Efficient randomized search algorithms in unstructured Peer-to-Peer networks (original) (raw)
Related papers
Search with probabilistic guarantees in unstructured peer-to-peer networks
Peer-to-Peer …, 2005
Search is a fundamental service in peer-to-peer (P2P) networks. However, despite numerous research efforts, ef-ficient algorithms for guaranteed location of shared con-tent in unstructured P2P networks are yet to be devised. In this paper, we present a simple but highly effective ...
Computer Networks, 2011
Peer-to-Peer (P2P) networks have been developed for resource sharing for years. In a P2P network, the first and foremost challenge is resource searching to find out target objects (i.e., data, file, etc.) scattered in the P2P network. The searching efficiency highly depends on the popularity of the target object. However, the popularity is too variable to be estimated since a P2P network is dynamic. A good searching scheme in such a variable environment with a better trade-off among long searching time, a large amount of duplicated query messages and a low successful search hit rate is hard to be determined. Many efficient methods have been proposed to resolve this issue. Most of them may only be beneficial for searching a popular object. In this paper, we propose a Cloning Random Walker assisted by Dominating Set (CloneRW + DS) method to adaptively locate the target object no matter the target object is popular or unpopular in a P2P network. Our theoretical analysis shows that our proposed method consumes a moderate amount of query messages between the message amount in the Random Walker method and the one in the flooding method. Additionally, our simulation results also depict that our proposed scheme can perform a better trade-off among the search delay, message overhead per hit and success rate while conducting resource searching in a P2P network.
Replication strategies in unstructured peer-to-peer networks
ACM SIGCOMM Computer Communication Review, 2002
The Peer-to-Peer (P2P) architectures that are most prevalent in today's Internet are decentralized and unstructured. Search is blind in that it is independent of the query and is thus not more effective than probing randomly chosen peers. One technique to improve the effectiveness of blind search is to proactively replicate data.
Survey of Search and Replication Schemes in Unstructured P2P Networks
Network Protocols and Algorithms, 2010
P2P computing lifts taxing issues in various areas of computer science. The largely used decentralized unstructured P2P systems are ad hoc in nature and present a number of research challenges. In this paper, we provide a comprehensive theoretical survey of various state-of-the-art search and replication schemes in unstructured P2P networks for file-sharing applications. The classifications of search and replication techniques and their advantages and disadvantages are briefly explained. Finally, the various issues on searching and replication for unstructured P2P networks are discussed.
Storage Algorithm for Unstructured Peer-to-Peer Networks
Advanced Calculation and Analysis, 2017
In this paper, we consider the problem of storage and search in peer-to-peer networks. It is well known that all storage systems try to meet two conflict goals, increasing the success rate within reasonable response time and decreasing the worst case message complexity. In this result, we focus on designing an efficient algorithms for storage and search in unstructured peer-to-peer networks. In the storage, we present an algorithm for storage in which we try to maintain a reasonable number of copies of each file such that these copies can be reached in almost the same time from all nodes. In the search algorithm, we initiate a reasonable number of messages from the node that requests the file such that they cover random parts of the system. We evaluate our algorithm by applying it to random networks with various sizes.
A Scalable Search Algorithm for Unstructured Peer-to-Peer Networks
Pdpta, 2006
Scalability in a peer-to-peer network is a challenging problem. Unstructured peer-to-peer networks inherently lack scalability, and structured networks are inefficient for a high churn rate. In this paper, we present a scalable search algorithm for a decentralized unstructured peer-to-peer network using a method to dynamically determine the number of nodes to forward a query to at once. The decision is based on the degree to which each neighbor has contributed to previous successful searches. The algorithm automatically creates a spanning graph of the high traffic links. Once a stable spanning graph is created, a query tends to travel along the edges of the spanning graph. This way, the number of hops required for a search is roughly bound by the diameter of the spanning graph. The simulation shows that our algorithm demonstrates significantly better performance in terms of the number of messages generated and hops required for a search over other popular algorithms.
Search and replication in unstructured peer-to-peer networks
2002
Decentralized and unstructured peer-to-peer networks such as Gnutella are attractive for certain applications because they require no centralized directories and no precise control over network topology or data placement. However, the flooding-based query algorithm used in Gnutella does not scale; each query generates a large amount of traffic and large systems quickly become overwhelmed by the queryinduced load. This paper explores, through simulation, various alternatives to Gnutella's query algorithm, data replication strategy, and network topology. We propose a query algorithm based on multiple random walks that resolves queries almost as quickly as Gnutella's flooding method while reducing the network traffic by two orders of magnitude in many cases. We also present simulation results on a distributed replication strategy proposed in . Finally, we find that among the various network topologies we consider, uniform random graphs yield the best performance. jaded observers the explosive increase in Peer-to-Peer (P2P) network usage has been astounding. Within a few months of Napster's introduction in 1999 the system had spread widely, and recent measurement data suggests that P2P applications are having a very significant and rapidly growing impact on Internet traffic . It is important to study the performance and scalability of these P2P networks.
Survey of Various Search Mechanisms in Unstructured Peer-to-Peer Networks
International Journal of Computer Applications, 2013
Peer-to-Peer (P2P) [1] are widely used for file sharing purposes. This type of usage provides decentralized solutions over centralized complex architecture. Peer-to-Peer networks are gaining attention from both the scientific perspective as well as the large Internet community. Popular applications utilizing this new technology offer many attractive features to a growing number of users. P2P is an architecture which is all-together a different class of applications that use the concept of distributed resources to perform an important crucial function in a decentralized manner. The popularity and bandwidth consumption attributed to current Peer-to-Peer filesharing applications makes the operation of these distributed systems very important for the Internet community. Efficiently discovering the queried resource is the initial and most important step in establishing an efficient peer-to-peer communication. Here, we will be describing and analyzing the performances of some existing search mechanisms deployed for the peer discovery and the content look up.
Storage and search in dynamic peer-to-peer networks
Proceedings of the 25th ACM symposium on Parallelism in algorithms and architectures - SPAA '13, 2013
We study robust and efficient distributed algorithms for searching, storing, and maintaining data in dynamic Peer-to-Peer (P2P) networks. P2P networks are highly dynamic networks that experience heavy node churn (i.e., nodes join and leave the network continuously over time). Our goal is to guarantee, despite high node churn rate, that a large number of nodes in the network can store, retrieve, and maintain a large number of data items. Our main contributions are fast randomized distributed algorithms that guarantee the above with high probability even under high adversarial churn. In particular, we present the following main results: