Editorial: Collaborative Computing for Data-Driven Systems

Muddesar Iqbal

doi:10.1007/s11036-019-01452-y

Editorial: Collaborative Computing for Data-Driven Systems

Muddesar Iqbal

Computer Science

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

Abstract

Over the last few years, owing to the development, deployment, and use of Internet of Things (IoT) systems and smart devices, a large volume of data has been generated from various operation systems. High speed 4G networks and low cost of data usage foster the commercialization of a few heavy data driven social networks, such as Tik Tok and Instagram.

Original language	English
Journal	Mobile Networks and Applications
DOIs	https://doi.org/10.1007/s11036-019-01452-y
Publication status	Published - 26 Dec 2019

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title = "Editorial: Collaborative Computing for Data-Driven Systems",

abstract = "Over the last few years, owing to the development, deployment, and use of Internet of Things (IoT) systems and smart devices, a large volume of data has been generated from various operation systems. High speed 4G networks and low cost of data usage foster the commercialization of a few heavy data driven social networks, such as Tik Tok and Instagram.",

author = "Muddesar Iqbal",

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AB - Over the last few years, owing to the development, deployment, and use of Internet of Things (IoT) systems and smart devices, a large volume of data has been generated from various operation systems. High speed 4G networks and low cost of data usage foster the commercialization of a few heavy data driven social networks, such as Tik Tok and Instagram.

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JO - Mobile Networks and Applications

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Editorial: Collaborative Computing for Data-Driven Systems

Abstract

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