SINCE 2004

  • 0

      0 Item in Bag


      Your Shopping bag is empty

      CHECKOUT
  • Notice

    • ALL COMPUTER, ELECTRONICS AND MECHANICAL COURSES AVAILABLE…. PROJECT GUIDANCE SINCE 2004. FOR FURTHER DETAILS CALL 9443117328

    Projects > COMPUTER > 2019 > NON IEEE > APPLICATION

    Energy-Efficient Link Selection and Transmission Scheduling in Mobile Cloud Computing


    Abstract

    Mobile cloud computing (MCC) converges mobile computing and Cloud computing for augmenting resource-poor mobile devices to run heavier applications. Energy-efficient data transmission is a key issue in MCC due to energy-poverty of mobile devices. To solve the above problem, the virtual machine is used in the cloud server. The data are entered through the VM in the cloud server which has the efficient energy, threshold, and the time limit . The remote user can perform the different task in the cloud server by using the low energy. To reduce the energy the Dynamic Programming with Hamming Distance Termination’ (DPH) algorithm is developed. It avoids the delay in processing the task and it provides the better performance.


    Existing System

    Mobile cloud computing (MCC) converges mobile computing and Cloud computing for augmenting resource-poor mobile devices to run heavier applications. With the increasing ubiquity of mobile devices, MCC exhibits vast application potential in various areas. Energy-efficient data transmission is a key issue in MCC due to energy-poverty of mobile devices. In this letter, we address the issue of energy-efficient link selection and data transmission scheduling for delay-tolerant and data intensive applications in MCC. We first formulate the problem as a discrete-time stochastic dynamic program (SDP) that aims to optimize both system throughput and energy consumption. To solve the formulated SDP, we then propose a scalable approximate dynamic programming (ADP) algorithm that does not require the statistics of exogenous stochastic information (e.g., data arrival). Simulation studies show that the proposed ADP algorithm can reduce the average energy consumed for delivering a packet by a maximum of over 40 percent compared to alternative minimum-delay and SALSA policies.


    Proposed System

    In the proposed system, each cloud server contains three virtual machine. In computing, a virtual machine (VM) is an emulation of a computer system. Virtual machines are based on computer architectures and provide functionality of a physical computer. Their implementations may involve specialized hardware, software, or a combination. For the cloud sever the virtual machine is allocated. The virtual machine has the allocated memory, threshold, bandwidth and the deadline is set for downloading the files from the cloud. The secret key is generated for downloading the files from the cloud in the secure manner. The user register their details for downloading the files from the cloud.


    Architecture


    ARCHITECTURE DIAGRAM


    FOR MORE INFORMATION CLICK HERE