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@article{145969,
        author = {J Manoj Kumar and T.SPANDHANA},
        title = {Efficient model Approach for IaaS Data Center presentation examination under varied Workload},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {836-839},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145969},
        abstract = {Heterogeneity prevails not only among physical machines however also among workloads in real IaaS Cloud information centers (CDCs). The heterogeneousness makes performance modeling of huge and complicated IaaS CDCs even more difficult. This paper considers the situation wherever the quantity of virtual CPUs requested by every client job is also totally different. we have a tendency to propose a hierarchical random modeling approach applicable to IaaS agency performance analysis below such a heterogeneous work. Numerical results obtained from the planned analytic model ar verified through discrete-event simulations below numerous system
parameter settings.
},
        keywords = {Data mining, data stream clustering, density-based clustering},
        month = {},
        }