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Title:

Monitoring Thread-Related Resource Demands of a Multi-Tenant In-Memory Database in a Cloud Environment

Document type:
Konferenzbeitrag
Author(s):
Paluch, Dominik; Rank, Johannes; Kienegger, Harald; Krcmar, Helmut
Non-TUM Co-author(s):
nein
Cooperation:
-
Abstract:
Estimating the resource demand of a highly configurable software system like an in-memory database is a difficult task. Many factors such as the workload, flexible resource allocation, multi-tenancy and various configuration settings influence the actual performance behavior of such systems. Cloud providers offering Database-as-a-Service applications need to monitor and apply these factors in order to utilize their systems in an efficient and cost-effective manner. However, only observing the CP...     »
Intellectual Contribution:
Discipline-based Research
Book / Congress title:
31st GI-Workshop Grundlagen von Datenbanken
Congress (additional information):
Saarburg, Germany
Year:
2019
Peer reviewed:
Nein
Commissioned:
not commissioned
Technology:
Nein
Interdisciplinarity:
Nein
Mission statement:
;
Ethics and Sustainability:
Nein
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