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Optimization of virtual machines performance using fuzzy hashing and genetic algorithm-based memory deduplication of static pages
Published in Automatika, 2023
N. Jagadeeswari, V. Mohanraj, Y. Suresh, J. Senthilkumar
Sioh Lee et al. (2017) implemented an advanced KSM approach for Cloud computing [25]. The authors presented a page grouping approach to decrease page comparisons in prior work, but it demands specific monitoring hardware. XLH improved memory page sharing by including information about guest virtual machine I/O operation. However, XLH’s CPU overhead remains considerable, equivalent to that of the normal KSM. To CPU cycles. Based on the findings of the simulation, a KSM advanced for cloud computing (AKC) that uses fewer cycles of CPU than the default KSM was developed. Checksums based on the RB-tree structure were used to decrease the number of page comparisons. AKC also uses a hardware-accelerated CRC32 hash algorithm to reduce page checksum overhead.