Load mitigation in cellular data networks by peer data sharing over WLAN channels

Lee, Kang‐Won; Ko, Young-Bae; Nandagopal, Thyaga

doi:10.1016/j.comnet.2004.07.009

Cited by 8 publications

(5 citation statements)

References 33 publications

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“…Our approach of application-layer services in MoB is significantly different from multiple related and prior efforts, namely 7DS [26], UCAN [23], CAPS [19], ORION [16], and iCAR [35]. We present a detailed comparison between MoB and other such approaches in Section 6.…”

Section: Services In Mob-an Application-layer Approachmentioning

confidence: 95%

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A mobile bazaar for wide-area wireless services

et al. 2006

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We introduce MoB, an infrastructure for collaborative wide-area wireless data services. MoB proposes to change the current model of data services in the following fundamental ways: (1) it decouples infrastructure providers from services providers and enables fine-grained competition, (2) it allows service interactions on arbitrary timescales, and, (3) it promotes flexible composition of these fine-grained service interactions based on user and application needs.At the heart of MoB is an open market architecture in which mobile users can opportunistically trade various services with each other in a flexible manner. In this paper we first describe the overall architecture of MoB including various enablers like user reputation management, incentive management, and accounting services. We next present our experience from both simulations as well as our prototype implementation of MoB in enhancing application performance in multiple different scenarios-file transfers, web browsing, media streaming, and location-enhanced services.

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Section: Services In Mob-an Application-layer Approachmentioning

confidence: 95%

“…Lee et al propose a 'virtual cache' for enabling data sharing among mobile hosts in CAPS [19]. CAPS require a subset of nodes to keep track of location of objects.…”

Section: Related Workmentioning

confidence: 99%

A mobile bazaar for wide-area wireless services

et al. 2006

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“…Research on the integration of heterogeneous networksnamely cellular, satellite, and Wi-Fi networks -has focused mostly on inter-system handoffs and on handling inherent TCP/IP unsuitability to challenged environments [7,8]. CAP and APHOHN are examples of architectures built for such purposes [9,10]. In these environments, however, the networks are not utilized to best serve the intermittentlyconnected network.…”

Section: Related Workmentioning

confidence: 99%

Exploiting Parallel Networks Using Dynamic Channel Scheduling

Deek¹,

Almeroth²,

Wittie³

et al. 2008

Proceedings of the 4th International ICST Conference on Wireless Internet

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Many researchers have been focusing on the outcomes and consequences of the rapid increase and proliferation of mobile wireless technologies. If it is not already the case, it will soon be rare for a user to be in a situation where absolutely no network connection exists. In fact, through numerous devices, users will soon expect to be connected in all places at all times. Through the great variety and increase in the capabilities of these devices, it is not a surprise to find a single user with many connection opportunities. As a result, we believe that the next major evolution of wireless mobile networks will be in the exploitation of multiple network connections in parallel. Due to network heterogeneity, the major challenge in such situations is to determine the way that these networks can be utilized to better serve different network applications. In this work, we propose a dynamic channel scheduling mechanism that adapts to the state of the available channels to provide more efficient usage of network connectivity. We do so by observing channel throughput, creating a set of channel usage combinations, and then choosing the most efficient combination. We evaluate an implementation of the proposed mechanism using emulation. Our results show that under realistic conditions our dynamic approach greatly improves cost delay metrics, and the overall user-perceived performance compared to a more static approach.

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“…propose a 'virtual cache' for enabling data sharing among mobile hosts in CAPS [19]. CAPS require a subset of nodes to keep track of location of objects.…”

Section: Related Workmentioning

confidence: 99%

MoB

Chakravorty

Agarwal

Banerjee

et al. 2005

Proceedings of the 11th Annual International Conference on Mobile Computing and Networking

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We introduce MoB, an infrastructure for collaborative wide-area wireless data services. MoB proposes to change the current model of data services in the following fundamental ways: (1) it decouples infrastructure providers from services providers and enables finegrained competition, (2) it allows service interactions on arbitrary timescales, and, (3) it promotes flexible composition of these finegrained service interactions based on user and application needs.At the heart of MoB is an open market architecture in which mobile users can opportunistically trade various services with each other in a flexible manner. In this paper we first describe the overall architecture of MoB including various enablers like user reputation management, incentive management, and accounting services. We next present our experience from both simulations as well as our prototype implementation of MoB in enhancing application performance in multiple different scenarios -file transfers, web browsing, media streaming, and location-enhanced services.

show abstract

Load mitigation in cellular data networks by peer data sharing over WLAN channels

Cited by 8 publications

References 33 publications

A mobile bazaar for wide-area wireless services

A mobile bazaar for wide-area wireless services

Exploiting Parallel Networks Using Dynamic Channel Scheduling

MoB

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