Smart City Gnosys

Smart city article details

Title	Open Source Semantic Web Infrastructure For Managing Iot Resources In The Cloud
ID_Doc	40171
Authors	Kefalakis N.; Petris S.; Georgoulis C.; Soldatos J.
Year	2016
Published	Internet of Things: Principles and Paradigms
DOI	http://dx.doi.org/10.1016/B978-0-12-805395-9.00002-2
Abstract	This chapter introduces scheduling of IoT services as an essential element of a cloud computing infrastructure for IoT services. We present an architecture for IoT/cloud convergence, which schedules requests for IoT services and maintains rich metadata about their lifecycle. Accordingly, we illustrate how this scheduling architecture can be used for implementing resource optimizations, including optimization of network bandwidth, storage, and cloud access costs. To this end, we present the implementation of two resource optimization schemes, one based on indirect sensor control and another on caching of IoT services. Finally, we briefly discuss the instantiation of the introduced IoT/cloud system in three distinct IoT applications: the areas of smart cities, manufacturing, and crop management. The presented IoT/Cloud infrastructure is available as open source project, which enables community implementations of additional applications and resource management schemes. © 2016 Elsevier Inc. All rights reserved.
Author Keywords	Cloud Computing; Internet of Things (IoT); Resource Management; Scheduling; Semantic Sensor Networks (SSN); Sensors; SPARQL

Similar Articles

Id	Similarity	Authors	Title	Published
46091	0.865	Farooq J.; Zhu Q.	Resource Management For On-Demand Mission-Critical Internet Of Things Applications	Resource Management for On-Demand Mission-Critical Internet of Things Applications (2021)
46092	0.862	Jeyaraj R.; Balasubramaniam A.; Kumara M.A.A.; Guizani N.; Paul A.	Resource Management In Cloud And Cloud-Influenced Technologies For Internet Of Things Applications	ACM Computing Surveys, 55, 12 (2023)
57918	0.86	Petrolo, R; Loscrì, V; Mitton, N	Towards A Smart City Based On Cloud Of Things, A Survey On The Smart City Vision And Paradigms	TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 28, 1 (2017)
46065	0.857	Jamil B.; Ijaz H.; Shojafar M.; Munir K.; Buyya R.	Resource Allocation And Task Scheduling In Fog Computing And Internet Of Everything Environments: A Taxonomy, Review, And Future Directions	ACM Computing Surveys, 54, 11s (2022)
40978	0.856	Ullah A.; Kiss T.; Kovács J.; Tusa F.; Deslauriers J.; Dagdeviren H.; Arjun R.; Hamzeh H.	Orchestration In The Cloud-To-Things Compute Continuum: Taxonomy, Survey And Future Directions	Journal of Cloud Computing, 12, 1 (2023)
14832	0.856	Mitton N.; Papavassiliou S.; Puliafito A.; Trivedi K.S.	Combining Cloud And Sensors In A Smart City Environment	Eurasip Journal on Wireless Communications and Networking, 2012, 1 (2012)
2203	0.854	Reddy K.H.K.; Srivastava G.; Goswami R.S.; Roy D.S.	A Hybrid Optimized Intelligent Resource-Constrained Service Scheduling For Unified Iot Applications In Smart Cities	IEEE Transactions on Network and Service Management, 21, 2 (2024)
56983	0.854	Zarko I.P.; Mueller S.; Plociennik M.; Rajtar T.; Jacoby M.; Pardi M.; Insolvibile G.; Glykantzis V.; Antonic A.; Kusek M.; Soursos S.	The Symbiote Solution For Semantic And Syntactic Interoperability Of Cloud-Based Iot Platforms	Global IoT Summit, GIoTS 2019 - Proceedings (2019)
14466	0.852	Ihirwe F.; Indamutsa A.; Ruscio D.D.; Mazzini S.; Pierantonio A.	Cloud-Based Modeling In Iot Domain: A Survey, Open Challenges And Opportunities	Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 (2021)
30629	0.851	Asha A.; Rajeshkumar L.; Pandi V.S.; Shobana D.; Lakshmi Priya J.; Dayanidhy M.	Implementing Cloud Computing With Internet Of Things (Iot) Technologies: Novel Approaches To Data Management And Service Delivery Innovation	2024 Global Conference on Communications and Information Technologies, GCCIT 2024 (2024)