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A Hybrid Shared-Nothing/Shared-Data Storage Scheme for Large-Scale Data Processing

Huaiming Song, Xian-He Sun, Yong Chen
2011 2011 IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications  
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

Huaiming Song, Xian-He Sun, Yong Chen
2011 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing  
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  
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

Patrick Valduriez
1993 Distributed and parallel databases  
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

David DeWitt, Jim Gray
1992 Communications of the ACM  
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

Raja Appuswamy, Manos Karpathiotakis, Danica Porobic, Anastasia Ailamaki
2017 Conference on Innovative Data Systems Research  
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]

Bo Li, Wei-Tek Tsai, Haiying Zhou, Decheng Zuo
2015 Multimedia Technology IV  
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]

Sudhakar Singh, Rakhi Garg, P. K. Mishra
2017 arXiv   pre-print
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

Lengdong Wu, Liyan Yuan, Jiahuai You
2015 Journal of Computer Science and Technology  
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

Bo Li, Wei-Tek Tsai, Haiying Zhou, Decheng Zuo
2015 Computer Science and Information Technology  
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

Alfons Kemper, Thomas Neumann
2011 2011 IEEE 27th International Conference on Data Engineering  
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

Bashir Alam, M.N. Doja, Mansaf Alam, Shweta Mongia
2013 AASRI Procedia  
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

M.J. Zaki
1999 IEEE Concurrency  
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

Johannes Ax, Gregor Sievers, Julian Daberkow, Martin Flasskamp, Marten Vohrmann, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, Ulrich Ruckert
2018 IEEE Transactions on Parallel and Distributed Systems  
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

Roger Bamford, D. Butler, Boris Klots, N. MacNaughton
1998 Very Large Data Bases Conference  
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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