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  • 1
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  Software: Practice and Experience Vol. 52, No. 5 ( 2022-05), p. 1199-1215
    In: Software: Practice and Experience, Wiley, Vol. 52, No. 5 ( 2022-05), p. 1199-1215
    Abstract: Clustering algorithms play a very important role in machine learning. With the development of big‐data artificial intelligence, distributed parallel algorithms have become an important research field. To reduce the computational complexity and running time of large‐scale datasets in the clustering process, this study proposes a distributed clustering algorithm DACA (distributed adaptive grid decision graph based clustering algorithm). In a distributed environment, DACA uses relative entropy to adaptively mesh the data to form an obvious sparse grid and dense grid. Then, the decision graph is used to determine the cluster center mesh object. Finally, the KD‐tree is used to accelerate the determination of the cluster center of sparse points to complete clustering. The algorithm is implemented using the popular Apache Spark computing framework, compared with other distributed clustering algorithms, DACA can adaptively divide the grid according to the data distribution to obtain better clustering effect. At the same time, KD tree algorithm is used to speed up the decision‐making of clustering center. Numerous experiments show that the DACA algorithm has excellent performance and accuracy on six standard datasets and real GPS trajectory datasets.
    Type of Medium: Online Resource
    ISSN: 0038-0644 , 1097-024X
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 120252-2
    detail.hit.zdb_id: 1500326-7
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  • 2
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2012
    In:  Zeitschrift für angewandte Mathematik und Physik Vol. 63, No. 3 ( 2012-6), p. 461-473
    In: Zeitschrift für angewandte Mathematik und Physik, Springer Science and Business Media LLC, Vol. 63, No. 3 ( 2012-6), p. 461-473
    Type of Medium: Online Resource
    ISSN: 0044-2275 , 1420-9039
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
    detail.hit.zdb_id: 1464001-6
    detail.hit.zdb_id: 203013-5
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  • 3
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2021
    In:  IEEE Transactions on Knowledge and Data Engineering
    In: IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers (IEEE)
    Type of Medium: Online Resource
    ISSN: 1041-4347 , 1558-2191 , 2326-3865
    RVK:
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2021
    detail.hit.zdb_id: 1001468-8
    detail.hit.zdb_id: 2026620-0
    SSG: 24,1
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  • 4
    Online Resource
    Online Resource
    Association for Computing Machinery (ACM) ; 2024
    In:  ACM Computing Surveys Vol. 56, No. 3 ( 2024-03-31), p. 1-40
    In: ACM Computing Surveys, Association for Computing Machinery (ACM), Vol. 56, No. 3 ( 2024-03-31), p. 1-40
    Abstract: Secure keyword search is a prevailing search service offered in outsourced environments. However, with the increasingly severe security vulnerabilities of conventional centralized outsourcing, the architecture of secure keyword search, with searchable encryption (SE) as the underlying technique, has recently shifted from cloud-centered models to blockchain-assisted models. Existing surveys commonly fail to capture such an evolution and the corresponding benefits. What on earth does blockchain bring about and what are the unexplored challenges? This survey provides a systematic review of secure keyword search over outsourced data from cloud to blockchain-assisted architectures. We propose a taxonomy assorting present studies, depending on whether cloud/blockchain and data sharing are included, in which blockchain-assisted architecture is further divided into blockchain-side and cloud-side keyword search, respectively. Technically, we conclude five types of representative SE techniques with fitting architectures, either cryptographic-based or hardware-dependent. Notably, we propose comprehensive methodologies to select relevant papers, discuss, and compare existing schemes regarding functionalities, security, efficiency, and fairness (up to 21 compared items). Finally, open issues and potential research directions are identified for future work. We aspire to help pave the way for addressing the theoretical and empirical aspects of secure keyword search and full-fledged real-world implementation of blockchain-based keyword search applications.
    Type of Medium: Online Resource
    ISSN: 0360-0300 , 1557-7341
    RVK:
    Language: English
    Publisher: Association for Computing Machinery (ACM)
    Publication Date: 2024
    detail.hit.zdb_id: 215909-0
    detail.hit.zdb_id: 1495309-2
    detail.hit.zdb_id: 626472-4
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  • 5
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Scientific Programming Vol. 2022 ( 2022-9-5), p. 1-11
    In: Scientific Programming, Hindawi Limited, Vol. 2022 ( 2022-9-5), p. 1-11
    Abstract: With the rapid development of the market economy, location information services have shifted from outdoor to indoor, requiring higher system accuracy. Indoor positioning and control is an indispensable technical support for mobile home service robots to perform system tasks, and this technology is also an important parameter that marks the level of intelligence of a home service robot. However, in indoor places, how to obtain the target node location information timely and accurately and how to control and path planning should be the first issues to be considered in the design of home robots at this stage. This article gave a brief overview of the current indoor positioning technology and control, analyzed the more widely and frequently used indoor positioning methods, and deeply studied the ultrasonic positioning technology. On this basis, a mobile home service robot system was designed, and simulation experiments were carried out, respectively, to test the receiving time and arrival time of the node signal, the node positioning accuracy, the optimal degree of route planning, and the absolute and relative errors of navigation and path estimation. The experimental results showed that the accuracy of the robot system positioning proposed in this article reached more than 80%, and the relative error was only 4.21%, which verified its feasibility and effectiveness in practical applications. Popularizing it in the market can effectively improve the system performance and intelligence of home service robots.
    Type of Medium: Online Resource
    ISSN: 1875-919X , 1058-9244
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2070004-0
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  • 6
    Online Resource
    Online Resource
    Wiley ; 2023
    In:  Concurrency and Computation: Practice and Experience Vol. 35, No. 21 ( 2023-09-25)
    In: Concurrency and Computation: Practice and Experience, Wiley, Vol. 35, No. 21 ( 2023-09-25)
    Abstract: Accurate resource allocation and colocating jobs are effective ways to increase resource utilization and reduce costs in modern datacenters. The main challenges are fluctuations in resource consumption and interference among colocated jobs. Therefore, we propose a resource management schema based on the probability distributions of resource consumption and completion time for multitenant cloud clusters. First, we found that the characteristics of the task can be well described by the probability distribution of resource consumption and completion time, and the probability distribution function can be obtained by Gaussian fitting. Second, we propose a probability distribution based resource allocation (PDRA) strategy for batch jobs. Third, we design a tail latency aware allocation (TLAA) strategy to use transient resources efficiently while ensuring tail latency requirements. Finally, we design a cost‐effective resource revocation (CERR) strategy to revoke transient resources with minimal eviction costs. Experimental results demonstrate the efficiency of our resource management. Our resource allocation strategies (PDRA and TLAA) can effectively improve resource utilization and reduce job completion time. CERR can reduce the impact of resource revocation on batch jobs and perform better than existing resource revocation strategies.
    Type of Medium: Online Resource
    ISSN: 1532-0626 , 1532-0634
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2052606-4
    SSG: 11
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  • 7
    Online Resource
    Online Resource
    Elsevier BV ; 2024
    In:  Journal of Differential Equations Vol. 378 ( 2024-01), p. 479-511
    In: Journal of Differential Equations, Elsevier BV, Vol. 378 ( 2024-01), p. 479-511
    Type of Medium: Online Resource
    ISSN: 0022-0396
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2024
    detail.hit.zdb_id: 217241-0
    detail.hit.zdb_id: 1469173-5
    SSG: 17,1
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