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The Cloud is Not Enough: Saving IoT from the Cloud
Ben Zhang, Nitesh Mor, John Kolb, Douglas S. Chan, Nikhil Goyal, Ken Lutz, Eric Allman, John Wawrzynek, Edward Lee, and John Kubiatowicz, University of California, Berkeley
The Internet of Things (IoT) represents a new class of applications that can benefit from cloud infrastructure. However, the current approach of 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.
In this paper we explore these disadvantages and argue that fundamental properties of the IoT prevent the current approach from scaling. What is missing is a wellarchitected system that extends the functionality of the cloud and provides seamless interplay among the heterogeneous components 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—provides a much better match to 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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