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Data Replication and the Storage Capacity of Data Grids [chapter]

Silvia Figueira, Tan Trieu
2008 Lecture Notes in Computer Science  
Storage is undoubtedly one of the main resources in data grids, and planning the capacity of storage nodes is an important step in any data-grid design.  ...  replication may lead to different storage requirements, affecting the storage-capacity planning.  ...  Since one of the main resources in data grids is storage, planning the capacity of storage nodes is a key part of a data-grid design. This paper focuses on storagecapacity planning for data grids.  ... 
doi:10.1007/978-3-540-92859-1_50 fatcat:rbioxi4tizdb7ijgn6csd2as2i

Efficient Dynamic Replication Algorithm Using Agent for Data Grid

Priyanka Vashisht, Rajesh Kumar, Anju Sharma
2014 The Scientific World Journal  
The scheduling parameters are bandwidth, load gauge, and computing capacity of the node. The scheduling in data grid helps in reducing the data access time.  ...  In data grids scientific and business applications produce huge volume of data which needs to be transferred among the distributed and heterogeneous nodes of data grids.  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.  ... 
doi:10.1155/2014/767016 pmid:25028680 pmcid:PMC3982471 fatcat:klifvvg5afebbf6w3s45feg4te

Integrating Scheduling and Replication in Data Grids with Performance Guarantee

L. R. Anikode, Bin Tang
2011 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011  
Job scheduling and data replication are two well-known techniques to boost the performance of Data Grid.  ...  Data Grid consists of geographically distributed computing and storage resources that are used in large scale scientific applications.  ...  The research described in this paper has been partially supported by NSF Grants CNS-1116849 and EPS-0903806. We also thank Dr. Himanshu Gupta and the anonymous reviewers for the helpful suggestions.  ... 
doi:10.1109/glocom.2011.6134492 dblp:conf/globecom/AnikodeT11 fatcat:x2vuanftx5dqrjqyvhsuki7lk4

Decentralized data management framework for Data Grids

Houda Lamehamedi, Boleslaw K. Szymanski
2007 Future generations computer systems  
We introduce a new distributed, adaptive, and scalable middleware that provides transparent access to data in Data Grids.  ...  Results from simulations and deployment of our middleware show that our solution provides better data access performance than static approaches.  ...  A cache node corresponds to an intermediate storage site that is expected to have high storage capacity and to replicate part of the data stored on the main storage site.  ... 
doi:10.1016/j.future.2006.06.005 fatcat:7i4zl5im4zee5lb2eqiluuaxxy

Automatic data placement and replication in grids

Ying Ding, Ying Lu
2009 2009 International Conference on High Performance Computing (HiPC)  
Data grids provide geographically distributed storage and computing resources for large data-intensive applications.  ...  To support fast data access and processing, effective data management is essential. In this paper, we propose two novel algorithms on data placement and data replication.  ...  We use C i and S i to respectively denote the computing capacity and the storage capacity of the i th site.  ... 
doi:10.1109/hipc.2009.5433229 dblp:conf/hipc/DingL09 fatcat:4whizui5bvgr5mxwovkyulhori

Based on the Correlation of the File Dynamic Replication Strategy in Multi-Tier Data Grid

Zhongqiang Cui, Decheng Zuo, Zhan Zhang
2015 International Journal of Database Theory and Application  
The data grid is one of the infrastructures for data and storage resource management. Data replication can improve data access performance, fault tolerance, and reduce network transmission bandwidth.  ...  As the site storage space is limited in the grid, how to effectively use grid resources become an important challenge.  ...  The data grid is mainly the grid for data storage management. The data grid is defined as an effective combination of data and computing resources of distributed systems by Data Grid Group.  ... 
doi:10.14257/ijdta.2015.8.1.09 fatcat:nouil3ug5fgqlp332k3hq6tesy

Data Replication in Data Intensive Scientific Applications with Performance Guarantee

Dharma Nukarapu, Bin Tang, Liqiang Wang, Shiyong Lu
2011 IEEE Transactions on Parallel and Distributed Systems  
more scalable and adaptive to the dynamic change of file access patterns in Data Grids.  ...  However, the problem of data replication in Data Grids, an enabling technology for data intensive applications, has proven to be NP-hard and even non approximable, making this problem difficult to solve  ...  Each Grid site has limited storage capacity and can cache/store multiple data files subject to its storage capacity constraint. Data Grid model.  ... 
doi:10.1109/tpds.2010.207 fatcat:mov5dcqblfdhrkhphnwoccygna

AN ENHANCED ADAPTIVE SCORING JOB SCHEDULING ALGORITHM WITH REPLICATION STRATEGY IN GRID ENVIRONMENT

S. K. Aparnaa .
2014 International Journal of Research in Engineering and Technology  
Grid computing is a form of distributed computing that involves coordinating and sharing data storage and network resource.  ...  The jobs that are submitted by the user is divided into sub tasks and replicated. By using this strategy the job occupies lower storage capacity and bandwidth.  ...  Due to massive size of data the task of managing and distributing data quickly is a problem and hence the planning of storage capacity in data grids are carried out.  ... 
doi:10.15623/ijret.2014.0304120 fatcat:inbfh27nmfbwddeahsr7vswa2u

TBHR: A Dynamic Data Management in Grid Computing

Ms. Prema. R
2019 International Journal for Research in Applied Science and Engineering Technology  
Day by day the size of the data in data grid is increasing more than Terabytes. Accessing such huge sized data is a serious challenge to network and Grid designers.  ...  A data grid connects huge numbers of computers which is located various places all over the world for sharing data and resources.  ...  Clustering the sites of data grid requires different storage capacity [9] . So it is difficult to guess the required size to arrange the data properly.  ... 
doi:10.22214/ijraset.2019.3372 fatcat:m2ri42hlpfbgxfmtry4db7r26y

Throughput and Delay Analysis of Database Replication Algorithm

Sanjay Kumar Yadav, Gurmit Singh, Divakar Singh Yadav
2013 International Journal of Modern Education and Computer Science  
In our previous work, modifications to the algorithm have been suggested to minimize the delay in data replication.  ...  The idea is further investigated and simulation results are presented to estimate the throughput and average delay.  ...  The architectural layout of the algorithm is illustrated in Fig. 1 . Here, the grid sites are located at the bottom of the architecture, and consist of storage and/or computing elements.  ... 
doi:10.5815/ijmecs.2013.12.07 fatcat:xvz76aed5rfy3gcbifvhgbjgpm

A New Architecture for Group Replication in Data Grid

Leila Azari, Mashalla Abbasi Dezfouli
2013 International Journal of Computer Applications Technology and Research  
A data grid is a kind of grid types that make relations computational and storage resources.  ...  By using this architecture, popular files group will be replicated in grid sites at the end of each predefined time interval.  ...  The storage capacity of the master site is 100 GB, and the storage capacity of all other sites is 50 GB. Each data file to be accessed is 1 GB.  ... 
doi:10.7753/ijcatr0202.1012 fatcat:nhxogjektrbspozjgnqpkppyqm

File Clustering Based Replication Algorithm in a Grid Environment

Hitoshi Sato, Satoshi Matsuoka, Toshio Endo
2009 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid  
access times to the clustered files and replication times for individual files being minimized under the given storage capacity limitation.  ...  Replication in grid file systems can significantly improves I/O performance of data-intensive applications.  ...  Acknowledgements This research is supported in part by the MEXT Grantin-Aid for Scientific Research on Priority Areas 18049028 and the JSPS Global COE program entitled "Computationism as Foundation for  ... 
doi:10.1109/ccgrid.2009.73 dblp:conf/ccgrid/SatoME09 fatcat:s7vilr2h6fgwda3aox3kvokzam

Dynamic replication strategies in data grid systems: a survey

Uras Tos, Riad Mokadem, Abdelkader Hameurlain, Tolga Ayav, Sebnem Bora
2015 Journal of Supercomputing  
Dynamic data replication is a form of data replication that is performed with respect to the changing conditions of the grid environment.  ...  In this paper, we present a survey of recent dynamic data replication strategies. We study and classify these strategies by taking the target data grid architecture as the sole classifier.  ...  Acknowledgments The work presented in this paper is supported in part by TUBITAK. References  ... 
doi:10.1007/s11227-015-1508-7 fatcat:yiwpcflua5gfnjyqr62nop64ty

Distributed data storage for opportunistic grids

Raphael Y. de Camargo, Fabio Kon
2006 Proceedings of the 3rd international Middleware doctoral symposium on - MDS '06  
Grid applications typically need to deal with large amounts of data. The traditional approach for data storage is to employ high-performance dedicated servers with data replication.  ...  The storage can be transparently accessed from any grid machine, allowing easy data sharing among grid users and applications.  ...  Traditionally, data storage in computational grids uses dedicated storage servers, with data replicated across several servers and managed by replica management systems [3, 4, 20] .  ... 
doi:10.1145/1169100.1169103 fatcat:3f7jlgddlfdkpm5awfur737y54

Incentives, Business Model and Required Technical Infrastructure for the Economic Aware Data Grid [chapter]

Dang Minh Quan, Orestis Terzidis, Sonja Klingert
2010 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
This paper presents an alternative approach, an economic aware data Grid. The incentives of having an economic aware data Grid, the business model and the working mechanism are analyzed in depth.  ...  Applying the way of scientific data Grid to the industry brings many disadvantages such as expensive investment, not efficient usage and unfair sharing.  ...  A data Grid usually includes many High Performance Computing Centers (HPCCs) with enormous storage capacity and computing power. It is obvious that investing a data Grid need a lot of money.  ... 
doi:10.1007/978-3-642-11532-5_11 fatcat:ohrsa65ovvbvti67dypr5y5t3e
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