Towards building performance models for data-intensive workloads in public clouds
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 …
becomes a promising candidate for large-scale data-intensive computing. In this paper, we …
[PDF][PDF] Utility functions in autonomic workload management for DBMSs
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 …
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 …
transaction processing, business intelligence and administrative utilities, can be present in a …
[PDF][PDF] Resource Aware Workload Management for Autonomic Database Management Systems
Workloads running in a multi-purpose database environment often compete for system
resources causing resource contention, which leads to poor performance. Autonomic …
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 …
Consequently, we see the emergence of computing systems that attempt to efficiently …