H2020Индивидуална стипендия2015–2017

DISC · Distributed storage based on sparse-graph codes

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2015-05-01 → 2017-07-20
Финансиране от ЕС: 185 857 €
Участници: 1
Схема: MSCA-IF-EF-ST

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Накратко на български

Разпределеното съхранение на данни чрез специални кодове изследва как популярно съдържание да се пази в малки базови станции или мобилни устройства. Това помага за намаляване на забавянето при трансфера и подобрява надеждността на мрежата, когато някои устройства изключат.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Distributed storage based on sparse-graph codes

The proliferation of mobile devices and the surge of a myriad of multimedia applications has resulted in an exponential growth of the mobile data traffic. It is nowadays accepted that current cellular systems cannot face the unabated growing of today’s digital data volume. Next-generation wireless network desperately need new technologies to improve their robustness to failures, storage efficiency, complexity, and cost efficiency, in order to sustain the information revolution of modern societies. In this context, wireless caching has emerged as a powerful technique to overcome the backhaul bottleneck, by reducing the backhaul rate and the delay in retrieving content from the network. The key idea is to store popular content closer to the end users. Recently, a novel system architecture named femtocaching was proposed. It consists of deploying a number of small base stations (BSs) with large storage capacity, in which content is stored during periods of offpeak traffic. The mobile users can download content from the small BSs, resulting in a higher throughput per user. It was also proposed to store content directly in the mobile devices. Users can then retrieve content from neighbouring devices using device-to-device (D2D) communication or, alternatively, from the serving BS. The data loss in these systems happens if one or multiple storage nodes fail or leave the network, or if the fading channel characteristics make them unavailable. In both scenarios, content may be stored using an erasure correcting code, which brings gains with respect to uncoded caching. The use of erasure correcting codes establishes an interesting link between distributed caching for content delivery and distributed storage (DS) for reliable data storage. The key difference is that in the wireless network scenario, data can be downloaded from the storage nodes (the small BSs or the mobile devices) but also from a serving macro BS, which has always the content available. Therefore, the reliability requirements in DS for reliable data storage can be relaxed. The main objective of this project consists in evaluate the advantages of coded distributed caching with respect to the classical scenario where content is always downloaded from the BS.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The recent years have witnessed the explosion of services and applications such as email, cloud computing, socialand media networks, and video sharing. The grand challenge is to store, process and transfer this massive amountof data. According to recent estimates, the data to be stored grows at a rate of 45% per year, a factor of 40 by2024. Data centers typically employ a collection of cheap devices/nodes, which are connected forming a so-calleddistributed storage (DS) system, where a central server keeps track of where each file is stored and performs allnetwork operations. Every day, knowingly or unknowingly people connect to various private and public DS systems.It is nowadays accepted that current DS systems cannot face the unabated growing of digital data volume. Nextgenerationstorage systems desperately need new technologies to improve their robustness to node failures, storageefficiency, complexity, and cost efficiency, in order to sustain the information revolution of modern societies.This project addresses the challenges above using modern coding theory and optimization theory. Our focus ison the application of sparse-graph erasure correcting codes to large DS networks. The proposed project falls into thecategory of fundamental research, but it is driven by practical concerns, and we expect our findings to give new andrelevant insights for the design of practical coding schemes for next-generation DS systems.

Оригинален текст от CORDIS (на английски).

Участници

CHALMERS TEKNISKA HOGSKOLA AB · GoteborgКоординаторШвеция