Showing 541 - 560 results of 2,372 for search '"cloud"', query time: 0.10s Refine Results
  1. 541

    An Efficient Policy-Based Scheduling and Allocation of Virtual Machines in Cloud Computing Environment by S. Supreeth, Kirankumari Patil, Shantala Devi Patil, S. Rohith, Y. Vishwanath, K. S. Venkatesh Prasad

    Published 2022-01-01
    “…Cloud computing has become the most challenging research field in the current information technology scenario. …”
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    Article
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    Fuzzy Theory-Based Data Placement for Scientific Workflows in Hybrid Cloud Environments by Zheyi Chen, Xu Zhao, Bing Lin

    Published 2020-01-01
    “…In hybrid cloud environments, reasonable data placement strategies are critical to the efficient execution of scientific workflows. …”
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    Article
  7. 547
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    Retracted: Cloud Network and Mathematical Model Calculation Scheme for Dynamic Big Data by Yiren Chen, Zhiyong Qiu

    Published 2020-01-01
    “…Cloud network oriented to dynamics big data is a popular way of big data operation at present. …”
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    Article
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    Case Study of Ground-Based Glaciogenic Seeding of Clouds over the Pyeongchang Region by Ha-Young Yang, Ki-Ho Chang, Sanghee Chae, Eunsil Jung, Seongkyu Seo, Jin-Yim Jeong, Jung-Ho Lee, Yonghun Ro, Baek-Jo Kim

    Published 2018-01-01
    “…Ground-based glaciogenic seeding experiments were conducted at the Daegwallyeong Cloud Physics Observation Site (CPOS) from 2012 to 2015 for the target area Yongpyeong, which lies 9 km away. …”
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    Article
  11. 551

    Micelle Mediated Trace Level Sulfide Quantification through Cloud Point Extraction by Samrat Devaramani, Pandurangappa Malingappa

    Published 2012-01-01
    “…A simple cloud point extraction protocol has been proposed for the quantification of sulfide at trace level. …”
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    Article
  12. 552

    Research and design of distributed high-performance network reptiles based on cloud platform by Enming SHI, Xiaojun XIAO, Yu LU

    Published 2017-08-01
    “…With the arrival of large data age,data has become the most valuable resource.And web crawler technology as an important means of external data collection,has become a standard tool for data analysis.A high-performance,convenient cloud-based crawler architecture design was introduced.The overall structure of the reptile to the distributed design and the design of the sub-module was described in detail.Each module of the crawler was encapsulated in Docker,and Kubernetes was used as the resource scheduling and management of the cluster.In the performance of optimization,the MD5 reset tree algorithm,DNS optimization and asynchronous I/O were adopted.Experimental results show that the performance of crawler has obvious advantages compared with the UN optimized scheme.…”
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    Article
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    Cloud Trust-Driven Hierarchical Sharing Method of Internet of Things Information Resources by Jianpeng Zhang

    Published 2021-01-01
    “…Therefore, this paper proposes a hierarchical simulation of the Internet of Things sharing structure framework that trusts the cloud to drive Internet information resource sharing. …”
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    Article
  16. 556

    Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things by Jing Mi, Xinghua Sun, Shihui Zhang, Naidi Liu

    Published 2022-01-01
    “…In order to solve the problems of single monitoring factor, weak comprehensive analysis ability, and poor real time performance in traditional environmental monitoring systems, a research method of residential environment pollution monitoring system based on cloud computing and Internet of Things is proposed. …”
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    Article
  17. 557

    Cloud data secure deduplication scheme via role-based symmetric encryption by Jinbo XIONG, Yuanyuan ZHANG, Youliang TIAN, Zuobin YING, Qi LI, Rong MA

    Published 2018-05-01
    “…The rapid development of cloud computing and big data technology brings prople to enter the era of big data,more and more enterprises and individuals outsource their data to the cloud service providers.The explosive growth of data and data replicas as well as the increasing management overhead bring a big challenge to the cloud storage space.Meanwhile,some serious issues such as the privacy disclosure,authorized access,secure deduplication,rekeying and permission revocation should also be taken into account.In order to address these problems,a role-based symmetric encryption algorithm was proposed,which established a mapping relation between roles and role keys.Moreover,a secure deduplication scheme was proposed via role-based symmetric encryption to achieve both the privacy protection and the authorized deduplication under the hierarchical architecture in the cloud computing environment.Furthermore,in the proposed scheme,the group key agreement protocol was utilized to achieve rekeying and permission revocation.Finally,the security analysis shows that the proposed role-based symmetric encryption algorithm is provably secure under the standard model,and the deduplication scheme can meet the security requirements.The performance analysis and experimental results indicate that the proposed scheme is effective and efficient.…”
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    Article
  18. 558

    Service Innovation of Insurance Data Based on Cloud Computing in the Era of Big Data by Wei Yang, Junkai Zhou

    Published 2021-01-01
    “…To sum up, the insurance innovation service based on cloud computing insurance data can improve customer satisfaction, increase the number of policyholders, reduce the number of complaints, and achieve a more successful insurance service innovation. …”
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    Article
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