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Parallel data intensive computing in scientific and commercial applications

Mario Cannataro, Domenico Talia, Pradip K Srimani
2002 Parallel Computing  
The integration of parallel and distributed computational environments will produce major improvements in performance for both computing intensive and data intensive applications in the future.  ...  Applications that explore, query, analyze, visualize, and, in general, process very large scale data sets are known as Data Intensive Applications.  ...  intensive computing.  ... 
doi:10.1016/s0167-8191(02)00091-1 fatcat:qetjnt73xrbf3eil5p6suwx4ua

Scheduling Method of Data-Intensive Applications in Cloud Computing Environments

Xiong Fu, Yeliang Cang, Xinxin Zhu, Song Deng
2015 Mathematical Problems in Engineering  
in a cloud computing environment.  ...  The virtualization of cloud computing improves the utilization of resources and energy. And a cloud user can deploy his/her own applications and related data on a pay-as-you-go basis.  ...  Acknowledgments This work is sponsored by the National Science Foundation of China (nos. 61202354 and 61272422) and technological innovation fund for technology-based enterprises of Jiangsu Province in  ... 
doi:10.1155/2015/605439 fatcat:vqabbenopfe3rhte6fiqwykcmi

Data intensive applications on clouds

Geoffrey C. Fox
2011 Proceedings of the second international workshop on Data intensive computing in the clouds - DataCloud-SC '11  
We suggest that the data deluge implies a corresponding increase in the computational resources needed to support analysis and this suggests new architectures for large scale data repositories.  ...  The cyberinfrastructure supporting science will include large-scale simulation systems headed to exascale combined with cloud like systems supporting data intensive and high throughput computing, pleasingly  ...  to data intensive computing [2, 3].  ... 
doi:10.1145/2087522.2087524 fatcat:ilmqpvteszclliewspmzz6lt6q

Data Replication Techniques for Data-Intensive Applications [chapter]

Jaechun No, Chang Won Park, Sung Soon Park
2006 Lecture Notes in Computer Science  
In this paper we describe the design and implementation of our two replication techniques and present performance results on Linux clusters.  ...  Several data replication techniques have been developed to support high-performance data accesses to the remotely produced scientific data.  ...  GEDAS Architecture Overview of GEDAS In GEDAS, users on the data owner run large-scale, data-intensive applications while writing large amounts of data to the local storage.  ... 
doi:10.1007/11758549_141 fatcat:dj4gtd2ywngnzbzurrl4nwqvk4

Data intensive distributed computing: A medical application example [chapter]

Jason Lee, Brian Tierney, William Johnston
1999 Lecture Notes in Computer Science  
The technologies, the middleware services, and the architectures that are used to build useful high-speed, wide area distributed systems, constitute the field of data intensive computing.  ...  Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation.  ...  Conclusions We believe this architecture, and its integration with systems like Globus ([5], [2] ), will enable the next generation of configurable, distributed, high-performance, data-intensive systems  ... 
doi:10.1007/bfb0100576 fatcat:3q2lbkd7yzfxfaz3ybj75ovtse

Level of Detail Concepts in Data-Intensive Web Applications [chapter]

Sara Comai
2005 Lecture Notes in Computer Science  
Current data-intensive Web applications, such as on-line trading, ecommerce, corporate portals and so on, are becoming more and more complex, both in terms of density of information and in terms of navigational  ...  In this paper we present a technique for tuning the amount of data presented to the user, directly inspired to the concept of Levels of Details (LoD), commonly used in computer graphics.  ...  Introduction Today data-intensive Web applications, allowing access and maintenance of large amounts of structured data, typically stored in a database management system, represent a broad class of applications  ... 
doi:10.1007/11531371_30 fatcat:rtlgcv6fxze3vbqxmaw4p2ewzm

Cross-Phase Optimization in MapReduce [chapter]

Benjamin Heintz, Abhishek Chandra, Jon Weissman
2014 Cloud Computing for Data-Intensive Applications  
MapReduce has been designed to accommodate large-scale data-intensive workloads running on large singlesite homogeneous clusters.  ...  Our work continues this exploration by applying MapReduce across widely distributed data over distributed computation resources.  ...  RELATED WORK Traditionally, the MapReduce [1] programming paradigm assumes a tightly coupled homogeneous cluster applied to a uniform data-intensive application.  ... 
doi:10.1007/978-1-4939-1905-5_12 fatcat:izaj33b62zhblnxh2vmtno5ivq

Improvement of job completion time in data-intensive cloud computing applications

Ibrahim Adel Ibrahim, Mostafa Bassiouni
2020 Journal of Cloud Computing: Advances, Systems and Applications  
Task stragglers in MapReduce jobs dramatically impede job execution of data-intensive computing in cloud data centers.  ...  BDCP can assist in straggler mitigation during reduce phase and minimize the job completion time in MapReduce jobs within data-intensive cloud computing.  ...  Authors' contributions The research presented in this paper is part of the Ph.D. dissertation of the first author under the supervision of the second author.  ... 
doi:10.1186/s13677-019-0139-6 fatcat:5ppaqzhr7rc33hzvigo2gfvsga

File Caching in Data Intensive Scientific Applications on Data-Grids [chapter]

Ekow Otoo, Doron Rotem, Alexandru Romosan, Sridhar Seshadri
2006 Lecture Notes in Computer Science  
Units of Iterations Weight is i 1 , i 2 , e i SDM Center Conclusion • Addressed a new caching problem, i.e., File-Bundle Caching, that arises in data intensive applications in data-grids. • Derivation  ...  SDM Center The End • Thank You ••• Comparison with Greedy-Dual-Size (GDS) For both Uniform and Zipf request distributions FBC out-performs GDS in minimizing byte miss-ratio. intensive scientific applications  ... 
doi:10.1007/11611950_8 fatcat:y3gwfif3zjhvnfu3ofcq5uncba

Testing Data Consistency of Data-Intensive Applications Using QuickCheck

Laura M. Castro, Thomas Arts
2011 Electronical Notes in Theoretical Computer Science  
Hence, from the point of view of testing data-intensive applications, one of the most relevant aspects is to ensure correctness of the business logic in terms of data consistency.  ...  Many software systems are data-intensive and use a data management systems for data storage, such as Relational Database Management Systems (RDBMS).  ...  Conclusions In this paper, we have presented a testing method suitable for data-intensive applications.  ... 
doi:10.1016/j.entcs.2011.02.010 fatcat:jb4ru2go2bhfhg7xckfb73hbpm

Performance Evaluation of Data Intensive Computing In the Cloud

Sanjay P. Ahuja, Bhagavathi Kaza
2014 International Journal of Cloud Applications and Computing  
With increasing demand for data storage in the cloud, study of data-intensive applications is becoming a primary focus.  ...  While some research exists for the performance effect of data intensive applications in the cloud, none of the research compares the Amazon Elastic Compute Cloud (Amazon EC2) and Google Compute Engine  ...  Size CONCLUSIONS The following is a discussion of the results presented in chapter 6, organized by the benchmarks studied.  ... 
doi:10.4018/ijcac.2014040103 fatcat:t5k3z2c73ref5ghh3mmbphwdpi

Model Transformations in the Development of Data–Intensive Web Applications [chapter]

Davide Di Ruscio, Alfonso Pierantonio
2005 Lecture Notes in Computer Science  
Different PSMs can be generated from a Webile model in order to describe different aspects of J2EE Web applications designed according to the Model-View-Controller [14] architectural pattern.  ...  In particular, the paper presents model-driven transformations between platform-independent (conceptual descriptions of Web applications) and platform-specific (Model-View-Controller conformant) models  ...  In this paper, we describe a systematic approach to model-driven development of data-intensive Web applications meant as hybrid between hypermedia and information systems [13] .  ... 
doi:10.1007/11431855_33 fatcat:p33xf3rhrnh7zn7twdniqhdip4

Compiling Data Intensive Applications with Spatial Coordinates [chapter]

Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel Saltz
2001 Lecture Notes in Computer Science  
In this paper, we focus on data intensive applications with two important properties: 1) data elements have spatial coordinates associated with them and the distribution of the data is not regular with  ...  We are developing a compiler which processes data intensive applications written in a dialect of Java and compiles them for e cient execution on cluster of workstations or distributed memory machines.  ...  In this paper, we focus on data intensive applications with two important properties: 1) data elements have spatial coordinates associated with them and the distribution of the data is not regular with  ... 
doi:10.1007/3-540-45574-4_22 fatcat:sbuw3rvx3vfhvkdbzwus5t4skm

Heuristic Data Placement for Data-Intensive Applications in Heterogeneous Cloud

Qing Zhao, Congcong Xiong, Peng Wang
2016 Journal of Electrical and Computer Engineering  
Data placement is an important issue which aims at reducing the cost of internode data transfers in cloud especially for data-intensive applications, in order to improve the performance of the entire cloud  ...  And then a heuristic tree-to-tree data placement strategy is advanced in order to make frequent data movements occur on high-bandwidth channels.  ...  Conclusions and Future Work In this paper, we proposed a data placement algorithm for data-intensive applications in cloud system.  ... 
doi:10.1155/2016/3516358 fatcat:ixblssltgnes5kmjhwwaim7oh4

Improving efficiency of data-intensive applications in goal-oriented adaptive computer systems

Maciej Młyński, Przemysław Rumik
2011 Theoretical and Applied Informatics  
This paper presents an analysis of using the Workload Manager utility in the AIX 5L operating system to improve the efficiency of applications in the MySQL database environment, and an analysis of methods  ...  An accurate use of the ability to steer computer efficiency is essential from the database point of view.  ...  testing methods used in this paper can only be used in part for this purpose. Irregular applications need more complex and time-consuming testing strategies.  ... 
doi:10.2478/v10179-011-0004-x fatcat:wki4ov3ulbhxnltt4tg56w7jjy
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