Scaling SanssouciDB in the Cloud
Hasso Plattner () and
Alexander Zeier ()
Additional contact information
Hasso Plattner: Hasso Plattner Institute
Alexander Zeier: Hasso Plattner Institute
Chapter 8 in In-Memory Data Management, 2011, pp 193-204 from Springer
Abstract:
Abstract This chapter describes why we believe that the technology used in SanssouciDB – our prototype relational database system – is a good fit for Cloud Computing. We begin in Section 8.1 by defining Cloud Computing. In Section 8.2 we describe the different types of applications that are suited for the cloud. Section 8.3 takes a provider’s point of view and describes the type of infrastructure required to offer cloud services. We also examine multi-tenancy, replication, choice of hardware, and energy efficiency. In Section 8.4, we finally offer our conclusions regarding how in-memory computing will play an ever-increasing role in Cloud Computing.
Keywords: Cloud Computing; Cloud Service; Main Memory; Cloud Provider; Public Cloud (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-19363-7_9
Ordering information: This item can be ordered from
http://www.springer.com/9783642193637
DOI: 10.1007/978-3-642-19363-7_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().