2015
DOI: 10.18280/rces.020301
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A Practice Guide of Predicting Resource Consumption in a Web Server

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Cited by 10 publications
(13 citation statements)
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“…The transmission delay of monitoring packets between service components and the AFD (Aging failure Detector) unit are chosen as the basic runtime metrics for aging detection [6]. Yongquan Yan proves that choosing a proper data set is more important than choosing a method for software resource consumption forecasting [7]. Some researchers have suggested rejuvenation based on the time estimation [8].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The transmission delay of monitoring packets between service components and the AFD (Aging failure Detector) unit are chosen as the basic runtime metrics for aging detection [6]. Yongquan Yan proves that choosing a proper data set is more important than choosing a method for software resource consumption forecasting [7]. Some researchers have suggested rejuvenation based on the time estimation [8].…”
Section: Related Workmentioning
confidence: 99%
“…A-GARC algorithm executes crossover function to select the best host for accommodating aged VMs. The algorithm used for genetic algorithm (GA) based task placement or relocation is given as follows: Step- 1 Create VM and install applications on certain host node Step-2 Forecast software ageing probability based on aging indicator metrics Step- 3 Perform Initial mapping of VMs and connected hosts and then use it as initial population for GA Step- 4 Identify the aged hosts using Step-2 so as to avoid any probable SLA violation and conflict during rejuvenation Step- 5 Identify the list of VMs allied with each host node, which are not under migration, so that SLA performance violation could be avoided Step- 6 Perform aged VMs selection and retrieve the list of all VMs ready for migration Step- 7 Sort all VMs on the basis of its aging status Step- 8 Retrieve the complete active hosts possessing minimal workload and resource under-consumption Step-9…”
Section: Genetic Algorithm Based Vm Migrationmentioning
confidence: 99%
“…About the same time the emergence of many multi-objective evolutionary Algorithms conference, the current evolutionary algorithm research has become in recent years, information science [4], artificial intelligence and computer science [5], one of the two major research focuses.…”
Section: Related Workmentioning
confidence: 99%
“…When search engine indexes web pages according to user's request, it has to deal with a lot of web spam pages. So for the web search engines, it is one of the top challenges to combat with web spam [6].…”
Section: Introductionmentioning
confidence: 99%