Workload management in database management systems: A taxonomy

M Zhang, P Martin, W Powley… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Workload management is the discipline of effectively monitoring, managing and controlling
work flow across computing systems. In particular, workload management in database …

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 …

Assessing the suitability of in-memory databases in an enterprise context

R Meyer, V Banova, A Danciu… - 2015 International …, 2015 - ieeexplore.ieee.org
It is still not fully clear if the increased query execution speed offered by in-memory
databases unfolds its potential benefits over traditional disk-based databases in an …

A framework for autonomic workload management in DBMSs

M Zhang, P Martin, W Powley, P Bird… - it–Information …, 2014 - degruyter.com
In today's database server environments, multiple types of workloads can be present in a
system simultaneously. Workload types may include on-line transaction processing and …

[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] Managing Long-Running Queries Using A Query Progress Indicator

M Hassannezhad - 2014 - qspace.library.queensu.ca
Database management systems (DBMSs) are the essential tools to monitor and manage
data and transactions in databases. Normally a database receives hundreds of requests …

[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 …