Execution models for mobile data analytics

Muhammad Habib Ur Rehman; Aisha  Batool; Chee Sun Liew; Teh Ying Wah; Atta Ur Rehman Khan

doi:10.1109/mitp.2017.53

Execution models for mobile data analytics

Muhammad Habib Ur Rehman
, Aisha Batool
, Chee Sun Liew
, Teh Ying Wah
, Atta Ur Rehman Khan

Comsats Institute Of Information Technology
COMSATS University Islamabad
University of Malaya
King Saud University

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

Execution models enable mobile data analytics applications to run on multiple platforms, but these applications need to handle massive heterogeneity. This article discusses various options for designing execution models and presents related challenges.

Original language	English
Pages (from-to)	24 - 30
Journal	IT Professional
Volume	19
Issue number	3
DOIs	https://doi.org/10.1109/mitp.2017.53
Publication status	Published - 9 Jun 2017

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https://ieeexplore.ieee.org/document/7945187

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title = "Execution models for mobile data analytics",

abstract = "Execution models enable mobile data analytics applications to run on multiple platforms, but these applications need to handle massive heterogeneity. This article discusses various options for designing execution models and presents related challenges. ",

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AU - Liew, Chee Sun

AU - Wah, Teh Ying

AU - Ur Rehman Khan, Atta

PY - 2017/6/9

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N2 - Execution models enable mobile data analytics applications to run on multiple platforms, but these applications need to handle massive heterogeneity. This article discusses various options for designing execution models and presents related challenges.

AB - Execution models enable mobile data analytics applications to run on multiple platforms, but these applications need to handle massive heterogeneity. This article discusses various options for designing execution models and presents related challenges.

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JO - IT Professional

JF - IT Professional

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Execution models for mobile data analytics

Abstract

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