Type

Journal Article

Authors

Claus Pahl
Lei Xu
Pooyan Jamshidi
Yichuan Zhang
Li Zhang

Subjects

Computer Science

Topics
software engineering quality of service uncertainty qos prediction workload pattern mining cloud scalability web and cloud services resource management

Service workload patterns for QoS-driven cloud resource management (2015)

Abstract Cloud service providers negotiate SLAs for customer services they offer based on the reliability of performance and availability of their lower-level platform infrastructure. While availability management is more mature, performance management is less reliable. In order to support a continuous approach that supports the initial static infrastructure configuration as well as dynamic reconfiguration and auto-scaling, an accurate and efficient solution is required. We propose a prediction technique that combines a workload pattern mining approach with a traditional collaborative filtering solution to meet the accuracy and efficiency requirements. Service workload patterns abstract common infrastructure workloads from monitoring logs and act as a part of a first-stage high-performant configuration mechanism before more complex traditional methods are considered. This enhances current reactive rule-based scalability approaches and basic prediction techniques by a hybrid prediction solution. Uncertainty and noise are additional challenges that emerge in multi-layered, often federated cloud architectures. We specifically add log smoothing combined with a fuzzy logic approach to make the prediction solution more robust in the context of these challenges.
Collections Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Lero: The Irish Software Engineering Research Centre
Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Irish Centre for Cloud Computing and Commerce (IC4)
Ireland -> Dublin City University -> Subject = Computer Science: Software engineering

Full list of authors on original publication

Claus Pahl, Lei Xu, Pooyan Jamshidi, Yichuan Zhang, Li Zhang

Experts in our system

1
Claus Pahl
Dublin City University
Total Publications: 191
 
2
Lei Xu
Dublin City University
Total Publications: 7
 
3
Pooyan Jamshidi
Dublin City University
Total Publications: 26
 
4
Li Zhang
Dublin City University
Total Publications: 10