A note on the influence of program loading on the page fault rate

1977 ◽  
Vol 8 (4) ◽  
pp. 359-370 ◽  
Author(s):  
Michel Parent ◽  
Dominique Potier
Keyword(s):  
Page Fault ◽  
Program Loading

Study of Page Replacement Algorithm Based on Experiment

2014 ◽  
Vol 530-531 ◽  
pp. 895-898
Author(s):  
Hong Wang
Keyword(s):  
Virtual Memory ◽  
Page Fault ◽  
Replacement Algorithm ◽  
Memory Control

The page replacement algorithm is an very important step which realize virtual memory control. A good page replacement algorithm can reduce the fault frequency when program executing, reduce the number of I/O, and then increase the systems efficiency effectively. In this paper, we studied the principle of various of page replacement algorithm, designed an program which simulated the procession and result of page replacement algorithm, in this program, we assume a few condition, record the experiment results. According to these data, we compared and analyzed the page fault and page fault frequency of different algorithm, and compare their performance.

Effect of rest periods on the endurance of notched duralumin specimens under program loading

1977 ◽  
Vol 9 (7) ◽  
pp. 846-848
Author(s):  
N. A. Vishnyakov ◽  
G. D. Gringauz ◽  
G. F. Rudzei
Keyword(s):  
Program Loading ◽  
Rest Periods

A buffer based page replacement algorithm to reduce page fault

2020 ◽  
Vol 33 ◽  
pp. 4557-4560
Author(s):  
S. Muthusundari ◽  
M.A. Berlin ◽  
J. Geetha Priya ◽  
K. Balasaranya
Keyword(s):  
Page Fault ◽  
Replacement Algorithm

scholarly journals TSMC: A Novel Approach for Live Virtual Machine Migration

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Jiaxing Song ◽  
Weidong Liu ◽  
Feiran Yin ◽  
Chao Gao
Keyword(s):  
Virtual Machine ◽  
Power Saving ◽  
Live Migration ◽  
Virtual Machine Migration ◽  
Page Fault ◽  
Novel Approach ◽  
Virtualization Technology ◽  
Management Method ◽  
Virtual Resources ◽  
Infrastructure Services

Cloud computing attracted more and more attention in recent years, and virtualization technology is the key point for deploying infrastructure services in cloud environment. It allows application isolation and facilitates server consolidation, load balancing, fault management, and power saving. Live virtual machine migration can effectively relocate virtual resources and it has become an important management method in clusters and data centers. Existing precopy live migration approach has to iteratively copy redundant memory pages; another postcopy live migration approach would lead to a lot of page faults and application degradation. In this paper, we present a novel approach called TSMC (three-stage memory copy) for live virtual machine migration. In TSMC, memory pages only need to be transmitted twice at most and page fault just occurred in small part of dirty pages. We implement it in Xen and compare it with Xen’s original precopy approach. The experimental results under various memory workloads show that TSMC approach can significantly reduce the cumulative migration time and total pages transferred and achieve better network IO performance in the same time.

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