"JBoss clustering solutions Mission Critical Enterprise" by Mircea Markus @ eLiberatica 2009
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This is a presentation held at eLiberatica 2009. http://www.eliberatica.ro/2009/ One of the biggest events of its kind in Eastern Europe, eLiberatica brings community leaders from around the world to discuss about the hottest topics in FLOSS movement, demonstrating the advantages of adopting, using and developing Open Source and Free Software solutions. The eLiberatica organizational committee together with our speakers and guests, have graciously allowed media representatives and all attendees to photograph, videotape and otherwise record their sessions, on the condition that the photos, videos and recordings are licensed under the Creative Commons Share-Alike 3.0 License.
Transcript of "JBoss clustering solutions Mission Critical Enterprise" by Mircea Markus @ eLiberatica 2009
Professional Open Source™
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JBoss clustering solutions
Mircea Markus, JBoss R&D
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Professional Open Source
Agenda
o Clustering terminology
o JBoss clustering backboneoJGroups
oJBossCache
oPojoCache
o The future – Infinispan
o Q&A
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Clustering terminology
o Scalabilityo I want to handle x times the number of concurrent requests than I can now
o High availabilityo Services are accessible with reasonable (and predictable) response times at any time
o E.g., 99.999 (5 Nines in Telco)
o Load balancingo A way to obtain scalability and better performance by dispatching incoming requests to different
servers
o Session affinity (or stickiness)
o Checking heart beat
o Failovero Process can continue when it is re-directed to a “backup” node because the original one fails
o What is the policy? Round-robin?
o Fault toleranceo A service that guarantees strictly correct behavior despite system failure
o Cost?
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Load Balancing != Fault Tolerance
Load balancing is used for scalability, not for fault tolerance
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Load Balancing != Fault Tolerance
State Replication
Failover and state replication is used for fault tolerance
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Cost of Fault Tolerance
For fault tolerance, state must be available to the failover node
– Shared persistent store
• Caching is a problem; need cache invalidation
– Replicated state
Synchronous vs. Asynchronous Replication
– Reduced application responsiveness vs. chance that failover occurs before state arrives
Analyze the likelihood of failure
– How much fault tolerance is needed?
Limit amount of replicated state
– Entity data can be reconstructed
– Consider keeping short term-conversational state on client
• Form data from a wizard
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JGroups
o Library for reliable multicasting
o Provides
o Fragmentation
o Message retransmission
o Flow control
o Ordering
o Group membership, membership change notification
o LAN or WAN based
o IP multicasting transport default for LAN
o TCP transport default for WAN
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JBossCache
o Replicated in memory data repository
o Either locally or cluster-wide
o Support for eviction of unused elements
o Cache loading/storing to disk to free up memory
o Chaining caches, remote caches using TcpCacheLoader
o Support for JTA transactions
o Listeners and notifications
o JMX manageability
o Multiple locking schemes (MVCC recommanded)
o JGroups as a network stack
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PojoCache
oExtension of core cache
oOptimised for caching large and complex objects with relationships
oObject relationships maintained, even after replication or persistence
oFine-grained replication
oMinimal API
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Where is JBossCache used?
o JBoss Application Server - Clustering HTTP and EJB sessions, JPA entities
o Hibernate - entity caching
o SEAM - caching JSF generated content
o JBoss Portal
o Lucene/Hibernate Search - cluster-wide indexes
o GridGain - data grid component to complement compute grid
o Coming soon:
– Drools - clustering rules engines
– Mobicents – VOIP SIP server clustering
o Many other open source and commercial projects
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Infinispan – the future
o JBossCache is now in maintenance
o simple-to-use Map interface
o Replication
o Total
oDistribution/consistent hashing – virtually linear scalability
o Transaction support enhancement - XAResource
o Data eviction redesign
o JSR-107 compliant
o Benchmark to come! (CacheBenchmarkFramework)
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Professional Open Source
Infinispan - data persistence
o Useful for
o ‘warm’ starts
oSurvive server restarts
oSwap data to disk to avoid OOM
o Several ‘CacheStore’ implementations
oJDBC
oFile system
oAmazon S3 (http://code.google.com/p/jclouds)
oJDBM
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Infinispan – datagrid platform
o Data grid
oUniform sea of memory
oSpread over several servers
o Solution to database limitations
oPhysical limitations
oDB does not scale
o “memory is the new disk, disk is the new tape” - Tim Bray
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Infinispan – async API
o New API in Infinispan, major feature for 4.0
o Hybrid between sync and async calls
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Professional Open Source
New cool things to come!
omemcached server/clients, able to use from Python, Ruby, C++, C#
oQuery API - do remote searches
oMap/Reduce - pass the cache a Callable and have it execute wherever the data exists
oJPA-style API. Easy migration from using a database to using the grid!
oCheck it out here! http://www.jboss.org/infinispan
