Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item Software aging trend analysis of server virtualized system(IEEE Computer Society, 2014) Mohan, B.R.; Guddeti, G.It is well known that software systems suffer from performance degradation due to resource shrinking and this phenomenon is referred to as Software Aging. Long running software systems tend to show degradation in performance due to exhaustion of operating systems resources, data corruption and numerical error accumulation. The primary objective of the paper is to establish the aging trend in the server virtualized system. It establishes the aging trend by showing that the average response time decreases while total available physical memory decreases. Linear regression model has been used to study the aging trend. © 2014 IEEE.Item The effect of software aging on power usage(Institute of Electrical and Electronics Engineers Inc., 2015) Mohan, R.; Guddeti, G.This paper tries to establish relation between the power usage and software aging. Software aging is the performance degradation of long running software due to shrinking in physical memory, increase in swap read and write rate and increase in CPU utilization. This paper tries to establish the relation between the Software aging and the power usage. Experimental results demonstrate that CPU utilization increases over a period of time, when the work load remains the constant. Linear Regression analysis is used for establishing this trend. © 2015 IEEE.Item Analysis of free physical memory in server virtualized system(Institute of Electrical and Electronics Engineers Inc., 2015) Mohan, R.; Guddeti, G.Degradation of the performance is the part of any long running software systems. This is due to memory leakage, unreleased file descriptors, round off errors and disk and memory fragmentation. It has been found that the memory leakage is the primary cause of any software performance degradation. In order to predict the software performance degradation, the analysis of the resource usage is essential. Here the free physical memory of a server virtualised system is analysed using time series analysis. © 2015 IEEE.