ALICE Connex: A volunteer computing platform for the Time-Of-Flight calibration of the ALICE experiment. An opportunistic use of CPU cycles on Android devices
| Autor: | Khajonpong Akkarajitsakul, Patcharaporn Jenviriyakul, Filippo Costa, Gantaphon Chalumporn, Tiranee Achalakul |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Large Hadron Collider
Computer Networks and Communications Computer science Mobile computing 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology computer.software_genre Hardware and Architecture Volunteer computing Middleware ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering Operating system 020201 artificial intelligence & image processing Android (operating system) Instruction cycle computer Mobile device Software |
| Zdroj: | Future Generation Computer Systems. 94:510-523 |
| ISSN: | 0167-739X |
| DOI: | 10.1016/j.future.2018.11.057 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect