4 Cloud Virtual

8/12/2019 4 Cloud Virtual

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Juan Alapin 324507516 Alon Shahaf 039785431


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Traditional WSN Sensor Clould Other stuff??!?


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The users responsibilities: Own a WSN Program the sensors Deployment Maintenance


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Drawbacks: One application per sensor network Time Resources


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Combined WSNs in a wide geographical area. Virtualization of the sensors. (sensor = service) Affordable! Dynamic/Adaptive to the needs of the users applications Better sensors management (use and control) Sharing among users (reduces redundancy, increases

efficiency) Transparent to users in low level details


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Emulation of a physical sensor Contains information of both the physical sensor and the

users holding it. Overcomes hardware limitations Implemented in four configurations:

One-to-many Many-to-one

Many-to-many Derived


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One-to-Many One physical sensor corresponds to many virtual sensors. Shared between many users. Dynamic sampling duration and frequency (No. of users)


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Many-to-One The geographical area is divided into regions, with one or

more physical sensors & sensors networks. User has access to all WSNs in the region with specific

phenomena. Fault tolerance. Adaptive to changes in topology.


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Divided into three layers:


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Client-centric layer: Acts as a gateway between users and sensors. User Interface Session management Membership management Repository management


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Middleware layer: Connects client requests with sensors data Provision management Image life-cycle management Billing management


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Sensor-centric layer: Commincation with the physical sensors. WSN Registration WSN Maintenance Data collection


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Multi-tiered client-server architecture:


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Developing sensor cloud: System side

Client-centric & Middleware layers Manage physical resources

Sensor side Sensor-centric layer Synchronization Fault tolerance Security Sensor specific constraints ( Low power,bandwidth,energy resources)


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Two levels of QoS: Sensor-centric

Responding to node failures Network partioning Packet losses

Virtual sensors Reliability Data accuracy Coverage


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Back-End servers platform: Linux Web application & Back-End servers application: JAVA Communication: Sockets & RMI Wireless sensors: TelosB motes


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Back-End servers platform: Linux Web application & Back-End servers application: JAVA Communication: Sockets & RMI Wireless sensors: TelosB motes


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Combination of requests from users. Data is stored in the database.


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The Sensor Cloud .. Takes the burden away from the users Sensing as a service


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Documents

4 Cloud Virtual