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A Cost Model for Parallel Navigational Access in Complex-Object DBMSs

Michael Gesmann
1997 Database Systems for Advanced Applications '97  
In contrast to others, our cost model covers parallel execution of navigational retrieval operations under a restricted number of available buffer frames.  ...  In order to evaluate parallel access strategies when collecting a set of objects, we present a cost model to estimate the necessary amount of page I/O.  ...  The y-axis shows the ratio between necessary physical I/Os per page with multiple scans and the necessary amount of I/O per page with a single scan.  ... 
doi:10.1142/9789812819536_0001 fatcat:r7ohbj557jhsxm2t3vxpmfxvxi

Adaptive and big data scale parallel execution in oracle

Srikanth Bellamkonda, Hua-Gang Li, Unmesh Jagtap, Yali Zhu, Vince Liang, Thierry Cruanes
2013 Proceedings of the VLDB Endowment  
The paper also discusses our approach to parallelize queries with operations that are inherently serial.  ...  These methods provide highly scalable and adaptive evaluation for the most commonly used SQL operations -joins, group-by, rollup/cube, grouping sets, and window functions.  ...  With small table replication, scan of the small table and the subsequent join operation get combined into a single DFO. Figure 13 shows parallel plan with small table replication.  ... 
doi:10.14778/2536222.2536235 fatcat:65zmx2iwkzdbpj7tbl3vhgzsyu

Providing Scalable Database Services on the Cloud [chapter]

Chun Chen, Gang Chen, Dawei Jiang, Beng Chin Ooi, Hoang Tam Vo, Sai Wu, Quanqing Xu
2010 Lecture Notes in Computer Science  
strategies.  ...  The Cloud is fast gaining popularity as a platform for deploying Software as a Service (SaaS) applications.  ...  We would like to thank the conference chairs and PC chairs for their patience.  ... 
doi:10.1007/978-3-642-17616-6_1 fatcat:vxojjhaguzbn3bdiphoqnor5pi

An introduction to parallel rendering

Thomas W. Crockett
1997 Parallel Computing  
Today, parallel hardware is routinely used in graphics workstations, and numerous software-based rendering systems have been developed for general-purpose parallel architectures.  ...  Concepts from parallel computing, such as data decomposition and load balancing, are considered in relation to the rendering problem.  ...  Acknowledgments The author would like to thank Tony Apodaca, Chuck Hansen, Scott Whitman, Craig Wittenbrink, Sam Uselton, and the staff of NASA Langley's Technical Library for their assistance in researching  ... 
doi:10.1016/s0167-8191(97)00028-8 fatcat:xok6klhg7fbpxbqruxvog4hgka

MODELS AND SOLUTIONS FOR THE IMPLEMENTATION OF DISTRIBUTED SYSTEMS

Tarca Naiana, Vatuiu Teodora, Ghencea Adrian
2011 Annals of the University of Oradea: Economic Science  
We can take for example a mobile communications system.  ...  , in line with Europe 2020, launched by the European Council in June 2010.  ...  In the architecture with multiple processing nodes, for large databases, data placement becomes a complex problem and system administration can be difficult.  ... 
doaj:334a7a0a88b34122950f076ad0c73eaf fatcat:jcyhfh3kzjfnvcnfdxpvqnayl4

Parallelized Data Replication of Multi-Petabyte Storage Systems

Honwai Leong, Andrew Jankee, Daniel Richards, Stephen Kolmann
2020 Zenodo  
This paper presents the architecture of a highly parallelized data replication workflow implemented at The University of Sydney that forms the disaster recovery strategy for two 8-petabyte research data  ...  It achieves high performance asynchronous data replication between two storage systems at sites 40km's apart.  ...  ACKNOWLEDGMENTS The authors would like to extend gratitude and appreciation to all participating staff from both The University of Sydney and DDN for contributing countless hours of efforts in successfully  ... 
doi:10.5281/zenodo.4327598 fatcat:jl25nmzrbvfdvo3dseh32yxlh4

Dynamic Fault Tolerance for Multi-Node Query Processing

Yutaro BESSHO, Yuto HAYAMIZU, Kazuo GODA, Masaru KITSUREGAWA
2022 IEICE transactions on information and systems  
PhoeniQ continuously takes a checkpoint for every operator pipeline and replicates the output of each stateful operator among different processing nodes.  ...  This paper proposes a fault-tolerant query processing mechanism, named PhoeniQ, for analytical parallel database systems.  ...  Acknowledgements This work was in part supported by Impulsing Paradigm Change through Disruptive Technologies Program (Im-PACT) by Cabinet Office, Japan and JSPS Grant-in-Aid for Scientific Research (B  ... 
doi:10.1587/transinf.2021dap0004 fatcat:d2gg3cbdk5dwjo673w2yqgcvku

On the performance of parallel join processing in shared nothing database systems [chapter]

Robert Marek, Erhard Rahm
1993 Lecture Notes in Computer Science  
Parallel database systems aim at providing high throughput for OLTP transactions as well as short response times for complex and data-intensive queries.  ...  Experiments conducted with a detailed simulation model of shared nothing systems demonstrate the need for dynamic load balancing strategies for efficient join processing in multi-user mode.  ...  • Strategy 2 "Assign Join Operators to the Processors With Minimal Work for Scan": This strategy aims at balancing the load by assigning join operators to processors where no scans have to be performed  ... 
doi:10.1007/3-540-56891-3_50 fatcat:c4yphstgpbefro3l2vnzdnbrpy

Parallelized Data Replication of Multi-Petabyte Storage Systems

Honwai Leong, Andrew Janke, Daniel Richards, Stephen Kolmann
2020 Zenodo  
This paper presents the architecture of a highly parallelized data replication workflow implemented at The University of Sydney that forms the disaster recovery strategy for two 8-petabyte research data  ...  It achieves high performance asynchronous data replication between two storage systems at sites 40km's apart.  ...  ACKNOWLEDGMENTS The authors would like to extend gratitude and appreciation to all participating staff from both The University of Sydney and DDN for contributing countless hours of efforts in successfully  ... 
doi:10.5281/zenodo.4737878 fatcat:sth2mys3kngqfmchokvuj4rt2a

Extending Multicore Architectures to Exploit Hybrid Parallelism in Single-thread Applications

Hongtao Zhong, Steven A. Lieberman, Scott A. Mahlke
2007 2007 IEEE 13th International Symposium on High Performance Computer Architecture  
Current chip multiprocessors increase throughput by utilizing multiple cores to perform computation in parallel.  ...  , and loops with small trip counts.  ...  Acknowledgments We thank Mike Schlansker for his excellent comments and suggestions for this work. Much gratitude goes to the anonymous referees who provided helpful feedback on this work.  ... 
doi:10.1109/hpca.2007.346182 dblp:conf/hpca/ZhongLM07 fatcat:sauqiioqtvfaro65x6xyffqr6m

GraphX: Unifying Data-Parallel and Graph-Parallel Analytics [article]

Reynold S. Xin, Daniel Crankshaw, Ankur Dave, Joseph E. Gonzalez, Michael J. Franklin, Ion Stoica
2014 arXiv   pre-print
As a consequence, existing graph analytics pipelines compose graph-parallel and data-parallel systems using external storage systems, leading to extensive data movement and complicated programming model  ...  GraphX uses a collection of query optimization techniques such as automatic join rewrites to efficiently implement these graph-parallel operators.  ...  For the data-parallel operators we adopt the standard well-established execution strategies, using indexes when available.  ... 
arXiv:1402.2394v1 fatcat:xxx2uvx6arbgdnjqiw7igqztnm

ES2: A cloud data storage system for supporting both OLTP and OLAP

Yu Cao, Chun Chen, Fei Guo, Dawei Jiang, Yuting Lin, Beng Chin Ooi, Hoang Tam Vo, Sai Wu, Quanqing Xu
2011 2011 IEEE 27th International Conference on Data Engineering  
Intrigued by such an observation, we have designed and implemented epiC, an elastic power-aware data-itensive Cloud platform for supporting both data intensive analytical operations (ref. as OLAP) and  ...  A typical data management system has to deal with real-time updates by individual users, and as well as periodical large scale analytical processing, indexing, and data extraction.  ...  We would also like to thank the anonymous reviewers for their insightful comments.  ... 
doi:10.1109/icde.2011.5767881 dblp:conf/icde/CaoCGJLOVWX11 fatcat:jndlwocdvrfoljhacn5pdjypm4

Parallel query processing in shared disk database systems

Erhard Rahm
1993 SIGMOD record  
A detailed comparison between Shared Disk and Shared Nothing reveals many potential benefitS for Shared Disk with respect to parallel query processing.  ...  Multiprocessors are already utilized by several commercial DBMS for parallelizing certain operations (e.g., index constructionimaintenance or sorting) [Ha90, Da92].  ...  For instance, scan operators on different relations can be executed in parallel (inter-operator parallelism); a scan on a single relation can be parallelized by partitioning the relation and the scan operator  ... 
doi:10.1145/166635.166649 fatcat:ky6omhxokjexffwmbx4is4x34e

Image understanding architecture: exploiting potential parallelism in machine vision

C.C. Weems, E.M. Riseman, A.R. Hanson
1992 Computer  
The SPA is a multiple-instruction multiple-data (MIMD) parallel processor. while the intermediate and low levels operate in multiple modes.  ...  The CAAPP operates in single-instruction multiple-data (SIMD) associative or multiassociative mode, and the ICAP operates in single-program multiple-data (SPMD) or MIMD mode.  ...  His research interests include parallel processing, parallel algorithms, and distributed-system design. Juan Li is an advisory engineer with IBM.  ... 
doi:10.1109/2.121476 fatcat:cmclac5a7zdh7aikz7s4wddkwm

Query optimization for massively parallel data processing

Sai Wu, Feng Li, Sharad Mehrotra, Beng Chin Ooi
2011 Proceedings of the 2nd ACM Symposium on Cloud Computing - SOCC '11  
MapReduce has been widely recognized as an efficient tool for large-scale data analysis.  ...  It achieves high performance by exploiting parallelism among processing nodes while providing a simple interface for upper-layer applications.  ...  We also thank the anonymous reviewers for their insightful comments.  ... 
doi:10.1145/2038916.2038928 dblp:conf/cloud/WuLMO11 fatcat:wrk3tn2o5zfwtc2ascmgsvyr2a
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