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Toward a Global Data Infrastructure
Nitesh Mor, Ben Zhang, John Kolb, Douglas S. Chan, Nikhil Goyal, Nicholas Sun, Ken Lutz, Eric Allman, John Wawrzynek, Edward A. Lee, John Kubiatowicz

Citation
Nitesh Mor, Ben Zhang, John Kolb, Douglas S. Chan, Nikhil Goyal, Nicholas Sun, Ken Lutz, Eric Allman, John Wawrzynek, Edward A. Lee, John Kubiatowicz. "Toward a Global Data Infrastructure". IEEE Internet Computing, 20(3):54-62, May 2016.

Abstract
The Internet of Things (IoT) represents a new class of applications that can benefit from cloud infrastructure. However, directly connecting smart devices to the cloud has a number of disadvantages and is unlikely to keep up with either the growing speed of the IoT or the diverse needs of IoT applications. We explore these disadvantages and argue that fundamental properties of the IoT prevent the current approach from scaling. What is missing is a well-architected system extending functionality of the cloud and providing seamless interplay among the heterogeneous components closer to the edge in the IoT space. We argue that raising the level of abstraction to a data-centric design—focused around the distribution, preservation and protection of information—better matches the IoT. We present early work on such a distributed platform, called the Global Data Plane (GDP), and discuss how it addresses the problems with the cloud-centric architecture.

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Citation formats  
  • HTML
    Nitesh Mor, Ben Zhang, John Kolb, Douglas S. Chan, Nikhil
    Goyal, Nicholas Sun, Ken Lutz, Eric Allman, John Wawrzynek,
    Edward A. Lee, John Kubiatowicz. <a
    href="http://chess.eecs.berkeley.edu/pubs/1172.html"
    >Toward a Global Data Infrastructure</a>,
    <i>IEEE Internet Computing</i>, 20(3):54-62, May
    2016.
  • Plain text
    Nitesh Mor, Ben Zhang, John Kolb, Douglas S. Chan, Nikhil
    Goyal, Nicholas Sun, Ken Lutz, Eric Allman, John Wawrzynek,
    Edward A. Lee, John Kubiatowicz. "Toward a Global Data
    Infrastructure". <i>IEEE Internet
    Computing</i>, 20(3):54-62, May 2016.
  • BibTeX
    @article{MorZhangKolbChanGoyalSunLutzAllmanWawrzynekLeeKubiatowicz16_TowardGlobalDataInfrastructure,
        author = {Nitesh Mor and Ben Zhang and John Kolb and Douglas
                  S. Chan and Nikhil Goyal and Nicholas Sun and Ken
                  Lutz and Eric Allman and John Wawrzynek and Edward
                  A. Lee and John Kubiatowicz},
        title = {Toward a Global Data Infrastructure},
        journal = {IEEE Internet Computing},
        volume = {20},
        number = {3},
        pages = {54-62},
        month = {May},
        year = {2016},
        abstract = {The Internet of Things (IoT) represents a new
                  class of applications that can benefit from cloud
                  infrastructure. However, directly connecting smart
                  devices to the cloud has a number of disadvantages
                  and is unlikely to keep up with either the growing
                  speed of the IoT or the diverse needs of IoT
                  applications. We explore these disadvantages and
                  argue that fundamental properties of the IoT
                  prevent the current approach from scaling. What is
                  missing is a well-architected system extending
                  functionality of the cloud and providing seamless
                  interplay among the heterogeneous components
                  closer to the edge in the IoT space. We argue that
                  raising the level of abstraction to a data-centric
                  design—focused around the distribution,
                  preservation and protection of
                  information—better matches the IoT. We present
                  early work on such a distributed platform, called
                  the Global Data Plane (GDP), and discuss how it
                  addresses the problems with the cloud-centric
                  architecture.},
        URL = {http://chess.eecs.berkeley.edu/pubs/1172.html}
    }
    

Posted by Mary Stewart on 15 Apr 2016.
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