Cloud Computing

Truth discovery techniques, which can obtain accurate aggregation results based on the weighted sensory data of users, are widely adopted in industrial sensing systems. However, there are some privacy matters that cannot be ignored in truth discovery process. While most of the existing privacy preserving truth discovery methods focus on the privacy of sensory data, they may neglect to protect the privacy of another equally important information, the tagged location information.

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  • Cloud Computing
  • Last Updated On: 
    Thu, 04/30/2020 - 10:36

    Internet of Things (IoT) make the world easy, with healthcare applications being the most important. In general, IoT is used to interconnect advanced medical resources and provide smart and effective healthcare services to people. Advanced sensors can either be worn or embedded in patients' bodies, so that their health can be monitored remotely. Information collected in this way can be analyzed, collected, and mined to make an early prediction of diseases. Processing algorithms help physicians to personalize treatment and it helps to make healthcare affordable, with better results.

    39 views
  • Cloud Computing
  • Last Updated On: 
    Thu, 04/30/2020 - 07:38

    DevOps originated in the context of the agile methodology context to enable the continuous deployment and delivery of software applications in small releases. Organizations are taking a significant interest in adopting DevOps for deploying IoT applications to multi-cloud. The interest is there; however, there is no sufficient information on how to adopt DevOps to address this challenge effectively. A new DevOps reference architecture (DRA) framework has been developed to address this challenge. The DRA enables the automation of the IoT application deployment to a multi-cloud environment.

    47 views
  • Cloud Computing
  • Last Updated On: 
    Sat, 04/04/2020 - 05:17

    Dataset for paper.

    100 views
  • Artificial Intelligence
  • Last Updated On: 
    Fri, 03/20/2020 - 01:44

    Master data has played a significant role in improving operational efficiencies and has attracted the attention of many large businesses over the decade. Recent professional searches have also proved a significant growth in the practice and research of managing these master data assets.

    56 views
  • Artificial Intelligence
  • Last Updated On: 
    Sat, 03/14/2020 - 00:20

     AutoScale Dataset

    58 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 03/11/2020 - 03:01

    This is HCSP based dataset that is comprised of VMs and Cloudlets which could be used for task scheduling in cloud computing.

    327 views
  • Cloud Computing
  • Last Updated On: 
    Sat, 04/11/2020 - 05:40

    Dataset for the "Collaborative Business Intelligence on the Cloud" publication.

    112 views
  • Cloud Computing
  • Last Updated On: 
    Wed, 11/27/2019 - 04:03

    Normal
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    7.8 磅
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    EN-US
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    86 views
  • Artificial Intelligence
  • Last Updated On: 
    Fri, 11/01/2019 - 02:53