Exploiting Location and Contextual Information to Develop a Comprehensive Framework for Proactive Handover in Heterogeneous Environments

Mapp, Glenford; Katsriku, Ferdinand Apietu; Aiash, Mahdi; Chinnam, N.; Lopes, Roseli de Deus; Moreira, Edson S.; Vanni, Renata Maria Porto; Augusto, Mário

doi:10.1155/2012/748163

Cited by 20 publications

(17 citation statements)

References 24 publications

(27 reference statements)

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“…In this paper, we shall be using the concept of Network Dwell Time [11] (NDT) which is an estimate of how long we are expecting a mobile user to stay connected to an AS before moving past its range and connecting to another network. If we know how much traffic a user is generating, we can calculate the load on the network for the duration of NDT and we can then adjust the caching dynamically to compensate for it.…”

Section: Mobility and Qosmentioning

confidence: 99%

Dynamic Edge-Caching for Mobile Users: Minimising Inter-AS traffic by Moving Cloud Services and VMs

Sardis

Mapp²,

Loo

et al. 2014

2014 28th International Conference on Advanced Information Networking and Applications Workshops

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In recent years, Cloud technology has revolutionized the way services are delivered to end-users. The advent of truly mobile computing in the form of smartphones and tablets has also driven the demand for Cloud resources in order to compensate for the inherent lack of local resources on these devices. Furthermore, modern mobile devices are equipped with multiple network interfaces and in combination with the rapid deployment of wireless networks, it is expected that they will always have Internet connectivity and access to Cloud resources. In this paper we will focus on traffic management for interactive multimedia services accessed by a mobile user by means of dynamic migration of a Virtual Machine. Network performance measurements are taken from a network of virtualization-enabled hosts that perform live migrations of a Virtual Machine which hosts multimedia content. The data is used as input to an equation that determines whether a migration would be beneficial in terms of traffic localization based on a user's mobility characteristics and network usage patterns. The contribution of this paper lies in the proposed mechanism of managing traffic for interactive services in the context of mobile cloud computing. This helps alleviate the increased network costs introduced by dynamic migrations driven by Quality of Service parameters and may result in increased network traffic for the benefit of improved QoS.

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Section: Mobility and Qosmentioning

confidence: 99%

Dynamic Edge-Caching for Mobile Users: Minimising Inter-AS traffic by Moving Cloud Services and VMs

Sardis

Mapp²,

Loo

et al. 2014

2014 28th International Conference on Advanced Information Networking and Applications Workshops

View full text Add to dashboard Cite

show abstract

“…In [12] Mapp et al show that when a user's velocity and a network's area coverage are known, we can estimate for how long the user will be within the network's boundaries. The result is an estimation of the user's Network Dwell Time (NDT) which is then used for the purpose of allocating network resources proactively.…”

Section: B Mobility Contextmentioning

confidence: 99%

Dynamic Traffic Management for Interactive Cloud Services: Localising Traffic Based on Network Throughput and User Mobility

Sardis

Mapp

Loo

et al. 2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

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Traffic localisation is an important aspect of traffic management on the Internet. The caching of content and its distribution from localised servers is one mechanism that enables traffic localisation and reduces transit costs for network providers while enhancing service performance. However, personalized, dynamic user content is often uncacheable due to its nature. As we move towards a world of constantly connected mobile devices, these devices will focus more towards Cloud services as a means of adding capabilities that would otherwise be impossible to have in a small mobile package. This leaves us with the potential problem of having to deal with un-cacheable traffic from real-time interactive Cloud services that causes congestion on a global scale. In this paper we present a solution that considers the scenario of an interactive, personal service running on the Cloud and accessed by a mobile user. We attempt to localise traffic by moving the virtual machine in response to the user's estimated network dwell time. Results gathered from a prototype platform are presented as proof of the concept.

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“…Most papers assume that handover does not take a significant time and does not affect overall VANET operation. The Y-Comm architecture [11] was developed to explore proactive handover issues in future mobile networks. It has introduced an advanced handover classification system as well as new concepts such as network dwell time (NDT), time before handover (T BH ) and exit time (ET) [12].…”

Section: Introductionmentioning

confidence: 99%

Exploring efficient seamless handover in VANET systems using network dwell time

Ghosh

Paranthaman

Mapp

et al. 2014

J Wireless Com Network

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Vehicular ad hoc networks are a long-term solution contributing significantly towards intelligent transport systems (ITS) in providing access to critical life-safety applications and services. Although vehicular ad hoc networks are attracting greater commercial interest, current research has not adequately captured the real-world constraints in vehicular ad hoc network handover techniques. Therefore, in order to have the best practice for vehicular ad hoc network services, it is necessary to have seamless connectivity for optimal coverage and ideal channel utilisation. Due to the high velocity of vehicles and smaller coverage distances, there are serious challenges in providing seamless handover from one roadside unit (RSU) to another. Though other research efforts have looked at many issues in vehicular ad hoc networks (VANETs), very few research work have looked at handover issues. Most literature assume that handover does not take a significant time and does not affect the overall VANET operation. In our previous work, we started to investigate these issues. This journal provides a more comprehensive analysis involving the beacon frequency, the size of beacon and the velocity of the vehicle. We used some of the concepts of Y-Comm architecture such as network dwell time (NDT), time before handover (T BH ) and exit time (ET) to provide a framework to investigate handover issues. Further simulation studies were used to investigate the relation between beaconing, velocity and the network dwell time. Our results show that there is a need to understand the cumulative effect of beaconing in addition to the probability of successful reception as well as how these probability distributions are affected by the velocity of the vehicle. This provides more insight into how to support life critical applications using proactive handover techniques.

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Exploiting Location and Contextual Information to Develop a Comprehensive Framework for Proactive Handover in Heterogeneous Environments

Cited by 20 publications

References 24 publications

Dynamic Edge-Caching for Mobile Users: Minimising Inter-AS traffic by Moving Cloud Services and VMs

Dynamic Edge-Caching for Mobile Users: Minimising Inter-AS traffic by Moving Cloud Services and VMs

Dynamic Traffic Management for Interactive Cloud Services: Localising Traffic Based on Network Throughput and User Mobility

Exploring efficient seamless handover in VANET systems using network dwell time

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