.0,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84428265","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：