Data Archiving in the Cloud
Project funded by own resources
Project title Data Archiving in the Cloud
Principal Investigator(s) Schuldt, Heiko
Project Members Brinkmann, Filip-Martin
Vogt, Marco
Organisation / Research unit Departement Mathematik und Informatik / Datenbanken (Schuldt)
Project start 15.08.2011
Probable end 14.08.2018
Status Completed
Abstract

With the advent of data Clouds that come with nearly unlimited storage capacity combined with low storage costs, the well-established update-in-place paradigm for data management is more and more replaced by a multi-version approach. Especially in a Cloud environment with several geographically distributed data centers that act as replica sites, this allows to keep old versions of data and thus to provide a rich set of read operations with different semantics (e.g., read most recent version, read version not older than, read data as of, etc.). A combination of multi-version data management, replication, and partitioning allows to redundantly store several or even all versions of data items without significantly impacting each single site. However, in order to avoid that single sites in such partially replicated data Clouds are overloaded when processing archive queries that access old versions, query optimization has to jointly consider version selection and load balancing (site selection). In our work, we address novel cost-aware index approaches (called ARCTIC) for version and site selection for a broad range of query types including both fresh data and archive data.

Financed by University funds

Published results ()

  ID Autor(en) Titel ISSN / ISBN Erschienen in Art der Publikation
2301770  Fetai, Ilir; Brinkmann, Filip-Martin; Schuldt, Heiko  PolarDBMS: Towards a Cost-Effective and Policy-Based Data Management in the Cloud      Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
3177812  Brinkmann, Filip-Martin; Schuldt, Heiko  Towards Archiving-as-a-Service: A Distributed Index for the Cost-effective Access to Replicated Multi-Version Data      Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
3695540  Brinkmann, Filip-Martin; Fetai, Ilir; Schuldt, Heiko  SLA-basierte Konfiguration eines modularen Datenbanksystems für die Cloud  978-3-658-11588-3  Big Data: Grundlagen, Systeme und Nutzungspotenziale  Publication: Book Item (Buchkap., Lexikonartikel, jur. Kommentierung, Beiträge in Sammelbänden etc.) 
   

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20/10/2018