Title : 
Managing Data and Processes in Cloud-Enabled Large-Scale Sensor Networks: State-of-the-Art and Future Research Directions
         
        
            Author : 
Cuzzocrea, Alfredo ; Fortino, Giancarlo ; Rana, Omer
         
        
            Author_Institution : 
ICAR, Univ. of Calabria, Cosenza, Italy
         
        
        
        
        
        
            Abstract : 
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 marry with 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.
         
        
            Keywords : 
cloud computing; data structures; large-scale systems; open systems; scientific information systems; big data paradigm; cloud-enabled large-scale sensor networks; data management; data representation; future research directions; open research issues; scientific field; state-of-the-art analysis; Big data; Cloud computing; Computer architecture; Context; Monitoring; Programming; Wireless sensor networks; Big Data; Cloud Computing; Cloud-Enabled Large-Scale Sensor Networks;
         
        
        
        
            Conference_Titel : 
Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on
         
        
            Conference_Location : 
Delft
         
        
            Print_ISBN : 
978-1-4673-6465-2
         
        
        
            DOI : 
10.1109/CCGrid.2013.116