• KUNDE AKHILA
• KASTHURI KAVYA
• THASLEEMA
• RIZWANA

Characterized by the increasing arrival rate of live content, the emergency applications pose a nice challenge: how to circularize large-scale live content to interested users in a very climbable and reliable manner. The publish/subscribe (pub/sub) model i s widely used for information dissemination as a result of its capability of seamlessly a way to the system to large size. However, most event matching services of existing pub/sub systems either lead to low matching throughput once matching an oversized variety of skew subscriptions, or interrupt dissemination when a massive variety of servers fail. The cloud computing provides great opportunities for the needs of complicated 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 atmosphere. To achieve low routing latency and reliable links among servers, we propose a distributed overlay SkipCloud to organize servers of SREM. Through a hybrid space partitioning technique HPartition, large-scale skewed subscriptions amapped into multiple subspaces, which ensures high matching output and provides multiple candidate servers for every event. Moreover, a series of dynamics maintenance mechanisms are extensively studied. To evaluate the performance of SREM, 64 servers are deployed and millions of live content things ar tested in a very CloudStack testbed. Under varied parameter settings, the experimental results demonstrate that the traffic overhead of routing events in SkipCloud is at least 60 % smaller than in Chord overlay, the matching rate in SREM is at least 3.7 times and at most forty.4 times larger than the single-dimensional partitioning technique of BlueDove. Besides, SREM enables the event loss rate to drop back to zero in tens of seconds although an outsized range of servers fail at the same time.

Subscription, Servers, Reliability, Routing, Cloud computing, Clustering algorithm.

"A Scalable and Reliable Matching Service for Content-Based Publish/Subscribe System- A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.50-52, March-2019, Available :http://www.jetir.org/papers/JETIRAR06011.pdf

"A Scalable and Reliable Matching Service for Content-Based Publish/Subscribe System- A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp50-52, March-2019, Available at : http://www.jetir.org/papers/JETIRAR06011.pdf