Update Propagation of Replicated Data in a Peer-to-Peer Environment

Peer-to-Peer 환경에서 중복된 데이터의 갱신 전파 기법

  • Published : 2006.04.01

Abstract

Peer-to-peer (P2P) systems have become a popular medium through which to share huge amounts of data. On the basis of network topology, P2P systems are divided into three types: centralized, structured distribution, unstructured distribution. Unstructured P2P systems such as Gnutella are novel in the sense that they are extensible and reliable. However, as the number of nodes increases, unstructured P2P systems would suffer from the high complexity of search operations that have to scan the network to find the required data items. Efficient replication of data items can reduce the complexity, but it introduces another problem of maintaining consistency among replicated data items when each data item could be updated. In this paper, we propose a new update propagation algorithm that propagates an updated data item to all of its replica. The proposed algorithm can reduce the message transfer overhead by adopting the notion of timestamp and hybrid push/pull messaging.

P2P(Peer-to-Peer) 시스템은 대용량의 데이터를 공유하는데 유용하며, 네트워크 구조에 따라 중앙 집중형, 구조적 분산형, 그리고 비구조적 분산형으로 분류된다. 이 중 Gnutella와 같은 비구조적 분산형 P2P 시스템은 확장성과 신뢰성 측면에서 장점을 갖지만, 참여하는 노드의 수가 증가함에 따라 데이터를 액세스하는 비용도 증가한다는 문제를 가진다. 데이터 중복을 이용하여 이러한 문제를 해결할 경우 중복된 데이터들의 일관성을 유지하기 위한 기법이 필요하다 본 논문에서는 특정 노드가 데이터를 갱신할 때 중복된 사본을 저장하고 있는 다른 노드에 전파하기 위한 새로운 갱신 전파 알고리즘을 제안한다. 제안한 알고리즘은 타임스탬프와 push/pull 개념을 조합하여 메시지의 전송 오버헤드를 줄일 수 있다는 장점을 갖는다.

Keywords

References

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