A layer-2 trigger to improve QoS in content and session-oriented mobile services

Casalicchio, Emiliano; Cardellini, Valeria; Tucci, Salvatore

doi:10.1145/1089444.1089462

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…Previously published work [5]- [7] shows the benefits of using event information, for example, to proactively perform a handover in order to maintain QoS levels. Our goal is to define a framework that supports the event collection and processing, and trigger distribution possibly from hundreds of different sources.…”

Section: Related Work and Discussionmentioning

confidence: 99%

“…After surveying the literature (see, for example, [1], [3]- [7]) and based on our own expertise, we identified more than one hundred different types of network events related to mobility management. We cluster triggers, regardless of the underlying communication technology, based on groups of events related to changes in network topology and routing, available access media, radio link conditions, user actions and preferences, context information, operator policies, quality of service (QoS) parameters, network composition [8], and security alerts.…”

Section: Trigger Management Conceptsmentioning

confidence: 99%

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Trigger Management Mechanisms

Mäkelä

Pentikousis

2007

2007 2nd International Symposium on Wireless Pervasive Computing

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Abstract-Current protocol stacks can handle only a handful of events that may trigger actions for mobility management, such as signal strength indicators and cell load. We argue for new mechanisms that can deal with a greater variety of triggering events, which may originate from any component of the node's protocol stack as well as mobility management entities within the network. We present the main concepts that govern our trigger management mechanisms (TMM), which aim at operating in a richer mobility management framework, and enable the deployment of new applications and services. After summarizing the architectural requirements with respect to trigger collection, processing, storage, and dissemination, we introduce a real implementation of TMM on commodity mobile devices. We briefly review our testbed environment and present experimental results using TMM to drive a lossless streaming video session handover between a laptop and a PDA. We position the current TMM design and implementation within the Ambient Networks architecture, centering in particular on the use of policies to steer TMM operation, and the role that TMM can play in an information service infrastructure. Finally, we outline current and future work items.

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Section: Related Work and Discussionmentioning

confidence: 99%

Section: Trigger Management Conceptsmentioning

confidence: 99%

Trigger Management Mechanisms

Mäkelä

Pentikousis

2007

2007 2nd International Symposium on Wireless Pervasive Computing

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show abstract

“…After surveying the relevant literature (see, for example, [5,[6][7][8][9][10]), and based on our own expertise, we identified more than one hundred different types of network events related to mobility management. We cluster triggers, regardless of the underlying communication technology, based on groups of events related to changes in network topology and routing, available access media, radio link conditions, user actions and preferences, context information, operator policies, quality of service (QoS) parameters, network composition [11], and security alerts.…”

Section: A Framework For Managing Mobility Triggersmentioning

confidence: 99%

Mobility Trigger Management: Implementation and Evaluation

Mäkelä¹,

Pentikousis²,

Kyllönen³

2009

IJCNS

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Modern mobile devices have several network interfaces and can run various network applications. In order to remain always best connected, events need to be communicated through the entire protocol stack in an efficient manner. Current implementations can handle only a handful of low level events that may trigger actions for mobility management, such as signal strength indicators and cell load. In this paper, we present a framework for managing mobility triggers that can deal with a greater variety of triggering events, which may originate from any component of the node’s protocol stack as well as mobility management entities within the network. We explain the main concepts that govern our trigger management framework and discuss its architecture which aims at operating in a richer mobility management framework, enabling the deployment of new applications and services. We address several implementation issues, such as, event collection and processing, storage, and trigger dissemination, and introduce a real implementation for commodity mobile devices. We review our testbed environment and provide experimental results showcasing a lossless streaming video session handover between a laptop and a PDA using mobility and sensor-driven orientation triggers. Moreover, we empirically evaluate and analyze the performance of our prototype. We position our work and implementation within the Ambient Networks architecture and common prototype, centring in particular on the use of policies to steer operation. Finally, we outline current and future work items

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