Principal Investigators :
- Dr. Patrick Valduriez, Zenith project-team, Inria Sophia Antipolis Méditerranée
- Prof. Divyakant Agrawal, University of California Santa Barbara
Research objectives:
With the advent of the Internet and the World-wide-web, there is an emergent need to develop user applications that access data and resources stored in the network. In order to facilitate the development of network-centric applications, new computational paradigms are needed that are scalable, elastic, available, and fault-tolerant. During the past decades two dominant paradigms referred to as Peer-to-Peer (P2P) Computing and Cloud Computing have become widely prevalent as computational paradigms for distributed applications. The two paradigms in many ways are complementary and provide different trade-offs. For instance, the cost for computing and storage is almost free in P2P but it suffers from the challenges of churn and low reliability of user machines. Cloud computing, on the other hand significantly simplifies the task of system administration in the data-center but requires a very large investment in building large-scale data-centers.
BigdataNet develops a hybrid platform that combines the two paradigms and leverages computing, storage, and network resources both in the data-centers (i.e., the cloud) as well as at the edges of the network (i.e., the peer or user machines). The team thus explores the suitability of this hybrid model for big-data applications such as scientific applications, social networks, and massive data analytics. The research challenges that need to be addressed are the massive scale of both systems and data, complexity of the overall architecture, and heterogeneity of overlay network.
Scientific achievements:
Contributions relate to: P2P/cloud architecture, Decentralized recommendation for big data sharing, Scalable query processing with big data, and Privacy-Preserving Database Outsourcing.
Publications and Awards:
- 3 Journal articles
- 7 Conference papers
Selected publication:
M. Servajean, R. Akbarinia E. Pacitti, S. Amer-Yahia. Profile Diversity for Query Processing using User Recommendations. Information Systems, (48): 44-63, 2015.
For more information about the BIGDATA research project, visit the website here!
