2019
DOI: 10.1016/j.future.2019.01.052
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A tale of three systems: Case studies on the application of architectural tactics for cyber-foraging

Abstract: h i g h l i g h t s • Cyber-foraging is a technique to extend computing power of mobile devices. • Two case studies to discover tactics for cyber-foraging in existing systems. • Third case study uses the tactics in the development of a new system. • Results are an initial demonstration of the validity of the tactics. • Potential for taking a tactics-driven for development of cyber-foraging systems.

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Cited by 3 publications
(2 citation statements)
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“…Robotic and sensor devices leverage IoT techniques and remote big data management tools across data fusion and context-aware systems [5][6][7][8] in collaborative industrial environments. Wireless network and multisensor fusion technologies assist in remote intelligent identification of objects and operations through image recognition and detection tools.…”
Section: Remote Big Data Management Tools In the Internet Of Robotic ...mentioning
confidence: 99%
See 1 more Smart Citation
“…Robotic and sensor devices leverage IoT techniques and remote big data management tools across data fusion and context-aware systems [5][6][7][8] in collaborative industrial environments. Wireless network and multisensor fusion technologies assist in remote intelligent identification of objects and operations through image recognition and detection tools.…”
Section: Remote Big Data Management Tools In the Internet Of Robotic ...mentioning
confidence: 99%
“…Internet of Robotic Things (IoRT) systems carry out assigned tasks through multipurpose environment monitoring systems, deep learning algorithms, and trajectory tracking tools [1][2][3][4] in relation to mobile control, coordinated operation, movement process, and performance evaluation. Cognitive artificial intelligence, wireless sensor and actuator networks, and remote big data management tools [5][6][7][8] and recognition across remote and synthetic simulation environments. Autonomous cognitive systems enable process monitoring and diagnosis of production line management in intelligent connectivity infrastructures [9][10][11][12], considerably improving productivity.…”
Section: Introductionmentioning
confidence: 99%