Improving Disk Cache Hit-Ratios Through Cache Partitioning
IEEE Transactions on Computers
Caching multidimensional queries using chunks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Measurement and analysis of LDAP performance
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Middle-tier database caching for e-business
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Form-Based Proxy Caching for Database-Backed Web Sites
Proceedings of the 27th International Conference on Very Large Data Bases
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Active Query Caching for Database Web Servers
Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
Popularity-Aware Greedy Dual-Size Web Proxy Caching Algorithms
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
A structure-based clustering on LDAP directory information
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
A Clustering-Driven LDAP Framework
ACM Transactions on the Web (TWEB)
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In this paper, a dynamic content caching framework is proposed for deploying directory based applications at the edge of the network, closer to the client. The framework consists of a Lightweight Directory Access Protocol (LDAP) directory cache and the offloaded application running at a proxy. The LDAP directory cache is an enhanced LDAP proxy server which stores results and semantic information for search requests (queries) and answers incoming queries which are semantically contained in them. A simplified query containment approach based on the concept of LDAP templates is proposed. Caching algorithms have been proposed which take advantage of referential locality in the access pattern. A generic framework is used to offload the application at the edge and to support prefetching of LDAP queries based on application logic. A real enterprise directory application and real workloads are used to evaluate performance of the caching algorithms. The LDAP directory cache architecture, along with the proposed algorithms can be used to improve performance and scalability of directory based services.