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dc.contributor.author
Botan, Irina
dc.contributor.author
Cho, Younggoo
dc.contributor.author
Derakhshan, Roozbeh
dc.contributor.author
Dindar, Nihal
dc.contributor.author
Haas, Laura M.
dc.contributor.author
Kim, Kihong
dc.contributor.author
Lee, Chulwon
dc.contributor.author
Mundada, Girish
dc.contributor.author
Shan, Ming-Chien
dc.contributor.author
Tatbul, Nesime
dc.contributor.author
Yan, Ying
dc.contributor.author
Yun, Beomjin
dc.contributor.author
Zhang, Jin
dc.date.accessioned
2017-07-28T08:10:24Z
dc.date.available
2017-06-08T23:47:10Z
dc.date.available
2017-07-28T08:10:24Z
dc.date.issued
2009
dc.identifier.uri
http://hdl.handle.net/20.500.11850/20070
dc.identifier.doi
10.3929/ethz-a-006835778
dc.description.abstract
Despite the availability of several commercial data stream processing engines (SPEs), it remains hard to develop and maintain streaming applications. A major difficulty is the lack of standards, and the wide (and changing) variety of application requirements. Consequently, existing SPEs vary widely in data and query models, APIs, functionality, and optimization capabilities. This has led to some organizations using multiple SPEs, based on their application needs. Furthermore, management of stored data and streaming data are still mostly separate concerns, although applications increasingly require integrated access to both. In the MaxStream project, our goal is to design and build a federated stream processing architecture that seamlessly integrates multiple autonomous and heterogeneous SPEs with traditional databases, and hence facilitates the incorporation of new functionality and requirements. In this paper, we describe the design and implementation of the MaxStream architecture, and demonstrate its feasibility and performance on two benchmarks: the Linear Road Stream Data Management Benchmark and the SAP Sales and Distribution Benchmark.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
ETH, Departement of Computer Science
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
SAP SD Benchmark
en_US
dc.subject
MIKROPROZESSOREN + MIKROCOMPUTER (HARDWARE)
en_US
dc.subject
SAP MaxDB
en_US
dc.subject
Linear Road Benchmark
en_US
dc.subject
PROZESSORARCHITEKTUREN + RECHNERARCHITEKTUREN (COMPUTERSYSTEME)
en_US
dc.subject
PROCESSOR ARCHITECTURES + COMPUTER ARCHITECTURES (COMPUTER SYSTEMS)
en_US
dc.subject
Data stream processing
en_US
dc.subject
MICROPROCESSORS + MICROCOMPUTERS (HARDWARE)
en_US
dc.subject
Heterogeneity
en_US
dc.subject
federated database systems
en_US
dc.title
Design and Implementation of the MaxStream Federated Stream Processing Architecture
en_US
dc.type
Report
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2011
ethz.journal.title
Technical Report / ETH Zurich, Department of Computer Science
ethz.journal.volume
632
en_US
ethz.size
12 p.
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.identifier.nebis
006835778
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science
ethz.date.deposited
2017-06-08T23:47:17Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp59364cb1a951184157
ethz.identifier.importid
imp59366b19ab15038917
ethz.ecolpid
eth:5027
ethz.ecitpid
pub:32505
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-28T08:10:39Z
ethz.rosetta.lastUpdated
2021-02-14T18:07:45Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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