Performance analysis and simulation of cloud resource management policies allows cloud providers to improve their QOS. QOS denotes the level of performance, reliability and availability offered by the web application and by the platform infrastructure that hosted it. The modeling of workload is difficult due to the unavailability of trace logs for analysis. A web application model has been suggested to capture different behavior of user profile. The amount of the resource consumed during the process is known as resource usage. A resource usage model shall be created and validated to choose the best estimated policy among Generalized Lambda distribution & Generalized Extreme Value distribution. The validation is carried out by simulating the...
Workload modeling in public cloud environments is challenging due to reasons such as infrastructure ...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June...
Performance analysis and simulation of cloud resource management policies allows cloud providers to ...
Workload modeling enables performance analysis and simulation of cloud resource management policies,...
Understanding the characteristics and patterns of workloads within a Cloud computing environment is ...
The evaluation of resource management policies in cloud environments is challenging since clouds are...
Workload modeling in public cloud environments is challenging due to reasons such as infrastructure ...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Analyzing behavioral patterns of workloads is critical to understanding Cloud computing environments...
Workload modeling in public cloud environments is challenging due to reasons such as infrastructure ...
Workload modeling in public cloud environments is challenging due to reasons such as infrastructure ...
Workload modeling in public cloud environments is challenging due to reasons such as infrastructure ...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June...
Performance analysis and simulation of cloud resource management policies allows cloud providers to ...
Workload modeling enables performance analysis and simulation of cloud resource management policies,...
Understanding the characteristics and patterns of workloads within a Cloud computing environment is ...
The evaluation of resource management policies in cloud environments is challenging since clouds are...
Workload modeling in public cloud environments is challenging due to reasons such as infrastructure ...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Analyzing behavioral patterns of workloads is critical to understanding Cloud computing environments...
Workload modeling in public cloud environments is challenging due to reasons such as infrastructure ...
Workload modeling in public cloud environments is challenging due to reasons such as infrastructure ...
Workload modeling in public cloud environments is challenging due to reasons such as infrastructure ...
Cloud computing is a computational model in which resource providers can offer on-demand services to...
Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June...