H. Song, Zihui Ge, A. Mahimkar, Jia Wang, J. Yates, Yin Zhang
Recent advances in residential broadband access technologies have led to a wave of commercial IPTV deployments. As IPTV services are rolled out at scale, it is essential for IPTV systems to maintain ultra-high reliability and performance. A major issue that disrupts IPTV service is the crash of the set-top box (STB) software. The STB directly resides inside the consumer's home network and provides the essential interface to both the user and the network to deliver rich content that goes well beyond traditional TV. To understand the potential causes of STB crashes, we perform an indepth statistical analysis focused on the relationships between STB crashes, video stream content, and user activities. Our initial results suggest that (i) impaired video streams may cause STB crashes, and (ii) continuous STB usage may gradually degrade the STB health over time.
{"title":"Analyzing IPTV set-top box crashes","authors":"H. Song, Zihui Ge, A. Mahimkar, Jia Wang, J. Yates, Yin Zhang","doi":"10.1145/2018567.2018575","DOIUrl":"https://doi.org/10.1145/2018567.2018575","url":null,"abstract":"Recent advances in residential broadband access technologies have led to a wave of commercial IPTV deployments. As IPTV services are rolled out at scale, it is essential for IPTV systems to maintain ultra-high reliability and performance. A major issue that disrupts IPTV service is the crash of the set-top box (STB) software. The STB directly resides inside the consumer's home network and provides the essential interface to both the user and the network to deliver rich content that goes well beyond traditional TV. To understand the potential causes of STB crashes, we perform an indepth statistical analysis focused on the relationships between STB crashes, video stream content, and user activities. Our initial results suggest that (i) impaired video streams may cause STB crashes, and (ii) continuous STB usage may gradually degrade the STB health over time.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124658316","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. Defrance, Remy Gendrot, J. L. Roux, G. Straub, Thierry Tapie
Devices forming a Home Network have different capabilities and interfaces, discouraging users to organize their large digital content libraries. To help users, we propose to organize the Home Network according to a gateway-centric architecture, where the content access unification is realized at the file system level and where no additional software installation on devices is required. Solutions for realizing this unification individually exist for the various devices making up the Home Network (UPnP/DLNA devices, personal computers, cloud storage systems, etc). Unifying the content access at the file system level offers a powerful lever for many legacy applications, as far as these applications can access all shared data in the Home Network. Users can thus continue to use their PC's file manager or favorite media player to browse or display shared content. An indexing application, running on the gateway, possibly managed by the ISP and accessible from any device via a simple web interface, enables more powerful content retrieval and user experience. Such application may be enriched to offer additional services like content format adaptation, duplication detection or automatic backup. Lastly we describe how this gateway-centric architecture can be leveraged by cloud applications such as distributed storage systems.
{"title":"Home networking as a distributed file system view","authors":"S. Defrance, Remy Gendrot, J. L. Roux, G. Straub, Thierry Tapie","doi":"10.1145/2018567.2018583","DOIUrl":"https://doi.org/10.1145/2018567.2018583","url":null,"abstract":"Devices forming a Home Network have different capabilities and interfaces, discouraging users to organize their large digital content libraries. To help users, we propose to organize the Home Network according to a gateway-centric architecture, where the content access unification is realized at the file system level and where no additional software installation on devices is required. Solutions for realizing this unification individually exist for the various devices making up the Home Network (UPnP/DLNA devices, personal computers, cloud storage systems, etc). Unifying the content access at the file system level offers a powerful lever for many legacy applications, as far as these applications can access all shared data in the Home Network. Users can thus continue to use their PC's file manager or favorite media player to browse or display shared content. An indexing application, running on the gateway, possibly managed by the ISP and accessible from any device via a simple web interface, enables more powerful content retrieval and user experience. Such application may be enriched to offer additional services like content format adaptation, duplication detection or automatic backup. Lastly we describe how this gateway-centric architecture can be leveraged by cloud applications such as distributed storage systems.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129483546","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}
The availability of unlicensed spectrum coupled with the increasing popularity of wireless communication has given rise to a diverse range of wireless technologies that compete for spectrum. In particular, 802.11 devices face a host of problems such as interference with other 802.11 devices (hidden terminals) as well as with technologies like Bluetooth and ZigBee. Understanding how the medium is utilized and inferring the cause of interference, based on observations from a single wireless node, is hard. Past work has used monitoring infrastructures to detect interference between 802.11 nodes in enterprise networks. In this paper, we try to answer the question: "how can we enable users to reason about wireless performance variations without requiring elaborate instrumentation and infrastructure support?". We propose WiMed, a tool that uses only local measurements from commodity 802.11 NICs (at the node being diagnosed) to construct a time map of how the medium is utilized. We have implemented a WiMed prototype using the MadWifi driver for Atheros NICs. Early results show that WiMed is useful and can characterize non-802.11 interference better than existing systems.
{"title":"Understanding 802.11 performance in heterogeneous environments","authors":"K. Lakshminarayanan, S. Seshan, P. Steenkiste","doi":"10.1145/2018567.2018577","DOIUrl":"https://doi.org/10.1145/2018567.2018577","url":null,"abstract":"The availability of unlicensed spectrum coupled with the increasing popularity of wireless communication has given rise to a diverse range of wireless technologies that compete for spectrum. In particular, 802.11 devices face a host of problems such as interference with other 802.11 devices (hidden terminals) as well as with technologies like Bluetooth and ZigBee. Understanding how the medium is utilized and inferring the cause of interference, based on observations from a single wireless node, is hard. Past work has used monitoring infrastructures to detect interference between 802.11 nodes in enterprise networks. In this paper, we try to answer the question: \"how can we enable users to reason about wireless performance variations without requiring elaborate instrumentation and infrastructure support?\". We propose WiMed, a tool that uses only local measurements from commodity 802.11 NICs (at the node being diagnosed) to construct a time map of how the medium is utilized. We have implemented a WiMed prototype using the MadWifi driver for Atheros NICs. Early results show that WiMed is useful and can characterize non-802.11 interference better than existing systems.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132447440","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}
IEEE 802.11 wireless networks become increasing more complex and interesting inside homes. A number of home automation, home security, and entertainment products rely on wireless technologies for easy deployment without the need for wiring. Moreover, a number of such applications are fundamentally changing the traffic mix of a home wireless network, resulting in uplink traffic that is not only triggered by the users but that could potentially be nearly continuous in nature, such as wireless home security products, where each individual camera is likely to stream large amounts of data in high traffic areas. Given the diversity of traffic sources and their importance to the user, wireless home APs today can ship with Wireless Multimedia (WMM) support that prioritizes VoIP and video traffic for better user experience. In this paper, however, we note that the type and importance of applications to a home user may be much more diverse than 4 traffic classes could accommodate. In response, we survey the landscape of possible solution in particular when it comes to pacing traffic sources inside the network. We discuss the tradeoffs that such a design space exposes and test the performance of several solutions using ns3 simulations. Finally, we note that instead of a strict prioritization of traffic streams, a simple mechanism by which the user can pace traffic to provision more resource to the traffic of importance may be sufficient.
{"title":"Uplink traffic control in home 802.11 wireless networks","authors":"Yanlin Li, K. Papagiannaki, Anmol Sheth","doi":"10.1145/2018567.2018580","DOIUrl":"https://doi.org/10.1145/2018567.2018580","url":null,"abstract":"IEEE 802.11 wireless networks become increasing more complex and interesting inside homes. A number of home automation, home security, and entertainment products rely on wireless technologies for easy deployment without the need for wiring. Moreover, a number of such applications are fundamentally changing the traffic mix of a home wireless network, resulting in uplink traffic that is not only triggered by the users but that could potentially be nearly continuous in nature, such as wireless home security products, where each individual camera is likely to stream large amounts of data in high traffic areas.\u0000 Given the diversity of traffic sources and their importance to the user, wireless home APs today can ship with Wireless Multimedia (WMM) support that prioritizes VoIP and video traffic for better user experience. In this paper, however, we note that the type and importance of applications to a home user may be much more diverse than 4 traffic classes could accommodate. In response, we survey the landscape of possible solution in particular when it comes to pacing traffic sources inside the network. We discuss the tradeoffs that such a design space exposes and test the performance of several solutions using ns3 simulations. Finally, we note that instead of a strict prioritization of traffic streams, a simple mechanism by which the user can pace traffic to provision more resource to the traffic of importance may be sufficient.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124912098","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}
Yiannis Yiakoumis, Kok-Kiong Yap, S. Katti, G. Parulkar, N. McKeown
Despite the popularity of home networks, they face a number of systemic problems: (i)Broadband networks are expensive to deploy; and it is not clear how the cost can be shared by several service providers; (ii) Home networks are getting harder to manage as we connect more devices, use new applications, and rely on them for entertainment, communication and work|it is common for home networks to be poorly managed, insecure or just plain broken; and (iii) It is not clear how home networks will steadily improve, after they have been deployed, to provide steadily better service to home users. In this paper we propose slicing home networks as a way to overcome these problems. As a mechanism, slicing allows multiple service providers to share a common infrastructure; and supports many policies and business models for cost sharing. We propose four requirements for slicing home networks: bandwidth and traffic isolation between slices, independent control of each slice, and the ability to modify and improve the behavior of a slice. We explore how these requirements allow cost-sharing, outsourced management of home networks, and the ability to customize a slice to provide higher-quality service. Finally, we describe an initial prototype that we are deploying in homes.
{"title":"Slicing home networks","authors":"Yiannis Yiakoumis, Kok-Kiong Yap, S. Katti, G. Parulkar, N. McKeown","doi":"10.1145/2018567.2018569","DOIUrl":"https://doi.org/10.1145/2018567.2018569","url":null,"abstract":"Despite the popularity of home networks, they face a number of systemic problems: (i)Broadband networks are expensive to deploy; and it is not clear how the cost can be shared by several service providers; (ii) Home networks are getting harder to manage as we connect more devices, use new applications, and rely on them for entertainment, communication and work|it is common for home networks to be poorly managed, insecure or just plain broken; and (iii) It is not clear how home networks will steadily improve, after they have been deployed, to provide steadily better service to home users.\u0000 In this paper we propose slicing home networks as a way to overcome these problems. As a mechanism, slicing allows multiple service providers to share a common infrastructure; and supports many policies and business models for cost sharing. We propose four requirements for slicing home networks: bandwidth and traffic isolation between slices, independent control of each slice, and the ability to modify and improve the behavior of a slice. We explore how these requirements allow cost-sharing, outsourced management of home networks, and the ability to customize a slice to provide higher-quality service. Finally, we describe an initial prototype that we are deploying in homes.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130361951","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. Sundaresan, N. Feamster, R. Teixeira, Anthony Tang, W., Keith Edwards, Rebecca E. Grinter, M. Chetty, Walter de Donato
When purchasing home broadband access from Internet service providers (ISPs), users must decide which service plans are most appropriate for their needs. Today, ISPs advertise their available service plans using only generic upload and download speeds. Unfortunately, these metrics do not always accurately reflect the varying performance that home users will experience for a wide range of applications. In this paper, we propose that each ISP service plan carry a "nutrition label" that conveys more comprehensive information about network metrics along many dimensions, including various aspects of throughput, latency, loss rate, and jitter. We first justify why these metrics should form the basis of a network nutrition label. Then, we demonstrate that current plans that are superficially similar with respect to advertised download rates may have different performance according to the label metrics. We close with a discussion of the challenges involved in presenting a nutrition label to users in a way that is both accurate and easy to understand.
{"title":"Helping users shop for ISPs with internet nutrition labels","authors":"S. Sundaresan, N. Feamster, R. Teixeira, Anthony Tang, W., Keith Edwards, Rebecca E. Grinter, M. Chetty, Walter de Donato","doi":"10.1145/2018567.2018571","DOIUrl":"https://doi.org/10.1145/2018567.2018571","url":null,"abstract":"When purchasing home broadband access from Internet service providers (ISPs), users must decide which service plans are most appropriate for their needs. Today, ISPs advertise their available service plans using only generic upload and download speeds. Unfortunately, these metrics do not always accurately reflect the varying performance that home users will experience for a wide range of applications. In this paper, we propose that each ISP service plan carry a \"nutrition label\" that conveys more comprehensive information about network metrics along many dimensions, including various aspects of throughput, latency, loss rate, and jitter. We first justify why these metrics should form the basis of a network nutrition label. Then, we demonstrate that current plans that are superficially similar with respect to advertised download rates may have different performance according to the label metrics. We close with a discussion of the challenges involved in presenting a nutrition label to users in a way that is both accurate and easy to understand.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"43 S204","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132227712","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}
Home clients can use their access to the Internet for different purposes such as file sharing via P2P applications, gaming, or Web browsing; the last one is the focus of this work. When browsing the Web, the time elapsed between the click on a URL and the rendering of the Web page, referred to as page load time, is the key performance metric. When the page load time is higher than a few seconds, the user experience suffers significantly. We have developed a three-tier system that (i) captures in the browser the events necessary to measure the page load time (ii) captures at the network access all incoming and outgoing packets, and (iii) correlates the measurements made at different machines. The capture at packet level allows us to compute the contribution of the various steps that affect the page load time such as DNS resolution, server response time, data transfer time. Correlating the observations made at different machines that share a major part of the network elements can help identifying the root causes for high page load times. We will present the architecture of our system and some examples that illustrate its use.
{"title":"Trouble shooting interactive web sessions in a home environment","authors":"Heng Cui, E. Biersack","doi":"10.1145/2018567.2018574","DOIUrl":"https://doi.org/10.1145/2018567.2018574","url":null,"abstract":"Home clients can use their access to the Internet for different purposes such as file sharing via P2P applications, gaming, or Web browsing; the last one is the focus of this work. When browsing the Web, the time elapsed between the click on a URL and the rendering of the Web page, referred to as page load time, is the key performance metric. When the page load time is higher than a few seconds, the user experience suffers significantly. We have developed a three-tier system that (i) captures in the browser the events necessary to measure the page load time (ii) captures at the network access all incoming and outgoing packets, and (iii) correlates the measurements made at different machines. The capture at packet level allows us to compute the contribution of the various steps that affect the page load time such as DNS resolution, server response time, data transfer time. Correlating the observations made at different machines that share a major part of the network elements can help identifying the root causes for high page load times. We will present the architecture of our system and some examples that illustrate its use.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"192 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116782643","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}
Today's services in home networks are no longer limited to basic applications such as email or file transfer but also include multimedia delivery for supporting home entertainment. In addition, wireless network is wide spreading in home as users become mobile and now expect to run their applications in wireless environment the same way they do over wired network. As a consequence, entertainment services should be guaranteed in home wireless networks as well. Ensuring quality of service raises new challenges as open wireless conditions result in instability and vulnerability to all types of interference and disturbance. Especially, IPTV application requires not only throughput but also stability on a wide coverage area and with low packet loss. Therefore, good reception level needs to be guaranteed in the whole house in order to use the highest modulation, and interferences need to be controlled when several transmitters share the same channel. In this paper, we present a new architecture for future home networks, in which multiple access points can be easily deployed on the same channel with coordination established to provide reliable transmission of several IPTV applications in the house. The mechanism is built on top of the DCF and has two main advantages: fully compatible with 802.11 standard and applicable to downlink and uplink streams. For our case study, we use NS-3 to evaluate performances of the Coordinated-APs compared to Single-AP and Distributed-APs approaches, in realistic home environment. The obtained results demonstrate better channel utilization and collision reduction that guarantee four IPTV streams in the coordinated approach. Behaviors at lower layers are presented in order to provide a better understanding of resource utilization. Moreover, discussions about feasibility of the solution in real world scenario are also provided.
{"title":"Coordinated architecture for wireless home networks","authors":"Kandaraj Piamrat, P. Fontaine","doi":"10.1145/2018567.2018579","DOIUrl":"https://doi.org/10.1145/2018567.2018579","url":null,"abstract":"Today's services in home networks are no longer limited to basic applications such as email or file transfer but also include multimedia delivery for supporting home entertainment. In addition, wireless network is wide spreading in home as users become mobile and now expect to run their applications in wireless environment the same way they do over wired network. As a consequence, entertainment services should be guaranteed in home wireless networks as well. Ensuring quality of service raises new challenges as open wireless conditions result in instability and vulnerability to all types of interference and disturbance. Especially, IPTV application requires not only throughput but also stability on a wide coverage area and with low packet loss. Therefore, good reception level needs to be guaranteed in the whole house in order to use the highest modulation, and interferences need to be controlled when several transmitters share the same channel. In this paper, we present a new architecture for future home networks, in which multiple access points can be easily deployed on the same channel with coordination established to provide reliable transmission of several IPTV applications in the house. The mechanism is built on top of the DCF and has two main advantages: fully compatible with 802.11 standard and applicable to downlink and uplink streams. For our case study, we use NS-3 to evaluate performances of the Coordinated-APs compared to Single-AP and Distributed-APs approaches, in realistic home environment. The obtained results demonstrate better channel utilization and collision reduction that guarantee four IPTV streams in the coordinated approach. Behaviors at lower layers are presented in order to provide a better understanding of resource utilization. Moreover, discussions about feasibility of the solution in real world scenario are also provided.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127104914","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}
Homes powered fully or partially by renewable sources such as solar are becoming more widely adopted, however energy management strategies in these environments are lacking. This paper presents the first results of a study that explores home automation techniques for achieving better utilization of energy generated by renewable technologies. First, using a network of off-the-shelf sensing devices, we observe that energy generation and consumption in an off-grid home is both variable and predictable. Moreover, we find that reactive energy management techniques are insufficient to prevent critical battery situations. We then present a recommendation based system for helping users to achieve better utilization of resources. Our study demonstrates the feasibility of three recommendation components: an early warning system that allows users of renewable technologies to make more conservative decisions when energy harvested is predicted to be low; a task rescheduling system that advises users when high-power appliances such as clothes dryers should be run to optimize overall energy utilization; and an energy conservation system that identifies sources of energy waste and recommends more conservative usage.
{"title":"Automating energy management in green homes","authors":"Nilanjan Banerjee, Sami Rollins, Kevin Moran","doi":"10.1145/2018567.2018572","DOIUrl":"https://doi.org/10.1145/2018567.2018572","url":null,"abstract":"Homes powered fully or partially by renewable sources such as solar are becoming more widely adopted, however energy management strategies in these environments are lacking. This paper presents the first results of a study that explores home automation techniques for achieving better utilization of energy generated by renewable technologies. First, using a network of off-the-shelf sensing devices, we observe that energy generation and consumption in an off-grid home is both variable and predictable. Moreover, we find that reactive energy management techniques are insufficient to prevent critical battery situations. We then present a recommendation based system for helping users to achieve better utilization of resources. Our study demonstrates the feasibility of three recommendation components: an early warning system that allows users of renewable technologies to make more conservative decisions when energy harvested is predicted to be low; a task rescheduling system that advises users when high-power appliances such as clothes dryers should be run to optimize overall energy utilization; and an energy conservation system that identifies sources of energy waste and recommends more conservative usage.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128430186","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}
The amount of data that home users generate, store, and share with their friends via a multitude of devices has grown significantly in the past few years. In our paper, we assume that every household is equipped with a home gateway that stores and manages the data collected by the home users. To accelerate the content sharing and backup for such users, we propose an efficient backup scheme that hinges upon gateway interactions exploiting the users' social networking in- formation. We formulate this problem as a Budgeted Maximum Coverage (BMC) problem and we numerically compute the optimal content backup solution under a synthetic social network scenario. Then, we compare it with two different content placement strategies for gateways with various quota sizes, in a realistic synthetic social network.
{"title":"Socially-aware gateway-based content sharing and backup","authors":"Jin Jiang, C. Casetti","doi":"10.1145/2018567.2018582","DOIUrl":"https://doi.org/10.1145/2018567.2018582","url":null,"abstract":"The amount of data that home users generate, store, and share with their friends via a multitude of devices has grown significantly in the past few years. In our paper, we assume that every household is equipped with a home gateway that stores and manages the data collected by the home users. To accelerate the content sharing and backup for such users, we propose an efficient backup scheme that hinges upon gateway interactions exploiting the users' social networking in- formation. We formulate this problem as a Budgeted Maximum Coverage (BMC) problem and we numerically compute the optimal content backup solution under a synthetic social network scenario. Then, we compare it with two different content placement strategies for gateways with various quota sizes, in a realistic synthetic social network.","PeriodicalId":301655,"journal":{"name":"HomeNets '11","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129391617","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}
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