150,564 research outputs found

    What is Hidden Within the Cloud?

    No full text
    Over the past few years cloud computing has become one of the most significant technological trends. The aim of this paper is to discuss the main characteristics of cloud computing, identify the challenges concerning the security and control of information within the cloud and finally to examine how secure information can be in it. Section one gives an overview of the technology by presenting its key aspects and architecture. The security issues about its adoption are explored briefly in section two followed by possible ways to prevent these threats on section three. Finally, in section four the research focuses on the future of cloud computing and closes with an evaluation of how secure the cloud is on section five

    Reseach on Cloud Computing Service Oriented Architecture (雲端運算服務導向架構之研究 楊建民 1 蔡鈞華 2 劉俊宏 3)

    Get PDF
    With the development of cloud computing infrastructure, how to combine enterprise information services with external cloud computing resources is an important issue important research topic. At present, some major service providers in the market, such as Google, IBM and HP, etc. It strives to promote and provide powerful cloud computing capabilities and a complete application service environment; however, the current cloud computing The overall application and data are placed on an external platform, causing doubts about the transfer of control rights and information security when enterprises introduce cloud computing. consider.. This research adopts Google Cloud Computing Environment, combines Cloud Computing and Service Oriented Architecture to develop a four-dimensional Layered service platform, in which the application interface layer takes advantage of the open platform to reduce the burden of service interface development. center The control layer connects the service provider and the service demander, controls the complete service process, and uses external cloud computing and Resources in the Data Center. The service supply layer combines various application services and data sources, by separating computing and data This method allows service demanders to maintain control over data, so as to solve the doubts about information security when enterprises introduce cloud architecture. consider. The infrastructure layer can be connected to cloud computing resources, and the service architecture and computing proposed by various cloud operators can be used in the future Capability and storage resources, and according to the advantages and characteristics of individual platforms, give full play to the benefits of cloud computing architecture. Finally, this study demonstrates the feasibility and integration of this service platform by developing the application of digital learning community websites The advantages of external cloud computing services, and future research directions

    Cloud computing resource scheduling and a survey of its evolutionary approaches

    Get PDF
    A disruptive technology fundamentally transforming the way that computing services are delivered, cloud computing offers information and communication technology users a new dimension of convenience of resources, as services via the Internet. Because cloud provides a finite pool of virtualized on-demand resources, optimally scheduling them has become an essential and rewarding topic, where a trend of using Evolutionary Computation (EC) algorithms is emerging rapidly. Through analyzing the cloud computing architecture, this survey first presents taxonomy at two levels of scheduling cloud resources. It then paints a landscape of the scheduling problem and solutions. According to the taxonomy, a comprehensive survey of state-of-the-art approaches is presented systematically. Looking forward, challenges and potential future research directions are investigated and invited, including real-time scheduling, adaptive dynamic scheduling, large-scale scheduling, multiobjective scheduling, and distributed and parallel scheduling. At the dawn of Industry 4.0, cloud computing scheduling for cyber-physical integration with the presence of big data is also discussed. Research in this area is only in its infancy, but with the rapid fusion of information and data technology, more exciting and agenda-setting topics are likely to emerge on the horizon

    Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support.

    Get PDF
    A wide range of multimedia services is expected to be offered for mobile users via various wireless access networks. Even the integration of Cloud Computing in such networks does not support an adequate Quality of Experience (QoE) in areas with high demands for multimedia contents. Fog computing has been conceptualized to facilitate the deployment of new services that cloud computing cannot provide, particularly those demanding QoE guarantees. These services are provided using fog nodes located at the network edge, which is capable of virtualizing their functions/applications. Service migration from the cloud to fog nodes can be actuated by request patterns and the timing issues. To the best of our knowledge, existing works on fog computing focus on architecture and fog node deployment issues. In this article, we describe the operational impacts and benefits associated with service migration from the cloud to multi-tier fog computing for video distribution with QoE support. Besides that, we perform the evaluation of such service migration of video services. Finally, we present potential research challenges and trends

    Laboratory Test Bench for Research Network and Cloud Computing

    Full text link
    At present moment, there is a great interest in development of information systems operating in cloud infrastructures. Generally, many of tasks remain unresolved such as tasks of optimization of large databases in a hybrid cloud infrastructure, quality of service (QoS) at different levels of cloud services, dynamic control of distribution of cloud resources in application systems and many others. Research and development of new solutions can be limited in case of using emulators or international commercial cloud services, due to the closed architecture and limited opportunities for experimentation. Article provides answers to questions on the establishment of a pilot cloud practically "at home" with the ability to adjust the width of the emulation channel and delays in data transmission. It also describes architecture and configuration of the experimental setup. The proposed modular structure can be expanded by available computing power.Comment: 5 page
    corecore