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Predictive Analysis For Cloud Infrastructure Metrics, Paridhi Agrawal
Predictive Analysis For Cloud Infrastructure Metrics, Paridhi Agrawal
Master's Projects
In a cloud computing environment, enterprises have the flexibility to request resources according to their application demands. This elastic feature of cloud computing makes it an attractive option for enterprises to host their applications on the cloud. Cloud providers usually exploit this elasticity by auto-scaling the application resources for quality assurance. However, there is a setup-time delay that may take minutes between the demand for a new resource and it being prepared for utilization. This causes the static resource provisioning techniques, which request allocation of a new resource only when the application breaches a specific threshold, to be slow and …
System Support For Managing Risk In Cloud Computing Platforms, Supreeth Shastri
System Support For Managing Risk In Cloud Computing Platforms, Supreeth Shastri
Doctoral Dissertations
Cloud platforms sell computing to applications for a price. However, by precisely defining and controlling the service-level characteristics of cloud servers, they expose applications to a number of implicit risks throughout the application’s lifecycle. For example, user’s request for a server may be denied, leading to rejection risk; an allocated resource may be withdrawn, resulting in revocation risk; an acquired cloud server’s price may rise relative to others, causing price risk; a cloud server’s performance may vary due to external factors, triggering valuation risk. Though these risks are implicit, the costs they bear on the applications are not. While some …
Resource Provisioning In Large-Scale Self-Organizing Distributed Systems, M. Brent Reynolds
Resource Provisioning In Large-Scale Self-Organizing Distributed Systems, M. Brent Reynolds
Theses and Dissertations
This dissertation researches the mathematical translation of resource provisioning policy into mathematical terms and parameters to solve the on-line service placement problem. A norm called the Provisioning Norm is introduced. Theorems presented in the work show the Provisioning Norm utility function and greedy, random, local search effectively and efficiently solve the on-line problem. Caching of placements is shown to reduce the cost of change but does not improve response time performance. The use of feedback control theory is shown to be effective at significantly improving performance but increases the cost of change. The theoretical results are verified using a decentralized, …