VLDB 2026 Research / reviewers in the wild / expert
Sofia Kyriakopoulou
dblp:75/9917
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1Databases, 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% | |
| Computer networks
1 paper |
Network optimization and economics · 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
cloud caching |
0.1 | 1 | 2011 | Optimal Service Pricing for a Cloud Cache · IEEE Trans. Knowl. Data Eng. 2011 |
Cloud and datacenter computing › resource management
cloud resource management |
0.1 | 1 | 2011 | Optimal Service Pricing for a Cloud Cache · IEEE Trans. Knowl. Data Eng. 2011 |
Cloud and datacenter computing › cloud economics
service pricing |
0.1 | 1 | 2011 | Optimal Service Pricing for a Cloud Cache · IEEE Trans. Knowl. Data Eng. 2011 |
Network optimization and economics › pricing
dynamic pricing |
0.0 | 1 | 2011 | Optimal Service Pricing for a Cloud Cache · IEEE Trans. Knowl. Data Eng. 2011 |
Methods — techniques the papers use, named apart from their topics
price-demand modeling · 0.2correlation estimation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | The integration of an RE method and AHP: A pilot study in a large Swiss bankabstractThis paper reports on a pilot study of the integration between the Systemic Enterprise Architecture Method (SEAM) and the Analytic Hierarchy Process (AHP) in a requirements engineering project. The objective of the project, conducted in one of the major banks in Switzerland, was to select a common SOA tool that could satisfy the needs of two of the bank's main business units, investment and private banking. SEAM provided help in identifying stakeholders, eliciting their requirements, and analyzing these requirements. The resulting requirements were then grouped and translated into selection criteria for the alternative SOA tools. Based on these criteria, the stakeholders chose the tool to be purchased using AHP. We describe the project, the challenges we faced and the lessons learned. These relate to the nature and traceability of requirements, to the requirements elicitation process and to the relations between the bank's business units. Arash Golnam, Gil Regev, Alain Wegmann, Sofia Kyriakopoulou |
RE | 4 |
| 2011 | Optimal Service Pricing for a Cloud CacheabstractCloud applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource-economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services. The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. This paper proposes a novel price-demand model designed for a cloud cache and a dynamic pricing scheme for queries executed in the cloud cache. The pricing solution employs a novel method that estimates the correlations of the cache services in an time-efficient manner. The experimental study shows the efficiency of the solution. Verena Kantere, Debabrata Dash, Grégory François, Sofia Kyriakopoulou, Anastasia Ailamaki |
IEEE Trans. Knowl. Data Eng. | 4 |