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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 
Enabling Smart Cloud Services Through Remote 
Sensing: An Internet of Everything Enabler 
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 realtime data access, elastic resource 
provisioning and scaling, and payas-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. 
Existing system 
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 realtime data access, elastic resource 
provisioning and scaling, and payas-you-go pricing models. CARS has great potentials for 
enabling the so-called Internet of Everything (IoE), thereby promoting smart cloud services.
Proposed System 
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. 
SYSTEM CONFIGURATION:- 
HARDWARE CONFIGURATION:- 
 Processor - Pentium –IV 
 Speed - 1.1 Ghz 
 RAM - 256 MB(min) 
 Hard Disk - 20 GB 
 Key Board - Standard Windows Keyboard 
 Mouse - Two or Three Button Mouse 
 Monitor - SVGA 
SOFTWARE CONFIGURATION:- 
 Operating System : Windows XP 
 Programming Language : JAVA 
 Java Version : JDK 1.6 & above.

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IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Enabling smart cloud services through remote sensing an internet of everything enabler

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com Enabling Smart Cloud Services Through Remote Sensing: An Internet of Everything Enabler 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 realtime data access, elastic resource provisioning and scaling, and payas-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. Existing system 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 realtime data access, elastic resource provisioning and scaling, and payas-you-go pricing models. CARS has great potentials for enabling the so-called Internet of Everything (IoE), thereby promoting smart cloud services.
  • 2. Proposed System 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. SYSTEM CONFIGURATION:- HARDWARE CONFIGURATION:-  Processor - Pentium –IV  Speed - 1.1 Ghz  RAM - 256 MB(min)  Hard Disk - 20 GB  Key Board - Standard Windows Keyboard  Mouse - Two or Three Button Mouse  Monitor - SVGA SOFTWARE CONFIGURATION:-  Operating System : Windows XP  Programming Language : JAVA  Java Version : JDK 1.6 & above.