Online user-driven task scheduling for femtoclouds

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Abstract

In Fog Computing, FemtoClouds are emerging computing systems consisting of a set of heterogeneous mobile devices whose users allow to run tasks offloaded by other users. FemtoClouds are well suited to run Bag-of-Tasks (BoTs) applications, but they need effective scheduling algorithms that are able to deal with collections of independently-owned, heterogeneous devices that can suddenly leave the system. In this paper, we present UDFS, an online scheduling algorithm that, by combining knowledge-free task and device selection policies with suitable heterogeneity and volatility tolerance mechanisms, can effectively schedule a stream of BoT applications on FemtoClouds. We evaluate the ability of UDFS to achieve its design goals and to perform better than existing scheduling alternatives, by carrying out a thorough simulation study for a large set of realistic scenarios. Our results indeed show that UDFS can effectively schedule a stream of BoT applications on FemtoClouds, and it can do so more effectively than existing scheduling alternatives.

Lingua originaleInglese
Titolo della pubblicazione ospite2019 4th International Conference on Fog and Mobile Edge Computing, FMEC 2019
EditoreInstitute of Electrical and Electronics Engineers Inc.
Pagine5-12
Numero di pagine8
ISBN (elettronico)9781728117966
DOI
Stato di pubblicazionePubblicato - giu 2019
Evento4th International Conference on Fog and Mobile Edge Computing, FMEC 2019 - Rome, Italy
Durata: 10 giu 201913 giu 2019

Serie di pubblicazioni

Nome2019 4th International Conference on Fog and Mobile Edge Computing, FMEC 2019

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???event.eventtypes.event.conference???4th International Conference on Fog and Mobile Edge Computing, FMEC 2019
Paese/TerritorioItaly
CittàRome
Periodo10/06/1913/06/19

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