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Dynamic Duty Scheduling for Green Sensor-Cloud Applications

https://doi.org/10.1109/cloudcom.2014.169

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

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BodyCloud: A SaaS approach for community Body Sensor Networks

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Optimal gateway selection in sensor–cloud framework for health monitoring

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Cloud Computing for Enhanced Mobile Health Applications

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Managing Wearable Sensor Data through Cloud Computing

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BodyCloud: Integration of Cloud Computing and body sensor networks

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Mapping of sensor nodes with servers in a mobile Health-Cloud environment

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A Novel Sensory Data Processing Framework to Integrate Sensor Networks With Mobile Cloud

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inferredcites →https://doi.org/10.1109/nbis.2010.32openalex-snapshot

Sensor-Cloud Infrastructure - Physical Sensor Management with Virtualized Sensors on Cloud Computing

inferredcites →https://doi.org/10.1109/tcc.2013.19openalex-snapshot

QoS-Guaranteed Bandwidth Shifting and Redistribution in Mobile Cloud Environment

inferredcites →https://doi.org/10.1109/tmm.2013.2240270openalex-snapshot

A Network and Device Aware QoS Approach for Cloud-Based Mobile Streaming

inferredcites →https://doi.org/10.1109/tnsm.2014.011614.130429openalex-snapshot

Learning Automata-Based QoS Framework for Cloud IaaS

inferredcites →https://doi.org/10.1155/2013/917923openalex-snapshot

A Survey on Sensor-Cloud: Architecture, Applications, and Approaches

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Internet of Things for Agricultural Applications: The State of the Art

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