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A Hybrid Shared-Nothing/Shared-Data Storage Scheme for Large-Scale Data Processing
2011
2011 IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications
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In this paper, we propose a novel hybrid storage architecture for large-scale data processing, to leverage the benefits of both shared-nothing and shared-disk architectures. ...
The proposed hybrid scheme can achieve both high I/O performance as a sharednothing system, and high-speed data sharing across all server nodes as a share-disk system. ...
Robert Ross and Samuel Lang of Argonne National Laboratory for their help and suggestions with PVFS2. The authors are also grateful to anonymous reviewers for their coming comments and suggestions. ...
doi:10.1109/ispa.2011.43
dblp:conf/ispa/SongSC11
fatcat:enezpavor5bhbfwszhu4zksuqu
A Hybrid Shared-Nothing/Shared-Data Storage Architecture for Large Scale Databases
2011
2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
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In this study, we propose a novel hybrid shared-nothing/shared-data storage scheme for large-scale databases, to leverage the benefits of both shared-nothing and shared-disk architectures. ...
In the meantime, it can achieve convenient and high-speed data sharing across multiple database nodes, like that in a shared-disk system. ...
Rajeev Thakur and Samuel Lang of Argonne National Laboratory for their help and suggestions. ...
doi:10.1109/ccgrid.2011.78
dblp:conf/ccgrid/SongSC11
fatcat:zhgfwzfvr5bkld5pmpbduxevna
A Hybrid Optimization Algorithm and Shamir Secret Sharing Based Secure Data Transmission for IoT based WSN
2021
International Journal of Intelligent Engineering and Systems
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In this paper, the Hybrid Optimization Algorithm (HOA) based secure Cluster Head (CH) selection and routing path generation is obtained for secure data transmission. ...
Additionally, the Shamir Secret Sharing (SSS) method is used for providing mutual authentication between the nodes. ...
The flowchart for the HOA-IoT-WSN method is shown in Fig. 1 .
K-means algorithm for the clustering process The partition-based k-mean algorithm is a classification technique. ...
doi:10.22266/ijies2021.1231.44
fatcat:txrlesamcbfmjfbjrhjjf6ja2q
Parallel database systems: Open problems and new issues
1993
Distributed and parallel databases
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Furthermore, it is still an open issue to decide which of the various architectures among sharedmemory, shared-disk, and shared-nothing, is best for database management under various conditions. ...
Parallel database systems attempt to exploit recent multiprocessor computer architectures in order to build high-performance and high-availability database servers at a much lower price than equivalent ...
Architectural aspects Although the respective advantages and limitations of each architectural model for data management are now well understood, this is not so for hybrid architectures. ...
doi:10.1007/bf01264049
fatcat:owb356rtkra5fplbwktkwogdfi
Parallel database systems: the future of high performance database systems
1992
Communications of the ACM
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Near linear speedup and scaleup for large relational queries. • Gamma -Shared-nothing system. Provides hybrid-range partitioning. ...
However, is shared-nothing architecture with dataflow. • Bubba -Shared-nothing system, but uses shared-memory for message passing. Uses FAD rather than SQL. ...
. • On-line Data Reorganization -Availability of data for concurrent reads and writes as database utilities create indices, reorganize data, etc. ...
doi:10.1145/129888.129894
fatcat:bau6dn5nivbgpdz3y5jx3f2gfy
The Case For Heterogeneous HTAP
2017
Conference on Innovative Data Systems Research
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Modern database engines balance the demanding requirements of mixed, hybrid transactional and analytical processing (HTAP) workloads by relying on i) global shared memory, ii) system-wide cache coherence ...
In this paper, we make the case for Heterogeneous-HTAP (H 2 TAP), a new architecture explicitly targeted at emerging hardware. ...
We would like to thank the anonymous reviewers and the DIAS laboratory members for their constructive feedback. ...
dblp:conf/cidr/AppuswamyKPA17
fatcat:4dzw4rtkurazpgidsle3756mzy
A SaaS-based software modeling for bank intermediary business
[chapter]
2015
Multimedia Technology IV
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Software-as-a-Service (SaaS) is a new research orientation for developing software, and has multi-tenancy architecture and customization features, which are very suitable for performance and benchmark ...
The database is further extended with the SaaS hybrid two-layer partition methodology and the performance is proved to be better than that in three-tier C/S architecture. ...
SaaS-BIB-DM (Database Model) Many partitioning schemes have been studied and we propose a hybrid partition scheme for the SaaS-BIB-DM model, which divide the table into rows and horizontal partitioning ...
doi:10.1201/b18262-18
fatcat:qxwnzwgxgjdghh5nsv627bfpdi
A Comparative Study of Association Rule Mining Algorithms on Grid and Cloud Platform
[article]
2017
arXiv
pre-print
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Association rule mining is a time consuming process due to involving both data intensive and computation intensive nature. ...
Grid and cloud are the emerging platform for distributed data processing and various association rule mining algorithms have been proposed on such platforms. ...
MapReduce is a simplified programming model used in cloud computing for processing large volume of data sets [26] , [40] . ...
arXiv:1709.07594v1
fatcat:6jneovykqvfq5ja6vmds3akziy
Survey of Large-Scale Data Management Systems for Big Data Applications
2015
Journal of Computer Science and Technology
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high throughput of transaction processing, but lack the capacity of scale-out. ...
Diverse systems for processing big data explore various possibilities in the infrastructure design space. ...
An evaluation of alternative architectures for transaction processing in the cloud. ...
doi:10.1007/s11390-015-1511-8
fatcat:tzdpu6jdive6dooandmaepiko4
A SaaS-based Software Modeling for Bank Intermediary Business
2015
Computer Science and Information Technology
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Software-as-a-Service (SaaS) is a new research orientation for developing software, and has multi-tenancy architecture and customization features, which are very suitable for performance and benchmark ...
The database is further extended with the SaaS hybrid two-layer partition methodology and the performance is proved to be better than that in three-tier C/S architecture. ...
Many partitioning schemes have been studied and we propose a hybrid partition scheme for the SaaS-BIB-DM model, which divide the table into rows and horizontal partitioning the key-value stores.
C. ...
doi:10.13189/csit.2015.030201
fatcat:zavmnzzcyjaqfa7pmdlgefm7ce
HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots
2011
2011 IEEE 27th International Conference on Data Engineering
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The two areas of online transaction processing (OLTP) and online analytical processing (OLAP) present different challenges for database architectures. ...
Currently, customers with high rates of mission-critical transactions have split their data into two separate systems, one database for OLTP and one so-called data warehouse for OLAP. ...
For our HyPer system we adopt a main-memory architecture for transaction processing. ...
doi:10.1109/icde.2011.5767867
dblp:conf/icde/KemperN11
fatcat:vpn63e2w7rcf3dia3ievzf7oj4
5-Layered Architecture of Cloud Database Management System
2013
AASRI Procedia
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In this paper we are proposing a framework for 5-layered architecture in cloud database management system. ...
Third layer is the Conceptual Layer in which programming techniques, transaction management, query processing and optimization are the issues that should be considered. ...
A system "SQLMR" [1] , which is a hybrid approach to fill the gap between SQL-based and MapReduce data processing. ...
doi:10.1016/j.aasri.2013.10.078
fatcat:653lbab3cbdl3jcm226zxphn2i
Parallel and distributed association mining: a survey
1999
IEEE Concurrency
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This survey can serve as a reference for both researchers and practitioners. ...
unsupervised data mining over variable-length data, and it produces clear, understandable results. ...
Third, instead of a round-robin candidate partitioning, they perform a single-item, prefix-based partitioning. Before processing a transaction, they make sure that it contains the relevant prefixes. ...
doi:10.1109/4434.806975
fatcat:v2icq37pfrfivjs5wfrdklyrqm
CoreVA-MPSoC: A Many-Core Architecture with Tightly Coupled Shared and Local Data Memories
2018
IEEE Transactions on Parallel and Distributed Systems
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We analyze memory architectures with local data memory only, shared data memory only, and a hybrid architecture integrating both. ...
An architecture with shared data memory shows best performance results in combination with a high resource efficiency. ...
We analyze memory architectures with local data memory only, shared data memory only, and a hybrid architecture integrating both. ...
doi:10.1109/tpds.2017.2785799
fatcat:2ekyz2iegzgpnbnms2duke55rm
Architecture of Oracle Parallel Server
1998
Very Large Data Bases Conference
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Oracle Parallel Server (OPS) is a shared disk RDBMS. We present a high level overview of the main architectural issues of OPS and their evolution throughout the releases of the Oracle database. ...
Oracle Parallel Query architecture in conjunction with OPS provides a very successful hybrid of shared disk and shared nothing software functionality. ...
The challenge of this architecture (as of any clustered or distributed architecture) is to provide data coherency for the independent users of the system. ...
dblp:conf/vldb/BamfordBKM98
fatcat:pmd2e5dfcfalhotpmiqxx7x3be
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