An energy efficient service composition mechanism using a hybrid meta-heuristic algorithm in a mobile cloud environment

<p>By increasing mobile devices in technology and human life, using a runtime and mobile services has gotten more complex along with the composition of a large number of atomic services. Different services are provided by mobile cloud components to represent the non-functional properties as Quality of Service (QoS), which is applied by a set of standards. On the other hand, the growth of the energy-source heterogeneity in mobile clouds is an emerging challenge according to the energy-saving problem in mobile nodes. To mobile cloud service composition as an NP-Hard problem, an efficient selection method should be taken by problem using optimal energy-aware methods that can extend the deployment and interoperability of mobile cloud components. Also, an energy-aware service composition mechanism is required to preserve high energy saving scenarios for mobile cloud components. In this paper, an energy-aware mechanism is applied to optimize mobile cloud service composition using a hybrid Shuffled Frog Leaping Algorithm and Genetic Algorithm (SFGA). Experimental results capture that the proposed mechanism improves the feasibility of the service composition with minimum energy consumption, response time, and cost for mobile cloud components against some current algorithms. </p>

An energy efficient service composition mechanism using a hybrid meta-heuristic algorithm in a mobile cloud environment

<p>By increasing mobile devices in technology and human life, using a runtime and mobile services has gotten more complex along with the composition of a large number of atomic services. Different services are provided by mobile cloud components to represent the non-functional properties as Quality of Service (QoS), which is applied by a set of standards. On the other hand, the growth of the energy-source heterogeneity in mobile clouds is an emerging challenge according to the energy-saving problem in mobile nodes. To mobile cloud service composition as an NP-Hard problem, an efficient selection method should be taken by problem using optimal energy-aware methods that can extend the deployment and interoperability of mobile cloud components. Also, an energy-aware service composition mechanism is required to preserve high energy saving scenarios for mobile cloud components. In this paper, an energy-aware mechanism is applied to optimize mobile cloud service composition using a hybrid Shuffled Frog Leaping Algorithm and Genetic Algorithm (SFGA). Experimental results capture that the proposed mechanism improves the feasibility of the service composition with minimum energy consumption, response time, and cost for mobile cloud components against some current algorithms. </p>

An energy efficient service composition mechanism using a hybrid meta-heuristic algorithm in a mobile cloud environment

<p>By increasing mobile devices in technology and human life, using a runtime and mobile services has gotten more complex along with the composition of a large number of atomic services. Different services are provided by mobile cloud components to represent the non-functional properties as Quality of Service (QoS), which is applied by a set of standards. On the other hand, the growth of the energy-source heterogeneity in mobile clouds is an emerging challenge according to the energy-saving problem in mobile nodes. To mobile cloud service composition as an NP-Hard problem, an efficient selection method should be taken by problem using optimal energy-aware methods that can extend the deployment and interoperability of mobile cloud components. Also, an energy-aware service composition mechanism is required to preserve high energy saving scenarios for mobile cloud components. In this paper, an energy-aware mechanism is applied to optimize mobile cloud service composition using a hybrid Shuffled Frog Leaping Algorithm and Genetic Algorithm (SFGA). Experimental results capture that the proposed mechanism improves the feasibility of the service composition with minimum energy consumption, response time, and cost for mobile cloud components against some current algorithms. </p>

Research on mobile cloud service model based on WBS

The construction of mobile cloud service platform is innovative complex project. This paper analyzed service innovation behavior based on the four-dimensional model of service innovation, and to study the implementation process of mobile cloud service platform for rural leisure tourism based on WBS method multi-dimensional description, to propose a rolling, flow-based work breakdown structure design idea. The research results show that by properly setting the WBS and monitoring points, it is possible to detect and prevent the deviation of the progress cost correlation in time and to ensure the quality of the platform. Research results can provide the basis for decision making by relevant industry managers.

Secured Mobile Cloud Service System Based On Trapdoor

When file owner like to store the file into cloud server that time file owner file upload request send to the provider. That time provider sends the file upload key to the file owner. When provider receives the file from the file owner that time provider upload the file into the cloud server. Here provider split the file index and file store the different location in cloud server. This is mainly used for the security of the files. Same time when file owner want to view the upload file from the cloud server that time file owner send the request to provider. That time provider in case of not view to file owner request that is the main problem of the existing system. So here we are learn about how to overcome this problem. That the above functions are same but one different for when upload the file from the provider that time index keys are stored to the trapdoor. Trapdoor means like a virtual machines this trap door mainly used for the when file owner request send to the file key that time automatically fetch the key from this trapdoor this is mainly used for work load reduce for the provider and time reduce for the file owner access the file key. Here that file keys are encrypted format when store into cloud server because unauthorized can’t access the file without permission of provider. The main scope of this paper is to solve the security problems and retrieve the document form the cloud sever. This is used to reduce the time to access document from cloud.