Zubair Nabi

Washington DC-Baltimore Area Contact Info
2K followers 500+ connections

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About

I build and scale ideas, products, systems, and people.

My career can be sliced…

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Experience & Education

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Publications

  • Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark

    Apress

    Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. Pro Spark Streaming walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation…

    Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. Pro Spark Streaming walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation. The domains covered in the book include social media, the sharing economy, finance, online advertising, telecommunication, and IoT.

    See publication

  • Of Streams and Storms

    IBM White Paper

    In this paper, we compare the performance of IBM InfoSphere Streams against Apache
    Storm, a leading open source alternative, to augment existing literature. To this end,
    we implemented a real-world stream processing application, which enables email
    classification for online spam detection on both platforms. Our goal was to analyze both
    the quantitative differences in performance as well as the qualitative differences in
    application writing and framework tuning. Similar to…

    In this paper, we compare the performance of IBM InfoSphere Streams against Apache
    Storm, a leading open source alternative, to augment existing literature. To this end,
    we implemented a real-world stream processing application, which enables email
    classification for online spam detection on both platforms. Our goal was to analyze both
    the quantitative differences in performance as well as the qualitative differences in
    application writing and framework tuning. Similar to other studies, we employed CPU
    time and throughput as primary metrics to compare the efficacy of both systems. Overall,
    our results show that for the application benchmark documented in this paper, Streams
    outperforms Storm by 2.6 to 12.3 times in terms of throughput while simultaneously
    consuming 5.5 to 14.2 times less CPU time.

    Other authors
    See publication

  • Censorship is Futile

  • The X-flex cross-platform scheduler: who's the fairest of them all?

    Proceedings of the Middleware Industry Track

  • Open-VSeSeMe: A Middleware for Efficient Vehicular Sensor Processing

  • The Anatomy of Web Censorship in Pakistan

    Free and Open Communications on the Internet ' 13, USENIX Association

    See publication

  • Evolving TCP.: how hard can it be?

    CoNEXT Student '12 Proceedings of the 2012 ACM conference on CoNEXT student workshop Pages 35-36

    Other authors
    • Toby Moncaster
    • Anil Madhavapeddy
    • Steven Hand
    • Jon Crowcroft
    See publication

  • Raabta: low-cost video conferencing for the developing world

    Proceedings of the 2013 ACM MobiCom workshop on Lowest cost denominator networking for universal access, Pages 15-20

    See publication

  • The Best of Two Worlds: Integrating IBM InfoSphere Streams with Apache YARN

    IEEE International Conference on Big Data, 2014

Courses

  • Advanced Topics in Computer Systems

    R01

  • Building an Internet Router

    P33

  • Network Architectures

    R02

  • Operating and Distributed System Security

    R206

  • Programming for Mobiles

    P36

  • Research Skills

    C00

Projects

  • OpenMonitor: Mobile Agent

    - Present

    Other creators
    See project

  • OpenMonitor

    Open Monitor is a project developed by Umit Project, and was started during Google Summer of Code 2011. Its goal is to provide real time data about internet censorship and restrictions world wide. This is a free service that runs on top of our free and open source software, and we’re working hard on it in the hope that it will be useful for people facing these issues anywhere in the world.

    Other creators
    See project

  • Analytics on

    -

    IBM worked with a customer to load and correlate multiple large data source streams, perform data discovery, build prediction algorithms and visualise the findings. These activities were performed on IBM Big Insights (~IBM's version of Hadoop), IBM Streams (~IBM's version of Storm/Spark) using custom Python, Java and R.

    Other creators

  • A plethora of projects which revolve around Hadoop, YARN, Streams, Storm, Spark, BigInsights, BigR, Pig, JAQL, and the whole shebang.

    -

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