Bayesian Compressed Vector Autoregression for Financial Time-Series Analysis and Forecasting

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Author listTaveeapiradeecharoen P., Chamnongthai K., Aunsri N.

PublisherElsevier

Publication year2019

JournalFuture Generation Computer Systems: The International Journal of eScience (0167-739X)

Volume number7

Start page16777

End page16786

Number of pages10

ISSN0167-739X

eISSN1872-7115

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85058647553&doi=10.1016%2fj.future.2018.11.057&partnerID=40&md5=1d8729d65be772732ef8f47f29d2b3f8

LanguagesEnglish-Great Britain (EN-GB)


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Abstract

In this paper, we propose ALICE Connex, a prototype of a volunteer mobile computing platform for the ALICE experiment. The platform adopts the “volunteer computing” concept on mobile devices. Untapped computing power of smartphones can be aggregated and exploited to help in the calibration of the ALICE's Time-of-Flight (TOF) particle detector. ALICE Connex is built based on the Berkeley Open Infrastructure for Network Computing or BOINC, which is a well-known volunteer computing middleware. In addition, ALICE Connex will offer an outreach service to connect the ALICE experiment to the general public by a way of edutainment and volunteer computing allowing them to be a part of the big experiments at CERN. © 2018


Keywords

Distributed systemMobilesourcingVolunteer Computing


Last updated on 2023-17-10 at 07:35