IEEE Transactions on Cloud Computing

Issue 4 • Oct.-Dec. 1 2015

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  • LsPS: A Job Size-Based Scheduler for Efficient Task Assignments in Hadoop

    Publication Year: 2015, Page(s):411 - 424
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1377 KB) | HTML iconHTML

    The MapReduce paradigm and its open source implementation Hadoop are emerging as an important standard for large-scale data-intensive processing in both industry and academia. A MapReduce cluster is typically shared among multiple users with different types of workloads. When a flock of jobs are concurrently submitted to a MapReduce cluster, they compete for the shared resources and the overall sy... View full abstract»

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  • Privacy-Preserving Data Storage in Cloud Using Array BP-XOR Codes

    Publication Year: 2015, Page(s):425 - 435
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (255 KB) | HTML iconHTML

    LDPC codes, LT codes, and digital fountain techniques have received significant attention from both academics and industry in the past few years. By employing the underlying ideas of efficient Belief Propagation (BP) decoding process in LDPC and LT codes, this paper designs the BP-XOR codes and use them to design three classes of secret sharing schemes called BP-XOR secret sharing schemes, pseudo-... View full abstract»

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  • Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform

    Publication Year: 2015, Page(s):436 - 448
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (913 KB) | HTML iconHTML

    Although many pricing schemes in IaaS platform are already proposed with pay-as-you-go and subscription/spot market policy to guarantee service level agreement, it is still inevitable to suffer from wasteful payment because of coarse-grained pricing scheme. In this paper, we investigate an optimized fine-grained and fair pricing scheme. Two tough issues are addressed: (1) the profits of resource p... View full abstract»

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  • Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS

    Publication Year: 2015, Page(s):449 - 458
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (911 KB) | HTML iconHTML

    As companies shift from desktop applications to cloud-based software as a service (SaaS) applications deployed on public clouds, the competition for end-users by cloud providers offering similar services grows. In order to survive in such a competitive market, cloud-based companies must achieve good quality of service (QoS) for their users, or risk losing their customers to competitors. However, m... View full abstract»

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Aims & Scope

The IEEE Transactions on Cloud Computing (TCC) is a scholarly journal dedicated to the multidisciplinary field of cloud computing.

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Meet Our Editors

Editor-in-Chief
Hui Lei
IBM
1101 Kitchawan Road
Yorktown Heights, NY 10598
dr.huilei@gmail.com