DocumentCode :
125221
Title :
The ARES Project: Network Architecture for Delivering and Processing Genomics Data
Author :
Femminella, Mauro ; Reali, Gianluca ; Valocchi, Dario ; Nunzi, Emilia
Author_Institution :
Dipt. di Ing., Univ. of Perugia, Perugia, Italy
fYear :
2014
fDate :
5-7 Feb. 2014
Firstpage :
23
Lastpage :
30
Abstract :
This paper shows the network solutions proposed and implemented in the framework of the project ARES. The strategic objective of ARES is to create an advanced CDN, accessible through a cloud interface, supporting medical and research systems making a large use of genomic data. The expected achievements consist of identifying suitable management policies of genomic contents in a cloud environment, in terms of efficiency, resiliency, scalability, and QoS in a distributed fashion using a multi-user CDN approach. The experimental architecture envisages the use of the following key elements: a wideband networking infrastructure, a resource virtualization software platform, a distributed service architecture, including suitable computing and storage infrastructure, a distributed software platform able to ingest, validate, and analyze high volumes of data, a software engine executing a sophisticated intelligence for workload distribution and CDN provisioning.
Keywords :
Big Data; bioinformatics; cloud computing; data analysis; genomics; quality of service; resource allocation; virtualisation; ARES Project; CDN provisioning; QoS; advanced CDN; cloud environment; cloud interface; computing infrastructure; data analysis; distributed service architecture; distributed software platform; genomic contents; genomics data delivery; genomics data processing; management policies; medical systems; multiuser CDN approach; network architecture; research systems; resiliency; resource virtualization software platform; scalability; software engine; storage infrastructure; wideband networking infrastructure; workload distribution; Bioinformatics; Computer architecture; Containers; Genomics; Peer-to-peer computing; Servers; Software; Big Data; Cloud Services; Dynamic Caching; NSIS Signaling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Cloud Computing and Applications (NCCA), 2014 IEEE 3rd Symposium on
Conference_Location :
Rome
Print_ISBN :
978-0-7695-5168-5
Type :
conf
DOI :
10.1109/NCCA.2014.12
Filename :
6786758
Link To Document :
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