Mobile dynamic content distribution networks

Aioffi, Wagner Moro; Mateus, Geraldo Robson; Almeida, Jussara M.; Mendes, Daniel S.

doi:10.1145/1023663.1023682

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…Previous studies of mobile app usage have focused on either origin traffic ( [3]) or CDN+cloud traffic ( [7]). We present a different approach by studying usage behavior of mobile apps based on advertising traffic.…”

Section: Introductionmentioning

confidence: 99%

Understanding Mobile App Usage Patterns Using In-App Advertisements

Tongaonkar¹,

Dai

Nucci³

et al. 2013

Passive and Active Measurement

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Abstract. Recent years have seen an explosive growth in the number of mobile devices such as smart phones and tablets. This has resulted in a growing need of the operators to understand the usage patterns of the mobile apps used on these devices. Previous studies in this area have relied on volunteers using instrumented devices or using fields in the HTTP traffic such as User-Agent to identify the apps in network traces. However, the results of the former approach are difficult to be extrapolated to real-world scenario while the latter approach is not applicable to platforms like Android where developers generally use generic strings, that can not be used to identify the apps, in the User-Agent field. In this paper, we present a novel way of identifying Android apps in network traces using mobile in-app advertisements. Our preliminary experiments with real world traces show that this technique is promising for large scale mobile app usage pattern studies. We also present an analysis of the official Android market place from an advertising perspective.

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Section: Introductionmentioning

confidence: 99%

Understanding Mobile App Usage Patterns Using In-App Advertisements

Tongaonkar¹,

Dai

Nucci³

et al. 2013

Passive and Active Measurement

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“…Indeed, the models discussed herein were designed for prevalent methods of network access: end-users connect to Wifi hotspots that are, in turn, supported by a wired backbone (as seen in Figure 1). This network architecture and the use of base-stations as more than simple access points are similar to the work done in [10]. More recent surveys have hinted at the importance of mobile-based CDNs [8], with focus usually on creating overlays of surrogate-servers and base-stations [16].…”

Section: Background and Scopementioning

confidence: 69%

“…The work in [10] investigates the effects of user mobility and dynamic access patterns, with off-line methods used to determine optimal replica numbers. The network topology is similar (although on a larger scale), and their use of intelligent access-points is in line with our own.…”

Section: Cdn On Mobile/wireless Networkmentioning

confidence: 99%

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Enhancing Availability in Content Delivery Networks for Mobile Platforms

Almashor

Khalil

Tari

et al. 2015

IEEE Trans. Parallel Distrib. Syst.

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Ensuring high data availability is a vital prerogative for Content Delivery Networks (CDN), and as we look to deploy CDN mechanisms onto mobile platforms, this imperative becomes ever more challenging. In traditional CDNs, replication ensures high availability of data, with server-loads and content-popularity often used as parameters to tightly control the process. However, the highly transient properties of such wireless and mobile devices constitute a major hurdle for any replication algorithm, rendering most simplified methods inadequate. Our contribution begins with a unique message-pulsing mechanism operating within a wireless cluster, that detects devices and ascertains their reliability. Results show the viability of our pulsing algorithm in determining a base replication level. Next, a Markovian queueing model is introduced, allowing us to induce replication based on the required speed of service. This affords finer control over the replication process, creating a more effective replication strategy suited for mobile-based CDNs. Extensive analysis of the model were performed, with parameters derived from real-world conditions. Results indicate that the model is able to compute logical values for the expected waiting times in service and thus, control the speed of replication within the CDN.

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“…Actually [4][5] and [6] need advanced knowledge of network topology which limits de facto their dynamicity and their reactivity to network changing.…”

Section: State Of the Artmentioning

confidence: 99%

FReDi: Flexible Replicas Displacer

Gossa

Pierson

Brunie

International Conference on Networking, International Conference on Systems and International Conference on Mobile Communicatio

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We present in this article a flexible management system for dynamic placement of content replicas. It is able to satisfy users' constraints and preferences, while limiting the load of servers and proxy-caches. Our goal is to optimize the placement in order to lower the number of replicas while keeping the best end-user QoS. Our proposal is based on local decision mechanisms of duplication and migration in a P2P way. Our system allows owners to keep the control over their contents even in the context of large scale replica dissemination. Experiments with real web traces validate the approach.

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Mobile dynamic content distribution networks

Cited by 5 publications

References 18 publications

Understanding Mobile App Usage Patterns Using In-App Advertisements

Understanding Mobile App Usage Patterns Using In-App Advertisements

Enhancing Availability in Content Delivery Networks for Mobile Platforms

FReDi: Flexible Replicas Displacer

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