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A Scalable and Reliable Matching Service for Content Based Publish/Subscribe Systems
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A Scalable and Reliable Matching Service for Content - Based Publish/Subscribe Systems

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC01


Project Abstract

A SCALABLE AND RELIABLE MATCHING SERVICE FOR CONTENT BASED PUBLISH/SUBSCRIBER’S SYSTEM       

 

ABSTRACT

            In this paper we study about how to distribute large-scale live content to interested users in a scalable and reliable manner. How to distribute large-scale live content to interested users in a scalable and reliable manner. The publish/subscribe (pub/sub) model is widely used for data distribution because of its capacity of seamlessly expanding the system to massive size. However, most event matching services of existing pub/sub systems either lead to low matching throughput when matching a large number of skewed subscriptions, or interrupt distribution when a large number of servers fail. The cloud computing provides great opportunities for the requirements of complex computing and reliable communication. In this paper, we propose SREM, a scalable and reliable event matching service for content-based pub/sub systems in cloud computing environment. To achieve low routing latency and reliable links among servers, we propose a distributed overlay Skip Cloud to organize servers of SREM. Through a hybrid space partitioning technique HPartition, large-scale skewed subscriptions are mapped into multiple subspaces, which ensures high matching throughput and provides multiple candidate servers for each event.

 

 

 

 

 

 

 

 

 

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

In the existing system, publish/subscribe model is widely used for data dissemination because of its capacity of seamlessly expanding the system to massive size.

However, most event matching services of existing pub/sub systems either lead to low matching throughput when matching a large number of skewed subscriptions, or interrupt dissemination when a large number of servers fail. The cloud computing provides great opportunities for the requirements of complex computing and reliable communication.

PROPOSED CONCEPT:-

In this proposing system, to achieve low routing latency and reliable links among servers, we propose a distributed overlay Skip Cloud to organize servers of SREM.

 Through a hybrid space partitioning technique HPartition, large-scale skewed subscriptions are mapped into multiple subspaces, which ensures high matching throughput and provides multiple candidate servers for each event. Moreover, a series of dynamics maintenance mechanisms are extensively studied.

 

EXISTING ALGORITHM:-

Neighbor List Maintenance

 

PROPOSED ALGORITHM:-

 Prefix Routing, Adaptive Selection Algorithm

ALGORITHM DEFNITION:-

 

Each cluster runs Cyclone to keep reliable connectivity among brokers in the cluster. Since each broker falls into a cluster at each level, it maintains m neighbor lists. For a neighbor list at the cluster of level, it samples equal number of neighbors from their corresponding children clusters.

ALGORITHM DEFNITION:-

 

Prefix routing in Skip Cloud is mainly used to efficiently route subscriptions and events to the top clusters. The cluster identifiers are generated by appending one to the corresponding clusters. The relation of identifiers between clusters is the foundation of routing to target clusters.

DRAWBACKS:-

Low matching throughput

Interrupt dissemination when a large number of servers fail.

ADVANTAGES:-

Low routing latency

Reliable links among servers

 

 
 
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