Toward a Global Data Infrastructure

被引：16

作者：

Mor, Nitesh ^{[1
,2
]}

Zhang, Ben ^{[1
]}

Kolb, John ^{[1
]}

Chan, Douglas S. ^{[2
,3
]}

Goyal, Nikhil ^{[4
]}

Sun, Nicholas ^{[4
]}

Lutz, Ken ^{[2
]}

Allman, Eric ^{[2
]}

Wawrzynek, John ^{[1
]}

Lee, Edward A. ^{[1
]}

Kubiatowicz, John ^{[1
]}

机构：

[1] Univ Calif Berkeley, Elect Engn & Comp Sci EECS Dept, Berkeley, CA 94720 USA

[2] Univ Calif Berkeley, Ubiquitous Swarm Lab, Berkeley, CA 94720 USA

[3] Univ Calif Berkeley, Berkeley Wireless Res Ctr, Berkeley, CA 94720 USA

[4] Univ Calif Berkeley, Berkeley, CA 94720 USA

来源：

IEEE INTERNET COMPUTING | 2016年 / 20卷 / 03期

关键词：

and serviceability; availability; cloud computing; cloud infrastructure; cloud storage; distributed systems; information storage; Internet/Web technologies; reliability; ubiquitous computing;

D O I：

10.1109/MIC.2016.51

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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 multiple disadvantages and is unlikely to keep up with the growing speed and diverse needs of IoT devices/applications. Here, the authors argue that fundamental properties of the IoT prevent the current approach from scaling. What's missing is a well-architected system extending cloud functionality and providing seamless interplay among heterogeneous components closer to the edge in the IoT space. To address such problems, they present their distributed platform, the Global Data Plane.

引用

页码：54 / 62

页数：9

共 12 条

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