Classifying Behavior Patterns of User Nodes
- Classifying Behavior Patterns of User Nodes
- 송규원; 김수현
- 클라우드; P2P; Behavior patttern; Cloud computing; Scalability; availability; peer-to-peer
- Issue Date
- International Conference on Cloud Computing and Social Networking 2012 (ICCCSN 2012)
- , 1-4
- To increase the scalability of cloud computing,
utilizing resources of individual users has been widely adopted
especially in video streaming services. Accurately predicting
behavior of user nodes is critical to achieve a high efficiency in
such a peer-assisted system. Though there have been many
measurement studies on peer-to-peer systems, most of them have
focused on the design and characterization of the systems. Thus
the behavior patterns of individual nodes have seldom been
studied. In this paper, we present new techniques for classifying
behavior of nodes in terms of availability and compare them with
naive manual classification. We apply a k-means clustering
algorithm with various classification criteria on real trace data of
a peer-to-peer system. Our analysis shows that there are three
dominant time zones with respect to the availability peak time.
Our study will give a useful hint to a system designer in handling
churns more efficiently based on the peer classification.
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- KIST Publication > Conference Paper
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