DocumentCode
9525
Title
Enabling Smart Cloud Services Through Remote Sensing: An Internet of Everything Enabler
Author
Abdelwahab, Sherif ; Hamdaoui, Bechir ; Guizani, Mohsen ; Rayes, A.
Author_Institution
Electr. Eng. & Comput. Sci. (EECS) Dept., Oregon State Univ., Corvallis, OR, USA
Volume
1
Issue
3
fYear
2014
fDate
Jun-14
Firstpage
276
Lastpage
288
Abstract
The recent emergence and success of cloud-based services has empowered remote sensing and made it very possible. Cloud-assisted remote sensing (CARS) enables distributed sensory data collection, global resource and data sharing, remote and real-time data access, elastic resource provisioning and scaling, and pay-as-you-go pricing models. CARS has great potentials for enabling the so-called Internet of Everything (IoE), thereby promoting smart cloud services. In this paper, we survey CARS. First, we describe its benefits and capabilities through real-world applications. Second, we present a multilayer architecture of CARS by describing each layer´s functionalities and responsibilities, as well as its interactions and interfaces with its upper and lower layers. Third, we discuss the sensing services models offered by CARS. Fourth, we discuss some popular commercial cloud platforms that have already been developed and deployed in recent years. Finally, we present and discuss major design requirements and challenges of CARS.
Keywords
Internet of Things; cloud computing; remote sensing; CARS; Internet of Everything enabler; IoE; cloud-assisted remote sensing; data sharing; distributed sensory data collection; elastic resource provisioning; elastic resource scaling; global resource sharing; multilayer architecture; pay-as-you-go pricing models; real-time data access; remote data access; smart cloud services; Cloud computing; Clouds; Intelligent sensors; Monitoring; Real-time systems; Cloud computing; Internet of Everything (IoE); remote sensing; smart cloud services;
fLanguage
English
Journal_Title
Internet of Things Journal, IEEE
Publisher
ieee
ISSN
2327-4662
Type
jour
DOI
10.1109/JIOT.2014.2325071
Filename
6817547
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