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A Highly Reliable Fault-tolerant Airline Reservation System Zoheb Sait (zs29) Sandeep Varma (sv83)
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Platform:ASP.NET Programming Languages:C# & VB Database Server:MS SQL Server 2000 Group Communication System:Spread Software
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Architecture Prototype used: Two Web Servers Two Database Servers Single Load Balancer -- Easily Scaleable
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Failover Database level: Reads from any database server Synchronous writes to all database servers through Spread Transparent Failover Auto-Reconfiguration and synchronization into group on recovery Application Server level: Load Balancer maintains list of available web servers LB does transparent redirect of offline web server load to available web servers
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Processes The database replication is provided by a process named ‘SpreadListener’ a daemon which runs as a windows service ‘HeartBeatMonitor’ provides transparent fail-over to available database servers ‘Load Balancer’ distributes clients requests in round-robin manner, and provides transparent web server fail-over
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Test: 500 users connecting in intervals of 2 sec in 5 users batch at a time Case 1: Replication Disabled v/s Enabled Average Response time was 74ms with replication enabled Average response time was 51ms with replication disabled Performance Tests
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Case 2: LB and Replication v/s No LB and Repl Average Response time was 51ms with load balancing and replication disabled Average Response time dropped to 19ms with load balancing and replication. Performance Tests
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With replication disabled: ~200 errors With replication enabled: ~400 errors Maximum number of concurrent transactions without failure: ~ 60 transactions/per sec without a load balancer ~ 90 concurrent transactions per/sec with a load balancer Application Stress Test
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