Cache Management Design Pattern

• Cache Management in ASP.NET – The Code Project – ASP.NET – Is this supposed to be dry and boring, boring and geeky ? Cache Management in ASP.NET – The Code Project – ASP.NET
• Cache SOAP services on the client side – Java World – SOAP (Simple Object Access Protocol) services are progressing from lab prototypes to real-world applications. If, while developing distributed Java applications that interact with SOAP services, you experience network-traffic overhead issues from repeated SOAP HTTP calls, read on. In this article, Ozakil Azim and Araf Karsh Hamid describe how to create transparent, client-side caching for SOAP services using the Business Delegate and Cache Management design patterns. Cache SOAP services on the client side – Java World
• Design Pattern Synopses – Synopses of design patterns from the book Patterns in Java Volume 1: A Catalog of Reusable Design Patterns by Mark Grand Illustrated with UML Design Pattern Synopses
• IngentaConnect A Framework for Cache Management for Mobile Databases: Design and… – Originally published information on IngentaConnect A Framework for Cache Management for Mobile Databases: Design and…
• Lock-free cache management – US Patent 6904456 – One of the Classic on Lock-free cache management – US Patent 6904456
• P-Jigsaw: Extending Jigsaw with Rules Assisted Cache Management – A final requirement is that the solutions in the areas must coexist – P-Jigsaw: Extending Jigsaw with Rules Assisted Cache Management
• Pattern Summaries: Cache Management – There’s usually a point, at least an intersection of Bullwinkleish meaning with something like Pattern Summaries: Cache Management
• Second-Level Buffer Cache Management – Buffer caches are commonly used in servers to reduce the number of slow disk accesses or network messages. These buffer caches form a multilevel buffer cache hierarchy. In such a hierarchy, second-level buffer caches have different access patterns from first-level buffer caches because accesses to a second-level are actually misses from a first-level. Therefore, commonly used cache management algorithms such as the Least Recently Used (LRU) replacement algorithm that work well for single-level buffer caches may not work well for second-level. This paper investigates multiple approaches to effectively manage second-level buffer caches. In particular, it reports our research results in 1) second-level buffer cache access pattern characterization, 2) a new local algorithm called Multi-Queue (MQ) that performs better than nine tested alternative algorithms for second-level buffer caches, 3) a set of global algorithms that manage a multilevel buffer cache hierarchy globally and significantly improve second-level buffer cache hit ratios over corresponding local algorithms, and 4) implementation and evaluation of these algorithms in a real storage system connected with commercial database servers (Microsoft SQL Server and Oracle) running industrial-strength online transaction processing benchmarks. Second-Level Buffer Cache Management

Cache Management Design Pattern

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