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The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 4/2016

01.04.2016

Benchmark applications used in mobile cloud computing research: a systematic mapping study

verfasst von: Francisco Airton Silva, Germano Zaicaner, Eder Quesado, Matheus Dornelas, Bruno Silva, Paulo Maciel

Erschienen in: The Journal of Supercomputing | Ausgabe 4/2016

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Abstract

Mobile cloud computing (MCC) integrates mobile computing and cloud computing aiming to extend the capabilities of mobile devices through offloading techniques. In MCC, many controlled experiments have been performed using mobile applications as benchmarks. Usually, these applications are used to validate proposed algorithms, architectures or frameworks. The task of choosing a specific benchmark to evaluate MCC proposals is difficult because there is no standard applications list. This paper presents a systematic mapping study for benchmarks used in MCC research. Taking 5 months of work, we have read 763 papers from MCC field. We catalogued the applications and characterized them considering three facets: category (e.g., games, imaging tools); evaluated resource (e.g., time, energy); and platform (e.g., Android, iPhone). The mapping study evidences research gaps and research trends. Providing a list of downloadable standardized benchmarks, this work can aid better choices to guide more reliable research studies since the same application could be used for different scientific purposes.
Vorheriger Artikel An efficient broadcast-based information transfer method based on location data over MANET
Nächster Artikel Facing prefetching challenges in distributed shared memories for CMPs

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Metadaten
Titel
Benchmark applications used in mobile cloud computing research: a systematic mapping study
verfasst von
Francisco Airton Silva
Germano Zaicaner
Eder Quesado
Matheus Dornelas
Bruno Silva
Paulo Maciel
Publikationsdatum
01.04.2016
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 4/2016
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-016-1674-2

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