A New Architecture for Distributed Computing in Named Data Networking

With the development of new technologies such as big data, data mining and artificial intelligence, there is a great demand for distributed computing. Named Data Networking (NDN) is a promising future Internet architecture and is receiving more and more research attentions. In this paper, we propose a new architecture to support distributed computing in NDN. Due to the nature of NDN, the computing nodes can be selected in proximity to consumers/users. In addition, we propose a new privacy protection scheme that allows users to anonymously access network resources, e.g., computing resources. The effectiveness and overhead of this architecture and the devised privacy protection scheme are evaluated. The results demonstrate the feasibility of the proposed architecture.

[1]  Bengt Ahlgren,et al.  A survey of information-centric networking , 2012, IEEE Communications Magazine.

[2]  Gene Tsudik,et al.  AC3N: Anonymous communication in Content-Centric Networking , 2016, 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[3]  Aric Hagberg,et al.  Exploring Network Structure, Dynamics, and Function using NetworkX , 2008, Proceedings of the Python in Science Conference.

[4]  Van Jacobson,et al.  Networking named content , 2009, CoNEXT '09.

[5]  Geyong Min,et al.  Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems , 2017, IEEE Transactions on Big Data.

[6]  Alexander Afanasyev,et al.  On the Evolution of ndnSIM , 2017, Comput. Commun. Rev..

[7]  A. Salman Avestimehr,et al.  A Scalable Framework for Wireless Distributed Computing , 2016, IEEE/ACM Transactions on Networking.

[8]  Bruce M. Maggs,et al.  Less pain, most of the gain: incrementally deployable ICN , 2013, SIGCOMM.

[9]  Yonggang Wen,et al.  Towards name-based trust and security for content-centric network , 2011, 2011 19th IEEE International Conference on Network Protocols.

[10]  Mauro Conti,et al.  Cache Privacy in Named-Data Networking , 2013, 2013 IEEE 33rd International Conference on Distributed Computing Systems.

[11]  Patrick Crowley,et al.  Named data networking , 2014, CCRV.

[12]  Jun Li,et al.  MBP: A Max-Benefit Probability-based caching strategy in Information-Centric Networking , 2015, 2015 IEEE International Conference on Communications (ICC).

[13]  Bin Liu,et al.  Scalable Name Lookup in NDN Using Effective Name Component Encoding , 2012, 2012 IEEE 32nd International Conference on Distributed Computing Systems.

[14]  Van Jacobson,et al.  Schematizing Trust in Named Data Networking , 2015, ICN.

[15]  Shaojie Wang,et al.  Performance improvement for source mobility in named data networking based on global–local FIB updates , 2016, Peer Peer Netw. Appl..

[16]  Jun Li,et al.  Congestion control in named data networking - A survey , 2016, Comput. Commun..

[17]  A. Barabasi,et al.  Scale-free characteristics of random networks: the topology of the world-wide web , 2000 .

[18]  Guoqiang Zhang,et al.  Caching in information centric networking: A survey , 2013, Comput. Networks.