In most of the applications in today’s world, data is fetched from the secondary storage i.e. hard disk. The user connects directly to the database for fetching the data. In current approach of cache management and loading, data is loaded from the secondary storage i.e. from the database to the primary storage i.e. cache. In case of any cache failure, entire data has to be reloaded from the database which consumes a lot of time in case the volume of data runs into millions. In the proposed design, data will be fetched from cached data and will be displayed to the end user. In this design of the cache reload we will be persisting the cached objects in some persistent storage as jms topics or flat files. The cache will be rebuilt again from these objects rather than from the database in case of any cache failures. In addition to it, analysis and performance of cache has been shown in this paper considering various parameters.

Coherence cache, hard drive, secondary storage

[1] Kuber Vikram Singh and Inderjeet Yadav, “Improving Data Access Performance Using Coherence Caching in SOA and ADF Application." International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 3 Issue: 5 (2015)
[2] Tamura, E., et al. "High performance memory architectures with dynamic locking cache for real-time systems." Proceedings of the 16th Euromicro Conference on Real-Time Systems, Italy. 2004.
[3] Chaplot, Vivek. "Cache Memory: An Analysis on Performance Issues." International Journal 4, no. 7 (2016).
[4] Mathew, Sharon, and D. M. Jagadeeswari. "Task scheduling and memory partitioning for multiprocessor system-on-chip using low-power L2 cache architecture." Int J Emerg Trends Eng Dev 2, no. 3 (2013): 95-105.
[5] Patel, Ronak. "Implementation of Cache Designs and Efficiency of Cache Memory."
[6] Dimple Juneja and Atul Garg, “Collective Intelligence based framework for load balancing of Web servers”, IJICT, Vol 3 No-1 Jan-2012
[7] Sandeep Sharma, S.Singh and Meenakshi, “Performance analysis of load balancing algorithms”, World academy of science, 2008
[8] Jospeh Kee Yin Ng and Chui Ying Hui, “ Client-Side caching strategies and On demand broadcast Algorithms for Real Time Information”, IEEE , March 2008.
[9] Hossam Hassanein, Zhengang Liang and Patrick Martin, “Performance Comparison of Alternative Web Caching Techniques”, Procceedings of the seventh International Symposium on Computers and Communications, IEEE, 2002.
[10] M. Liu, F. Wang, D. Zeng and L.Yang, “An Overview of world wide Web Caching”, International conference on Systems Man and Cybernetics, IEEE, 2001, pp.3045-3050.