URI | http://purl.tuc.gr/dl/dias/5FE0E379-2A28-4E14-846C-52B1A0CEE41D | - |
Αναγνωριστικό | https://ieeexplore.ieee.org/document/7515707/ | - |
Αναγνωριστικό | https://doi.org/10.1109/CCGrid.2016.65 | - |
Γλώσσα | en | - |
Μέγεθος | 6 pages | en |
Τίτλος | MCluster: a software framework for portable device-based volunteer computing | en |
Δημιουργός | Theodoropoulos Dimitrios | en |
Δημιουργός | Θεοδωροπουλος Δημητριος | el |
Δημιουργός | Chrysos Grigorios | en |
Δημιουργός | Χρυσος Γρηγοριος | el |
Δημιουργός | Koidis Iosif | en |
Δημιουργός | Κοϊδης Ιωσηφ | el |
Δημιουργός | Charitopoulos Georgios | en |
Δημιουργός | Χαριτοπουλος Γεωργιος | el |
Δημιουργός | Pissadakis Emmanouil | en |
Δημιουργός | Πισσαδακης Εμμανουηλ | el |
Δημιουργός | Varikos Antonios | en |
Δημιουργός | Βαρικος Αντωνιος | el |
Δημιουργός | Pnevmatikatos Dionysios | en |
Δημιουργός | Πνευματικατος Διονυσιος | el |
Δημιουργός | Smaragdos Georgios | en |
Δημιουργός | Strydis, C. 1981- | en |
Δημιουργός | Zervos Nikolaos A. | en |
Εκδότης | Institute of Electrical and Electronics Engineers | en |
Περίληψη | Recent market forecasts predict that the portablecomputing trend will vastly spread, as by 2020 there will bemore than 3 billion LTE device users worldwide. Motivatedby this fact, many companies and research institutes havealready launched research projects that utilize portable devices, voluntarily provided by users, to perform the requiredcomputations. Many such projects employ Berkeley's BOINCmiddleware, since it can support a large variety of stationaryand mobile devices. However, currently available BOINChigh-level APIs, either do not support portable devices orlack advanced processing capabilities (such as inter-node taskdependencies) and/or easiness of use. To resolve these issues, we propose the mCluster software framework for applicationexecution powered by the BOINC middleware on portable devices. mCluster adopts a task-based programming model thatrequires simple, pragma-based annotations of the applicationsoftware, in order to dynamically resolve task dependencies. To evaluate our framework, we have have mapped a scientificapplication from the neuroscience domain on an small-scalednetwork of portable devices. mCluster significantly reducesthe required programming effort and complexity to efficientlymap BOINC-powered applications with task dependencies onportable devices compared to previous approaches. | en |
Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
Τύπος | Conference Full Paper | en |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2018-10-02 | - |
Ημερομηνία Δημοσίευσης | 2016 | - |
Θεματική Κατηγορία | Internet of Things | en |
Θεματική Κατηγορία | Task-based programming | en |
Θεματική Κατηγορία | Volunteer computing | en |
Βιβλιογραφική Αναφορά | D. Theodoropoulos, G. Chrysos, I. Koidis, G. Charitopoulos, E. Pissadakis, A. Varikos, D. Pnevmatikatos, G. Smaragdos, C. Strydis and N. Zervos, "MCluster: A software framework for portable device-based volunteer computing," in 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, 2016, pp. 336-341.
doi: 10.1109/CCGrid.2016.65 | en |