Authorisation infrastructure for on-demand network resource provisioning

2008 ◽  
Author(s):  
Yuri Demchenko ◽  
Alfred Wan ◽  
Mihai Cristea ◽  
Cees de Laat
Keyword(s):  
Resource Provisioning ◽  
Network Resource ◽  
On Demand ◽  
Network Resource Provisioning

scholarly journals StorNet: Integrated Dynamic Storage and Network Resource Provisioning and Management for Automated Data Transfers

2011 ◽  
Vol 331 (1) ◽  
pp. 012002 ◽  
Author(s):  
Junmin Gu ◽  
Dimitrios Katramatos ◽  
Xin Liu ◽  
Vijaya Natarajan ◽  
Arie Shoshani ◽  
...  
Keyword(s):  
Resource Provisioning ◽  
Network Resource ◽  
Data Transfers ◽  
Dynamic Storage ◽  
Network Resource Provisioning

scholarly journals Methods of Network Resource Provisioning for the Future Internet IIP Initiative

2015 ◽  
Vol 61 (2) ◽  
pp. 235-246 ◽  
Author(s):  
Janusz Gozdecki ◽  
Mirosław Kantor ◽  
Krzysztof Wajda ◽  
Jacek Rak
Keyword(s):  
Future Internet ◽  
Resource Provisioning ◽  
Network Resource ◽  
The Future ◽  
Network Resource Provisioning

scholarly journals Scalability and Performance Management of Internet Applications in the Cloud

2013 ◽  
pp. 434-464
Author(s):  
Wesam Dawoud ◽  
Ibrahim Takouna ◽  
Christoph Meinel
Keyword(s):  
Performance Management ◽  
Resource Provisioning ◽  
Infrastructure As A Service ◽  
Internet Applications ◽  
Application Performance ◽  
Total Cost ◽  
On Demand ◽  
And Performance ◽  
The Impact

Elasticity and on-demand are significant characteristics that attract many customers to host their Internet applications in the cloud. They allow quick reacting to changing application needs by adding or releasing resources responding to the actual rather than to the projected demand. Nevertheless, neglecting the overhead of acquiring resources, which mainly is attributed to networking overhead, can result in periods of under-provisioning, leading to degrading the application performance. In this chapter, the authors study the possibility of mitigating the impact of resource provisioning overhead. They direct the study to an Infrastructure as a Service (IaaS) provisioning model where application scalability is the customer’s responsibility. The research shows that understanding the application utilization models and a proper tuning of the scalability parameters can optimize the total cost and mitigate the impact of the overhead of acquiring resources on-demand.

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