Pregled bibliografske jedinice broj: 1083884
Software-Defined Storage Optimization of Distributed ALICE Resources
Software-Defined Storage Optimization of Distributed ALICE Resources // Proceedings of the 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020) / Rozic, Nikola ; Lorenz, Pascal (ur.).
Split: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 1-6 doi:10.23919/SoftCOM50211.2020.9238270 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1083884 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Software-Defined Storage Optimization of
Distributed ALICE Resources
Autori
Lončar, Petra ; Gotovac, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)
/ Rozic, Nikola ; Lorenz, Pascal - Split : Institute of Electrical and Electronics Engineers (IEEE), 2020, 1-6
ISBN
978-1-7281-7538-6
Skup
28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)
Mjesto i datum
Hvar, Hrvatska; online, 17.09.2020. - 19.09.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
software-defined storage ; ALICE ; distributed computing ; cloud computing ; edge computing ; big data
Sažetak
In today’s big data era, data and information are the main capital. High Energy Physics (HEP) as a data-intensive field of research drives significant demands for managing large datasets. Physics data need to be stored, accessed, and properly understood. This paper deals with the increasing resource requirements of the Large Hadron Collider (LHC) experiments at European Laboratory for Particle Physics (CERN). We analyze the unique requirements of the A Large Ion Collider Experiment (ALICE). This paper proposes a software-defined storage (SDS) model based on cloud and edge computing to optimize and organize the data storage of the current ALICE grid computing model. Also, it analyses how software-defined storage and distributed computing technologies could potentially be used to address the challenges and unique requirements faced by the ALICE experiment. The proposed model represents the basis for future research in which the parameters will be further examined, with an emphasis on the scalability of storage and computing resources.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split