Towards building performance models for data-intensive workloads in public clouds

R Mian, P Martin, F Zulkernine… - Proceedings of the 4th …, 2013 - dl.acm.org
The cloud computing paradigm provides the" illusion" of infinite resources and, therefore,
becomes a promising candidate for large-scale data-intensive computing. In this paper, we …

[PDF][PDF] Utility functions in autonomic workload management for DBMSs

M Zhang, B Niu, P Martin, W Powley, P Bird - Int. J. Adv. Intell. Syst, 2012 - Citeseer
Utility functions are a popular tool for achieving self-optimization in autonomic computing
systems. Utility functions are used to guide a system in optimizing its own behavior in …

[PDF][PDF] Autonomic workload management for database management systems

M Zhang - 2014 - qspace.library.queensu.ca
In today‟ s database server environments, multiple types of workloads, such as on-line
transaction processing, business intelligence and administrative utilities, can be present in a …

[PDF][PDF] Resource Aware Workload Management for Autonomic Database Management Systems

W Powley, P Martin, N Gruska, P Bird, D Kalmuk - ICAS 2014, 2014 - academia.edu
Workloads running in a multi-purpose database environment often compete for system
resources causing resource contention, which leads to poor performance. Autonomic …

[图书][B] Cost-Effective Resource Configurations for Executing Data-Intensive Workloads in Public Clouds

R Mian - 2013 - search.proquest.com
The rate of data growth in many domains is straining our ability to manage and analyze it.
Consequently, we see the emergence of computing systems that attempt to efficiently …