Abstract
Application servers rely on caching and clustering to achieve high performance and scalability. While queries benefit from middle-tier caching, updates introduce a distributed cache consistency problem. The standard approaches to this problem, cache invalidation and cache replication, either do not guarantee full cache consistency or impose a performance penalty.
This paper proposes a novel approach: Freshness-Aware Caching (FAC). FAC tracks the freshness of cached data and allows clients to explicitly trade freshness-of-data for response times. We have implemented FAC in an open-source application server and compare its performance to cache invalidation and cache replication. The evaluation shows that both cache invalidation and FAC provide better update scalability than cache replication. We also show that FAC can provide a significant better read performance than cache invalidation in the case of frequent updates.
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References
BEA: BEA WebLogic Server 10.0 Documentation (2007), http://edocs.bea.com
Stark, S.: JBoss Administration and Development. JBoss Group, 3rd edn. (2003)
Wu, H., Kemme, B., Maverick, V.: Eager replication for stateful J2EE servers. In: Proceedings of DOA2004, Cyprus, pp. 1376–1394 (October 25-29, 2004)
JBoss Cache: A replicated transactional cache, http://labs.jboss.com/jbosscache/
SwarmCache: Cluster-aware caching for java, http://swarmcache.sourceforge.net
ehcache: ehcache project (2007), http://ehcache.sourceforge.net
Progress: DataXtend CE (2007), http://www.progress.com/dataxtend/
Hsu, C.C.: Distributed cache replication framework for middle-tier data caching. Master’s thesis, University of Sydney, School of IT, Australia (2004)
Luo, Q., Krishnamurthy, S., Mohan, C., Pirahesh, H., Woo, H., Lindsay, B., Naughton, J.: Middle-tier database caching for e-business. In: SIGMOD (2002)
Altinel, M., Bornhövd, C., Krishnamurthy, S., Mohan, C., Pirahesh, H., Reinwald,: Cache tables: Paving the way for an adaptive database cache. In: VLDB (2003)
Larson, P.Å., Goldstein, J., Zhou, J.: MTCache: Transparent mid-tier database caching in SQL Server. In: Proceedings of ICDE2004, pp. 177–189. Boston, USA (2004)
Amza, C., Soundararajan, G., Cecchet, E.: Transparent caching with strong consistency in dynamic content web sites. In: Proceedings of ICS 2005, pp. 264–273 (2005)
Guo, H., Larson, P.Å., Ramakrishnan, R., Goldstein, J.: Relaxed currency and consistency: How to say ’good enough’ in SQL. In: SIGMOD 2004, pp. 815–826 (2004)
TimesTen Team: Mid-tier caching: The TimesTen approach. In: Proceedings of ACM SIGMOD 2002, pp. 588–593 (June 3-6, 2002)
Oracle: Oracle 9i application server: Database cache. White paper (2001)
Röhm, U., Böhm, K., Schek, H.J., Schuldt, H.: FAS – a freshness-sensitive coordination middleware for a cluster of OLAP components. In: VLDB, pp. 754–765 (2002)
Bernstein, P., Fekete, A., Guo, H., Ramakrishnan, R., Tamma, P.: Relaxed-currency serializability for middle-tier caching & replication. In: SIGMOD (2006)
JBoss Group: JBoss (2007), http://www.jboss.org
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Röhm, U., Schmidt, S. (2007). Freshness-Aware Caching in a Cluster of J2EE Application Servers. In: Benatallah, B., Casati, F., Georgakopoulos, D., Bartolini, C., Sadiq, W., Godart, C. (eds) Web Information Systems Engineering – WISE 2007. WISE 2007. Lecture Notes in Computer Science, vol 4831. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76993-4_7
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DOI: https://doi.org/10.1007/978-3-540-76993-4_7
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