Ashok Anand, Aaron Gember, Aditya Akella, V. Sekar
The amount of data that home users generate, store, and peruse has grown significantly in the past few years. Increasingly, organizing this huge amount of data - in order to make it easy to browse, query and access - is becoming challenging. Many recent proposals have emphasized the importance of data management in home networks and proposed mechanisms for managing replicas across devices to increase availability. Essentially, they capture the relationship "is copy of" between files across devices. However, files can be semantically related. Users are often interested in finding data that has such semantic relationships; tracking these relationships helps users to effectively search based on content or human-understandable context, organize data and manage the limited storage while ensuring availability of information. However, inferring semantic relationships just based on user-defined tags and file names can be challenging, since users may not follow any standard or unique naming conventions. We argue that such semantic relationships should be derived on the basis of content itself, and propose to leverage recent developments in multimedia processing literature, with minimal user involvement. The decentralized, heterogeneous and dynamic operational environment of home networks present interesting systems and network challenges. In this paper, we have highlighted several candidate designs and system-optimizations that can help build an effective semantic-aware data management for home networks. As ongoing work, we are working on a prototype implementation of a decentralized data management system.
{"title":"Tracking semantic relationships for effective data management in home networks","authors":"Ashok Anand, Aaron Gember, Aditya Akella, V. Sekar","doi":"10.1145/1851307.1851320","DOIUrl":"https://doi.org/10.1145/1851307.1851320","url":null,"abstract":"The amount of data that home users generate, store, and peruse has grown significantly in the past few years. Increasingly, organizing this huge amount of data - in order to make it easy to browse, query and access - is becoming challenging. Many recent proposals have emphasized the importance of data management in home networks and proposed mechanisms for managing replicas across devices to increase availability. Essentially, they capture the relationship \"is copy of\" between files across devices. However, files can be semantically related. Users are often interested in finding data that has such semantic relationships; tracking these relationships helps users to effectively search based on content or human-understandable context, organize data and manage the limited storage while ensuring availability of information. However, inferring semantic relationships just based on user-defined tags and file names can be challenging, since users may not follow any standard or unique naming conventions. We argue that such semantic relationships should be derived on the basis of content itself, and propose to leverage recent developments in multimedia processing literature, with minimal user involvement. The decentralized, heterogeneous and dynamic operational environment of home networks present interesting systems and network challenges. In this paper, we have highlighted several candidate designs and system-optimizations that can help build an effective semantic-aware data management for home networks. As ongoing work, we are working on a prototype implementation of a decentralized data management system.","PeriodicalId":287385,"journal":{"name":"HomeNets '10","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122026101","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 growth of home and small enterprise networks brings with it a large number of devices and networks that are either managed poorly or not at all. Hosts on these networks may become compromised and become sources of spam, denial-of-service traffic, or the site of a scam or phishing attack site. Although a typical user now knows how to apply software updates and run anti-virus software, these techniques still require user vigilance, and they offer no recourse when a machine ultimately becomes compromised. Rather than having individual networks managed independently, we propose to outsource the management and operation of these networks to a third party that has both operations expertise and a broader view of network activity. Our approach harnesses two trends: (1) the advent of programmable network switches, which offer flexibility and the possibility for remote management; and (2) the increasing application of distributed network monitoring and inference algorithms to network security problems (an appealing technique because of its ability to reveal coordinated behavior that may represent an attack).
{"title":"Outsourcing home network security","authors":"N. Feamster","doi":"10.1145/1851307.1851317","DOIUrl":"https://doi.org/10.1145/1851307.1851317","url":null,"abstract":"The growth of home and small enterprise networks brings with it a large number of devices and networks that are either managed poorly or not at all. Hosts on these networks may become compromised and become sources of spam, denial-of-service traffic, or the site of a scam or phishing attack site. Although a typical user now knows how to apply software updates and run anti-virus software, these techniques still require user vigilance, and they offer no recourse when a machine ultimately becomes compromised. Rather than having individual networks managed independently, we propose to outsource the management and operation of these networks to a third party that has both operations expertise and a broader view of network activity. Our approach harnesses two trends: (1) the advent of programmable network switches, which offer flexibility and the possibility for remote management; and (2) the increasing application of distributed network monitoring and inference algorithms to network security problems (an appealing technique because of its ability to reveal coordinated behavior that may represent an attack).","PeriodicalId":287385,"journal":{"name":"HomeNets '10","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125059622","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}
Andreas Müller, Holger Kinkelin, S. Ghai, G. Carle
Home networks differ from most other networks since they are usually administrated by inexperienced users. Today, protocols such as Universal Plug and Play (UPnP) support zero-configuration networking and are used for data-sharing and entertainment. However, security mechanisms are neglected and are not integrated into current UPnP devices. This becomes even more of an issue when we think of future interconnected home networks where many users and devices will interact. A possible successor of UPnP, the Devices Profile for Web Services (DPWS), is built upon the standard Web-Services(WS) stack and thus also provides WS-Security. However, the configuration of fine-grained access rights for DPWS actions (e.g. for browsing through a media collection) is not defined. This paper describes how to use DPWS and the security framework XACML as a basis for a secure service infrastructure for future home networks. Templates for policies can be auto-generated and a trust model based on X.509 certificates is used for identifying devices and for the interconnection of multiple home networks.
{"title":"A secure service infrastructure for interconnecting future home networks based on DPWS and XACML","authors":"Andreas Müller, Holger Kinkelin, S. Ghai, G. Carle","doi":"10.1145/1851307.1851315","DOIUrl":"https://doi.org/10.1145/1851307.1851315","url":null,"abstract":"Home networks differ from most other networks since they are usually administrated by inexperienced users. Today, protocols such as Universal Plug and Play (UPnP) support zero-configuration networking and are used for data-sharing and entertainment. However, security mechanisms are neglected and are not integrated into current UPnP devices. This becomes even more of an issue when we think of future interconnected home networks where many users and devices will interact. A possible successor of UPnP, the Devices Profile for Web Services (DPWS), is built upon the standard Web-Services(WS) stack and thus also provides WS-Security. However, the configuration of fine-grained access rights for DPWS actions (e.g. for browsing through a media collection) is not defined. This paper describes how to use DPWS and the security framework XACML as a basis for a secure service infrastructure for future home networks. Templates for policies can be auto-generated and a trust model based on X.509 certificates is used for identifying devices and for the interconnection of multiple home networks.","PeriodicalId":287385,"journal":{"name":"HomeNets '10","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134347029","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 this paper, we report on the tools that users currently rely on for their home network management, the usability problems with those tools, and some desirable features for a tool for householders. The data was collected from 25 home network users in Atlanta, USA. The results of this study provide initial clues on the practices of home network management of householders, as well as design implications for future kinds of home network management tools.
{"title":"A study on network management tools of householders","authors":"Jeonghwa Yang, W. K. Edwards","doi":"10.1145/1851307.1851309","DOIUrl":"https://doi.org/10.1145/1851307.1851309","url":null,"abstract":"In this paper, we report on the tools that users currently rely on for their home network management, the usability problems with those tools, and some desirable features for a tool for householders. The data was collected from 25 home network users in Atlanta, USA. The results of this study provide initial clues on the practices of home network management of householders, as well as design implications for future kinds of home network management tools.","PeriodicalId":287385,"journal":{"name":"HomeNets '10","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132210413","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 unprecedented growth of the mobile (Smart)phone industry that comes together with the corresponding application development market has made apparent that mobile networking through 3G links is just about to reach an unbreakable limit, in terms of network capacity. The networking research community has recently started considering alternative connectivity approaches to support and boost the performance of mobile networking. In particular, researchers have identified a big amount of "power", hidden at the edges of the network, which remains there unexploited and is no other than the WiFi technology deployed in home-networks. We explore incentives and algorithms for Broadband Access Sharing to support nomadic users and show that ubiquitous connectivity in densely populated areas is already possible, since the infrastructure is already there, waiting to be used.
{"title":"Incentives and algorithms for broadband access sharing","authors":"L. Mamatas, I. Psaras, G. Pavlou","doi":"10.1145/1851307.1851312","DOIUrl":"https://doi.org/10.1145/1851307.1851312","url":null,"abstract":"The unprecedented growth of the mobile (Smart)phone industry that comes together with the corresponding application development market has made apparent that mobile networking through 3G links is just about to reach an unbreakable limit, in terms of network capacity. The networking research community has recently started considering alternative connectivity approaches to support and boost the performance of mobile networking. In particular, researchers have identified a big amount of \"power\", hidden at the edges of the network, which remains there unexploited and is no other than the WiFi technology deployed in home-networks. We explore incentives and algorithms for Broadband Access Sharing to support nomadic users and show that ubiquitous connectivity in densely populated areas is already possible, since the infrastructure is already there, waiting to be used.","PeriodicalId":287385,"journal":{"name":"HomeNets '10","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129645688","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}
60 GHz radio technology is highly promising since it can offer multi-Gbps data rate for short range wireless communication. Hence it is able to support in-home wireless multimedia applications such as high-definition video streaming, ultra high speed content downloads, etc. Hitherto, the main research efforts have been on 60 GHz physical layer design and channel model investigations. However, the unique properties of 60 GHz radio, viz, the use of directional antennas and link blockage problem impose new challenges for the higher layer protocol design. We explore the suitability of 60 GHz radio technology for in-home networks. In this paper we provide a comprehensive overview regarding medium access control related protocol design issues. Moreover, we also identify a number of directions which are helpful to develop the future architecture as well as technology to realize the grand vision of 60 GHz home networks.
{"title":"Exploring the suitability of 60 GHz radio for building in-home networks","authors":"Xueli An, R. V. Prasad, I. Niemegeers","doi":"10.1145/1851307.1851314","DOIUrl":"https://doi.org/10.1145/1851307.1851314","url":null,"abstract":"60 GHz radio technology is highly promising since it can offer multi-Gbps data rate for short range wireless communication. Hence it is able to support in-home wireless multimedia applications such as high-definition video streaming, ultra high speed content downloads, etc. Hitherto, the main research efforts have been on 60 GHz physical layer design and channel model investigations. However, the unique properties of 60 GHz radio, viz, the use of directional antennas and link blockage problem impose new challenges for the higher layer protocol design. We explore the suitability of 60 GHz radio technology for in-home networks. In this paper we provide a comprehensive overview regarding medium access control related protocol design issues. Moreover, we also identify a number of directions which are helpful to develop the future architecture as well as technology to realize the grand vision of 60 GHz home networks.","PeriodicalId":287385,"journal":{"name":"HomeNets '10","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130610317","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}
Parminder Chhabra, Nikolaos Laoutaris, P. Rodriguez, Ravi Sundaram
Internet traffic to homes is surging, driven by the demand for rich content and the proliferation of home networks. This creates a huge problem for ISPs since residential customers expect the certainty of a fixed bill while ISPs do not want to upgrade backhaul equipment frequently in the absence of extra revenue streams. We consider simple variants on existing flat-rate schemes that will enable homes to self-select a portion of their peak hours traffic and move it to non-peak hours to benefit from offered incentives. We present a well-defined formulation of the problem and characterize its computational complexity. We show that a simple fractional algorithm achieves the optimal traffic reallocation and is realizable with small modifications to existing infrastructure. The fractional model also captures the reality that homes may be willing to move a fraction of their delay-tolerant traffic in response to appropriate incentives. Using trace-driven simulations based on well-accepted utility models and actual backbone traffic from a large ISP, we demonstrate that our incentive scheme can substantially lower peak congestion while still satisfying the increased demand of home networks.
{"title":"Home is where the (fast) internet is: flat-rate compatible incentives for reducing peak load","authors":"Parminder Chhabra, Nikolaos Laoutaris, P. Rodriguez, Ravi Sundaram","doi":"10.1145/1851307.1851311","DOIUrl":"https://doi.org/10.1145/1851307.1851311","url":null,"abstract":"Internet traffic to homes is surging, driven by the demand for rich content and the proliferation of home networks. This creates a huge problem for ISPs since residential customers expect the certainty of a fixed bill while ISPs do not want to upgrade backhaul equipment frequently in the absence of extra revenue streams. We consider simple variants on existing flat-rate schemes that will enable homes to self-select a portion of their peak hours traffic and move it to non-peak hours to benefit from offered incentives. We present a well-defined formulation of the problem and characterize its computational complexity. We show that a simple fractional algorithm achieves the optimal traffic reallocation and is realizable with small modifications to existing infrastructure. The fractional model also captures the reality that homes may be willing to move a fraction of their delay-tolerant traffic in response to appropriate incentives. Using trace-driven simulations based on well-accepted utility models and actual backbone traffic from a large ISP, we demonstrate that our incentive scheme can substantially lower peak congestion while still satisfying the increased demand of home networks.","PeriodicalId":287385,"journal":{"name":"HomeNets '10","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134598612","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}
This paper performs controlled experiments to analyze the performance of home networks. We show that the home network has a significant impact on end-to-end performance. For example, watching TV can double the time to download a file; and deploying a wireless network significantly increases round-trip times. Despite its impact on end-to-end performance, most existing diagnosis tools ignore the home network when identifying the cause of performance problems. To make matters worse, our results show that simple techniques that directly probe the home gateway cannot reliably identify that the home network is the cause of performance degradation. We are currently designing a technique based on packet bursts to identify performance problems caused by the home network. Our results for Ethernet based home networks are encouraging.
{"title":"Impact of home networks on end-to-end performance: controlled experiments","authors":"Lucas DiCioccio, R. Teixeira, C. Rosenberg","doi":"10.1145/1851307.1851310","DOIUrl":"https://doi.org/10.1145/1851307.1851310","url":null,"abstract":"This paper performs controlled experiments to analyze the performance of home networks. We show that the home network has a significant impact on end-to-end performance. For example, watching TV can double the time to download a file; and deploying a wireless network significantly increases round-trip times. Despite its impact on end-to-end performance, most existing diagnosis tools ignore the home network when identifying the cause of performance problems. To make matters worse, our results show that simple techniques that directly probe the home gateway cannot reliably identify that the home network is the cause of performance degradation. We are currently designing a technique based on packet bursts to identify performance problems caused by the home network. Our results for Ethernet based home networks are encouraging.","PeriodicalId":287385,"journal":{"name":"HomeNets '10","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116702078","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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