Demo Data from VLDB 2026 / reviewers in the wild / expert
Azbayar Demberel
dblp:76/1477
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › resource management
resource management and scheduling |
0.1 | 1 | 2007 | 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 |
0.1 | 1 | 2007 | Automated and on-demand provisioning of virtual machines for database applications · SIGMOD Conference 2007 |
Cloud and datacenter computing
utility computing |
0.1 | 1 | 2007 | Automated and on-demand provisioning of virtual machines for database applications · SIGMOD Conference 2007 |
Cloud and datacenter computing › resource provisioning
virtual machine provisioning |
0.1 | 1 | 2007 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Automated and on-demand provisioning of virtual machines for database applicationsabstractUtility 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 Conference | 2 |