Data Collection in Sensor-Cloud: A Systematic Literature Review

Ali, Ihsan

doi:10.36227/techrxiv.13007372

Cited by 1 publication

(4 citation statements)

References 51 publications

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“…Array of Cloudlet name [0][0] = ''CL6'' Array of Cloudlet name [1][0] = ''CL2'' Array of Cloudlet name [2][0] = ''CL5'' Array of Cloudlet burst time [0][0] = 160 Array of Cloudlet burst time [1][0] = 160 No application Cloudlet is scheduled until its respective Sensor-Cloudlet has run through completion. In SensorCloudSim intrinsic setting, VM scheduling policy should be set to time sharing so that all VMs are run concurrently at the same time.…”

Section: Modifications Brought To Cloudsimmentioning

confidence: 99%

“…Furthermore, various works that attempt to enhance the infrastructure have followed, presenting its theoretical modeling. 2–5 Later, a multi-method for data delivery for a greener Sensor-Cloud infrastructure was also presented. 18,19 Another worthy work to mention focused on the sensor grouping to form the virtual sensors.…”

Section: Related Workmentioning

confidence: 99%

“…It also enables multiple end-users requesting a service to access the sensed data coming from cloud-registered sensors. [1][2][3] In traditional WSN, 3 the user itself is the owner, since the application programming interface (API) used in the development of applications accessing the sensing nodes is specified by the sensor's manufacturer, who requires to be aware of the sensor's API hardware and location. Sensor-Cloud infrastructure has introduced the virtualization concept by developing a sensor layer in the cloud, which enables the end-user to access the services of various WSNs deployed by different organizations, in different geographic areas, against certain fees, as if the sensor nodes were part of the hardware.…”

Section: Introductionmentioning

confidence: 99%

“…It also enables multiple end-users requesting a service to access the sensed data coming from cloud-registered sensors. 1–3…”

Section: Introductionmentioning

confidence: 99%

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Extending CloudSim to simulate sensor networks

et al. 2022

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With the enormous growth of sensing devices tending to the use of Internet of everything, data aggregated by these devices are the biggest data streams generated in the history of IT. Thus, aggregating such data in the cloud for leveraging powerful cloud computing processing and storage is essential, and it eventually led to the emergence of Sensor-Cloud concept. This has allowed aggregation of the sensors’ data to the cloud for further processing, storage, and visualization. Furthermore, virtualization makes the sensors accessible to other end-user applications that require such data. All of these features are expected to be provided by the Sensor-Cloud invisibly, without the end-user application developer being aware of the sensor location or hardware specifications. For these reasons, a simulation platform where Sensor-Cloud infrastructure agents and components may be modeled, scheduling policies defined, and execution time assessed is essential to assure performance and quality of service. The aim of this study is to develop such a platform by enhancing CloudSim, the most well-known and powerful simulation tool for cloud computing. A user-friendly Java Script Swing-based graphical user interface (GUI) has been carefully designed and implemented for this purpose. The user can then utilize the specific interface to define the Cloudlet type as well as the scheduling on a single virtual machine. Finally, a simulation study is carried out on the platform to demonstrate its efficiency and accuracy. We were able to fully model the needed scenarios and acquire real-time results, displaying good accuracy in terms of application response time with a mean absolute percentage error (MAPE) of 3.37%, demonstrating the increased proposed platform’s proper operation.

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Section: Modifications Brought To Cloudsimmentioning

confidence: 99%