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Azbayar Demberel

dblp:76/1477 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › resource management
resource management and scheduling
0.112007
Automated and on-demand provisioning of virtual machines for database applications · SIGMOD Conference 2007
Cloud and datacenter computing › cloud service management
service level agreement management
0.112007
Automated and on-demand provisioning of virtual machines for database applications · SIGMOD Conference 2007
Cloud and datacenter computing
utility computing
0.112007
Automated and on-demand provisioning of virtual machines for database applications · SIGMOD Conference 2007
Cloud and datacenter computing › resource provisioning
virtual machine provisioning
0.112007
Automated and on-demand provisioning of virtual machines for database applications · SIGMOD Conference 2007

Methods — techniques the papers use, named apart from their topics

on-demand provisioning · 0.1automated resource allocation · 0.1
YearPublicationVenuePosition
2007 Automated and on-demand provisioning of virtual machines for database applications
abstract
Utility computing delivers compute and storage resources to applications as an 'on-demand utility', much like electricity, from a distributed collection of computing resources. There is great interest in running database applications on utility resources (e.g., Oracle's Grid initiative) due to reduced infrastructure and management costs, higher resource utilization, and the ability to handle sudden load surges. Virtual Machine (VM) technology offers powerful mechanisms to manage a utility resource infrastructure. However, provisioning VMs for applications to meet system performance goals, e.g., to meet service level agreements (SLAs), is an open problem. We are building two systems at Duke - Shirako and NIMO - that collectively address this problem.
Piyush Shivam, Azbayar Demberel, Pradeep Gunda, David Irwin 0001, Laura E. Grit, Aydan R. Yumerefendi, Shivnath Babu, Jeffrey S. Chase
SIGMOD Conference2