An Open Privacy-Preserving and Scalable Protocol for a Network-Neutrality Compliant Caching

Andreoletti, Davide; Rottondi, Cristina; Giordano, Silvia; Verticale, Giacomo; Tornatore, Massimo

doi:10.1109/icc.2019.8761596

Cited by 9 publications

(10 citation statements)

References 11 publications

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“…An example of this type of subdivision, that we refer to as popularity-driven, is the following: given a cache server that can store an average number of 1000 contents, a CP that owns 500 out the 1000 most requested contents from the users of the ISP is assigned 50% of the available cache storage. Consistently with our previous works [4], [5], we consider the popularity-driven subdivision to be both NNcompliant and effective. In fact, it is NN-compliant since it guarantees the CPs a neutral treatment (because the storage is assigned only based on their attractiveness and not on arbitrary forms of agreement with the ISP), but also effective for the ISP, that experiences the highest reduction of its network resource occupation when the most popular contents are served directly from its area.…”

Section: Introductionsupporting

confidence: 53%

“…In this work, we focus on the technical implementation of a protocol that enables the enforcement of NN-compliant caching. Specifically, we extend our work in [5], in which we designed a protocol that guarantees (i) NN compliance, (ii) scalability (e.g., with respect to the number of CPs) and (iii) privacy (CPs and ISP are not required to exchange sensitive information with each other). The main limitations of the protocol in [5] are that the available cache storage is not fully utilized and all the contents are required to be of the same size.…”

Section: A Related Work 1) Network-neutral Cachingmentioning

confidence: 99%

“…Therefore, by establishing a subdivision of the available cache storage capacity among the CPs, the ISP can significantly affect the users' QoE. Hence, caching can be regarded as a form of discriminatory traffic prioritization and it has recently emerged in the debate on Network Neutrality (NN) [3]- [5]. In brief, NN is the legislative principle according to which ISPs are allowed to prioritize a class of traffic only based on its performance requirements.…”

Section: Introductionmentioning

confidence: 99%

“…As far as caching is concerned, however, all the traffic is generated by the same class of contents (e.g., video) and, to the best of our knowledge, there is no current agreement on the definition of NN-compliant caching. A possible view of NN-compliant caching [3], [5] requires the ISP to reserve CPs portions of storage proportional to their contents' popularity. A high-level representation of this concept is depicted in Fig.…”

Section: Introductionmentioning

confidence: 99%

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A Privacy-Preserving Protocol for Network-Neutral Caching in ISP Networks

et al. 2019

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By performing in-network caching, Internet Service Providers (ISPs) allow Content Providers (CPs) to serve contents from locations closer to users. In this way, the pressure of content delivery on ISPs' network is alleviated, and the users' Quality-of-Experience (QoE) improved. Due to its impact on QoE, caching has been recently considered as a form of traffic prioritization in the debate on Network Neutrality (NN). A possible approach to perform NN-compliant caching consists in assigning the same portion of cache storage to all the CPs. However, this static subdivision does not consider the different popularities of the CPs' contents and is therefore inefficient. Alternatively, the cache can be subdivided among the CPs proportionally to the popularity of their contents. However, CPs consider this information private and are reluctant to disclose it. In this work, we propose a protocol to perform a popularity-driven subdivision of the caches' storage in a privacy-preserving and network-neutral fashion. The protocol is based on the Shamir Secret Sharing (SSS) scheme and is designed to ensure a NN-compliant subdivision of the caches while preserving the privacy of both CPs and ISP (i.e., contents' popularity and caches' size are not disclosed). Through dynamic simulation, we show that the popularity-driven cache subdivision (enforced by using our protocol) outperforms several baseline approaches in terms of overall network Resource Occupation (RO) and caching Hit-Ratios. Thanks to our numerical results, we observe that the frequency of execution of the protocol has a significant impact on the RO, and that the ISP can tune this frequency to minimize its RO while introducing an acceptable data overhead. Because of this tuning, several CPs may experience a loss with respect to the hit-ratio that they would obtain by independently choosing the frequency of execution. This loss is very limited, and the employment of the protocol is therefore beneficial to all the involved parties, especially since, by using it, CPs are guaranteed that the ISP behaves in a network-neutral manner.

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Section: Introductionsupporting

confidence: 53%

Section: A Related Work 1) Network-neutral Cachingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Privacy-Preserving Protocol for Network-Neutral Caching in ISP Networks

et al. 2019

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“…In this work, we aim to find the optimal cache deployment that minimizes network resource-occupation; i.e., the amount of capacity occupied in the network to perform VoD content delivery, for a given investment in terms of storage capacity (i.e., under limited storage capacity available). Here, we note that recent debates about network-neutral-caching [6] have also addressed a similar problem: regulations of network neutrality force content providers to utilize a specific amount of storage capacity to perform caching [7,8]. In that case, however, network operators aim to minimize network resource occupation, subject to constraints given by network neutrality regulations, instead of by a limited monetary investment.…”

Section: Introductionmentioning

confidence: 99%

Optimal Cache Deployment for Video-On-Demand in Optical Metro Edge Nodes under Limited Storage Capacity

et al. 2020

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Network operators must continuously explore new network architectures to satisfy increasing traffic demand due to bandwidth-hungry services, such as video-on-demand (VoD). A promising solution which enables offloading traffic consists of terminating VoD requests locally through deploying caches at the network edge. However, deciding the number of caches to deploy, their locations in the network and their dimensions in terms of storage capacity is not trivial and must be jointly optimized, to reduce costs and utilize network resources efficiently. In this paper, we aim to find the optimal deployment of caches in a hierarchical metro network, which minimizes the overall network resource occupation for VoD services, in terms of number of caches deployed across the various network levels, their locations and their dimensions (i.e., storage capacity), under limited storage capacity. We first propose an analytical model which serves as a tool to find the optimal deployment as a function of various parameters, such as popularity distribution and location of metro cache. Then, we present a discrete-event simulator for dynamic VoD provisioning to verify the correctness of the analytical model and to measure the performance of different cache deployment strategies in terms of overall network resource occupation. We prove that, to minimize resource occupation given a fixed budget in terms of storage capacity, storage capacity must be distributed among caches at different layers of the metro network. Moreover, we provide guidelines for the optimal cache deployment strategy when the available storage capacity is limited. We further show how the optimal deployment of caches across the various metro network levels varies depending on the popularity distribution, the metro network topology and the amount of storage capacity available (i.e., the budget invested in terms of storage capacity).

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Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions

Andreoletti

Ayoub

Giordano

et al. 2020

2020 IEEE Globecom Workshops (GC WKSHPS

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The outbreak of coronavirus disease 2019 (Covid-19) is imposing a severe worldwide lock-down. Contact tracing based on smartphones' applications (apps) has emerged as a possible solution to trace contagions and enforce a more sustainable selective quarantine. However, a massive adoption of these apps is required to reach the critical mass needed for effective contact tracing. As an alternative, geo-location technologies in next generation networks (e.g., 5G) can enable Mobile Operators (MOs) to perform passive tracing of users' mobility and contacts with a promised accuracy of down to one meter. To effectively detect contagions, the identities of positive individuals, which are known only by a Governmental Authority (GA), are also required. Note that, besides being extremely sensitive, these data might also be critical from a business perspective. Hence, MOs and the GA need to exchange and process users' geo-locations and infection status data in a privacy-preserving manner. In this work, we propose a privacy-preserving protocol that enables multiple MOs and the GA to share and process users' data to make only the final users discover the number of their contacts with positive individuals. The protocol is based on existing privacy-enhancing strategies that guarantee that users' mobility and infection status are only known to their MOs and to the GA, respectively. From extensive simulations, we observe that the cost to guarantee total privacy (evaluated in terms of data overhead introduced by the protocol) is acceptable, and can also be significantly reduced if we accept a negligible compromise in users' privacy.

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An Open Privacy-Preserving and Scalable Protocol for a Network-Neutrality Compliant Caching

Cited by 9 publications

References 11 publications

A Privacy-Preserving Protocol for Network-Neutral Caching in ISP Networks

A Privacy-Preserving Protocol for Network-Neutral Caching in ISP Networks

Optimal Cache Deployment for Video-On-Demand in Optical Metro Edge Nodes under Limited Storage Capacity

Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions

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