Browse Research and Tech Reports - Computer Science by Author "Abdelzaher, Tarek"

  • Yiran Zhao; Li, Shen; Hu, Shaohan; Wang, Hongwei; Yao, Shuochao; Shao, Huajie; Abdelzaher, Tarek (VLDB Endowment, 2016-09-04)
    This paper presents a comprehensive evaluation of an ultra-low power cluster, built upon the Intel Edison based micro servers. The improved performance and high energy efficiency of micro servers have driven both academia ...

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  • Li, Shen; Xiaoxiao Wang; Hu, Shaohan; Yiran Zhao; Wang, Shiguang; Su, Lu; Abdelzaher, Tarek (2015)
    This paper presents the generalized packing server. It reduces the problem of scheduling tasks with precedence constraints on multiple processing units to the problem of scheduling independent tasks. The work generalizes ...

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  • Giridhar, Prasanna; Wang, Shiguang; Abdelzaher, Tarek; Kaplan, Lance; George, Jemin; Ganti, Raghu (2017-05)
    This paper develops an algorithm that exploits picture-oriented social networks to localize urban events. We choose picture-oriented networks because taking a picture requires physical proximity, thereby revealing the ...

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  • Dalmia, Kashev; Abdelzaher, Tarek; Li, Shen (2016-06-30)
    In this paper, we use passivity theory as an approach for dealing with dynamical systems, and demonstrate how to apply it to software systems in a general way. We first cover key results from passivity theory. Then, using ...

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  • Kim, Jung-Eun; Bradford, Richard; Abdelzaher, Tarek; Sha, Lui (Department of Computer Science at the University of Illinois at Urbana-Champaign, 2016-11)
    This paper presents a new schedulability test for safety-critical software undergoing a transition from single-core to multicore systems - a challenge faced by multiple industries today. Our migration model, consisting of ...

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  • Giridhar, Prasanna; Abdelzaher, Tarek; Kaplan, Lance (2017-02-01)

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  • Amin, Md Tanvir Al; Aggarwal, Charu; Yao, Shuochao; Abdelzaher, Tarek; Kaplan, Lance (IEEE, 2017)
    This paper presents unsupervised algorithms to uncover polarization in social networks (namely, Twitter) and identify polarized groups. The approach is language-agnostic and thus broadly applicable to global and multilingual ...

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