Managing Data and Processes in Cloud-Enabled Large-Scale Sensor Networks: State-Of-The-Art and Future Research Directions

被引：47
|
作者：
Cuzzocrea, Alfredo [1 ,2 ]
Fortino, Giancarlo [3 ]
Rana, Omer [4 ]
机构：
[1] CNR, ICAR, Cosenza, Italy
[2] Univ Calabria, Cosenza, Italy
[3] Univ Calabria, DIMES, Cosenza, Italy
[4] Cardiff Univ, Sch Comp Sci, Cardiff CF24 3AA, Wales
来源：
PROCEEDINGS OF THE 2013 13TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID 2013) | 2013年
关键词：
Cloud Computing; Big Data; Cloud-Enabled Large-Scale Sensor Networks;
D O I：
10.1109/CCGrid.2013.116
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we focus on state-of-the-art analysis and open research issues in the context of Cloud-enabled large-scale sensor networks, which naturally complement the emerging Big Data paradigm. We particularly address how data and processes are represented and managed in such infrastructures, by highlighting benefits and limitations. We also provide rigorous and critical discussion on actual trends and solutions available in literature, along with future research directions in this scientific field.
引用
收藏
页码：583 / 588
页数：6
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