By a News Reporter-Staff News Editor at Real Estate Weekly News -- A new study on Architecture and Code Optimization is now available. According to news reporting out of Houghton, Michigan, by VerticalNews editors, research stated, "With the evolvement of hardware, 64-bit Central Processing Units (CPUs) and 64-bit Operating Systems (OSs) have dominated the market. This article investigates the performance of virtual memory management of Virtual Machines (VMs) with a large virtual address space in 64-bit OSs, which imposes different pressure on memory virtualization than 32-bit systems."
Our news journalists obtained a quote from the research from Michigan Technological University, "Each of the two conventional memory virtualization approaches, Shadowing Paging (SP) and Hardware-Assisted Paging (HAP), causes different overhead for different applications. Our experiments show that 64-bit applications prefer to run in a VM using SP, while 32-bit applications do not have a uniform preference between SP and HAP. In this article, we trace this inconsistency between 32-bit applications and 64-bit applications to its root cause through a systematic empirical study in Linux systems and discover that the major overhead of SP results from memory management in the 32-bit GNU C library (glibc). We propose enhancements to the existing memory management algorithms, which substantially reduce the overhead of SP. Based on the evaluations using SPEC CPU2006, Parsec 2.1, and cloud benchmarks, our results show that SP, with the improved memory allocators, can compete with HAP in almost all cases, in both 64-bit and 32-bit systems."
According to the news editors, the research concluded: "We conclude that without a significant breakthrough in HAP, researchers should pay more attention to SP, which is more flexible and cost effective."
For more information on this research see: Revisiting Memory Management on Virtualized Environments. ACM Transactions on Architecture and Code Optimization, 2013;10(4):650-669. ACM Transactions on Architecture and Code Optimization can be contacted at: Assoc Computing Machinery, 2 Penn Plaza, Ste 701, New York, NY 10121-0701, USA.
Our news journalists report that additional information may be obtained by contacting X.L. Wang, Michigan Technological University, Dept. of Comp Sci, Houghton, MI 49931, United States. Additional authors for this research include L.M. Weng, Z.L. Wang and Y.W. Luo.
Keywords for this news article include: Houghton, Michigan, United States, North and Central America, Architecture and Code Optimization
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