Trust Enforced Computational Offloading for Health Care Applications in Fog Computing

Internet of Things (IoT) is a network of internet connected devices that generates huge amount of data every day. The usage of IoT devices such as smart wearables, smart phones, smart cities are increasing in the linear scale. Health care is one of the primary applications today that uses IoT device...

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Veröffentlicht in:	Wireless personal communications Jg. 119; H. 2; S. 1369 - 1386
Hauptverfasser:	Meena, V., Gorripatti, Meghana, Suriya Praba, T.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 2021 Springer Nature B.V
Schlagworte:	Algorithms Cloud computing Communications Engineering Computation offloading Computer Communication Networks Electronic devices Engineering Health care Internet of Things Network latency Networks Polytetrafluoroethylene Remote monitoring Response time Signal,Image and Speech Processing Smartphones Trust Trustworthiness Fog computing Health care Response time Trusted node identification Computational offloading
ISSN:	0929-6212, 1572-834X
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Abstract	Internet of Things (IoT) is a network of internet connected devices that generates huge amount of data every day. The usage of IoT devices such as smart wearables, smart phones, smart cities are increasing in the linear scale. Health care is one of the primary applications today that uses IoT devices. Data generated in this application may need computation, storage and data analytics operations which requires resourceful environment for remote patient health monitoring. The data related with health care applications are primarily private and should be readily available to the users. Enforcing these two constraints in cloud environment is a hard task. Fog computing is an emergent architecture for providing computation, storage, control and network services within user’s proximity. To handle private data, the processing elements should be trustable entities in Fog environment. In this paper we propose novel Trust Enforced computation ofFLoading technique for trust worthy applications using fOg computiNg (TEFLON). The proposed system comprises of two algorithms namely optimal service offloader and trust assessment for addressing security and trust issues with reduced response time. And the simulation results show that proposed TEFLON framework improves success rate of fog collaboration with reduced average latency for delay sensitive applications and ensures trust for trustworthy applications.
AbstractList	Internet of Things (IoT) is a network of internet connected devices that generates huge amount of data every day. The usage of IoT devices such as smart wearables, smart phones, smart cities are increasing in the linear scale. Health care is one of the primary applications today that uses IoT devices. Data generated in this application may need computation, storage and data analytics operations which requires resourceful environment for remote patient health monitoring. The data related with health care applications are primarily private and should be readily available to the users. Enforcing these two constraints in cloud environment is a hard task. Fog computing is an emergent architecture for providing computation, storage, control and network services within user’s proximity. To handle private data, the processing elements should be trustable entities in Fog environment. In this paper we propose novel Trust Enforced computation ofFLoading technique for trust worthy applications using fOg computiNg (TEFLON). The proposed system comprises of two algorithms namely optimal service offloader and trust assessment for addressing security and trust issues with reduced response time. And the simulation results show that proposed TEFLON framework improves success rate of fog collaboration with reduced average latency for delay sensitive applications and ensures trust for trustworthy applications. Internet of Things (IoT) is a network of internet connected devices that generates huge amount of data every day. The usage of IoT devices such as smart wearables, smart phones, smart cities are increasing in the linear scale. Health care is one of the primary applications today that uses IoT devices. Data generated in this application may need computation, storage and data analytics operations which requires resourceful environment for remote patient health monitoring. The data related with health care applications are primarily private and should be readily available to the users. Enforcing these two constraints in cloud environment is a hard task. Fog computing is an emergent architecture for providing computation, storage, control and network services within user's proximity. To handle private data, the processing elements should be trustable entities in Fog environment. In this paper we propose novel Trust Enforced computation ofFLoading technique for trust worthy applications using fOg computiNg (TEFLON). The proposed system comprises of two algorithms namely optimal service offloader and trust assessment for addressing security and trust issues with reduced response time. And the simulation results show that proposed TEFLON framework improves success rate of fog collaboration with reduced average latency for delay sensitive applications and ensures trust for trustworthy applications.Internet of Things (IoT) is a network of internet connected devices that generates huge amount of data every day. The usage of IoT devices such as smart wearables, smart phones, smart cities are increasing in the linear scale. Health care is one of the primary applications today that uses IoT devices. Data generated in this application may need computation, storage and data analytics operations which requires resourceful environment for remote patient health monitoring. The data related with health care applications are primarily private and should be readily available to the users. Enforcing these two constraints in cloud environment is a hard task. Fog computing is an emergent architecture for providing computation, storage, control and network services within user's proximity. To handle private data, the processing elements should be trustable entities in Fog environment. In this paper we propose novel Trust Enforced computation ofFLoading technique for trust worthy applications using fOg computiNg (TEFLON). The proposed system comprises of two algorithms namely optimal service offloader and trust assessment for addressing security and trust issues with reduced response time. And the simulation results show that proposed TEFLON framework improves success rate of fog collaboration with reduced average latency for delay sensitive applications and ensures trust for trustworthy applications.
Author	Suriya Praba, T. Gorripatti, Meghana Meena, V.
Author_xml	– sequence: 1 givenname: V. surname: Meena fullname: Meena, V. organization: School of Computing, SASTRA Deemed University – sequence: 2 givenname: Meghana surname: Gorripatti fullname: Gorripatti, Meghana organization: School of Computing, SASTRA Deemed University – sequence: 3 givenname: T. orcidid: 0000-0003-3398-8302 surname: Suriya Praba fullname: Suriya Praba, T. email: suriyapraba@cse.sastra.edu organization: School of Computing, SASTRA Deemed University
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Cites_doi	10.1007/978-3-540-74810-6_8 10.1109/TCOMM.2017.2699660 10.1007/978-3-319-68136-8_7 10.1145/3132211.3134451 10.1109/JIOT.2016.2565516 10.1109/ACCESS.2017.2733225 10.1016/j.future.2018.04.057 10.1016/j.future.2019.07.030 10.1016/j.jpdc.2019.10.006 10.1016/j.future.2018.05.049 10.1109/TNSE.2018.2852762 10.1016/j.jpdc.2018.10.007 10.1109/MCOM.2017.1700360 10.1016/j.future.2018.05.008 10.1007/978-3-030-00021-9_18 10.1109/TPDS.2013.116
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Keywords	Fog computing Health care Response time Trusted node identification Computational offloading
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SubjectTerms	Algorithms Cloud computing Communications Engineering Computation offloading Computer Communication Networks Electronic devices Engineering Health care Internet of Things Network latency Networks Polytetrafluoroethylene Remote monitoring Response time Signal,Image and Speech Processing Smartphones Trust Trustworthiness
Title	Trust Enforced Computational Offloading for Health Care Applications in Fog Computing
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