Automatic database management system tuning through large-scale machine learning
Database management system (DBMS) configuration tuning is an essential aspect of any
data-intensive application effort. But this is historically a difficult task because DBMSs have …
data-intensive application effort. But this is historically a difficult task because DBMSs have …
[PDF][PDF] Self-Driving Database Management Systems.
In the last two decades, both researchers and vendors have built advisory tools to assist
database administrators (DBAs) in various aspects of system tuning and physical design …
database administrators (DBAs) in various aspects of system tuning and physical design …
Relational cloud: A database-as-a-service for the cloud
This paper introduces a new transactional “database-as-a-service”(DBaaS) called
Relational Cloud. A DBaaS promises to move much of the operational burden of …
Relational Cloud. A DBaaS promises to move much of the operational burden of …
Tuning database configuration parameters with ituned
Database systems have a large number of configuration parameters that control memory
distribution, I/O optimization, costing of query plans, parallelism, many aspects of logging …
distribution, I/O optimization, costing of query plans, parallelism, many aspects of logging …
VCONF: a reinforcement learning approach to virtual machines auto-configuration
Virtual machine (VM) technology enables multiple VMs to share resources on the same host.
Resources allocated to the VMs should be re-configured dynamically in response to the …
Resources allocated to the VMs should be re-configured dynamically in response to the …
Predicting query execution time: Are optimizer cost models really unusable?
Predicting query execution time is useful in many database management issues including
admission control, query scheduling, progress monitoring, and system sizing. Recently the …
admission control, query scheduling, progress monitoring, and system sizing. Recently the …
Green cloud computing and environmental sustainability
Cloud computing is a highly scalable and cost‐effective infrastructure for running HPC,
enterprise and Web applications. However, the growing demand of Cloud infrastructure has …
enterprise and Web applications. However, the growing demand of Cloud infrastructure has …
Zephyr: live migration in shared nothing databases for elastic cloud platforms
Multitenant data infrastructures for large cloud platforms hosting hundreds of thousands of
applications face the challenge of serving applications characterized by small data footprint …
applications face the challenge of serving applications characterized by small data footprint …
Cloud-hosted databases: technologies, challenges and opportunities
S Sakr - Cluster Computing, 2014 - Springer
One of the main advantages of the cloud computing paradigm is that it simplifies the time-
consuming processes of hardware provisioning, hardware purchasing and software …
consuming processes of hardware provisioning, hardware purchasing and software …
Dejavu: accelerating resource allocation in virtualized environments
N Vasić, D Novaković, S Miučin, D Kostić… - Proceedings of the …, 2012 - dl.acm.org
Effective resource management of virtualized environments is a challenging task. State-of-
the-art management systems either rely on analytical models or evaluate resource …
the-art management systems either rely on analytical models or evaluate resource …