A systematic approach to the integration of overlapping partitions in service-oriented data grids

Date

2011-06-01

Author

Sunercan, H. Kevser
Alpdemir, M. Nedim
Çiçekli, Fehime Nihan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

262
views

0
downloads

This paper aims to provide a service-oriented data integration solution over data Grids for cases where distributed data sources are partitioned with overlapping sections of various proportions. This is an interesting variation which combines both replicated and partitioned data within the same data management framework. Thus, the data management infrastructure has to deal with specific challenges regarding the identification, access and aggregation of partitioned data with varying proportions of overlapping sections. In order to provide a solution we have extended a well-known data access and integration middleware, namely Open Grid Services Architecture-Data Access and Integration Distributed Query Processing (OGSA-DAI DQP), with distributed query processing facilities, by incorporating the new 'UnionPartitions' operator into its algebra in order to cope with various unusual forms of horizontally partitioned databases. Our solution extends OGSA-DAI DQP in two aspects: (1)a new operator type is added to the algebra to handle the union of the partitions with different characteristics, and (2)OGSA-DAI DQP Federation Description is extended to include some more metadata to facilitate the successful execution of the newly introduced operator.

Subject Keywords

Computer Networks and Communications, Hardware and Architecture, Software

URI

https://hdl.handle.net/11511/62865

Journal

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

DOI

https://doi.org/10.1016/j.future.2010.12.011

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

A temporal neural network model for constructing connectionist expert system knowledge bases Alpaslan, Ferda Nur (Elsevier BV, 1996-04-01) This paper introduces a temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems. The neural network model has a multi-layer structure, i.e. the number of layers is not limited. Also, the model has the flexibility of defining output nodes in any layer. This is especially important for connectionist expert system applications.
A rational data delivery framework for disaster-inspired internet of nano-things (IoNT) in practice Al-Turjman, Fadi (Springer Science and Business Media LLC, 2019-01-01) In this paper, we put forward a data delivery framework in nano-scale systems, where a number of nanosensors are disseminated over tiny areas such as small objects, plant roots, human bodies and the likes to help in disaster management. For our considered system, data is dispatched from varied subsystems through a nano-router, towards a gateway connected to a much larger system such as the Internet. Consequently, this makes our system suitable to be used for nano-scale disaster-inspired applications in the ...
Efficient active rule processing in wireless multimedia sensor networks Oztarak, Hakan; Akkaya, Kemal; Yazıcı, Adnan; Sarisaray-Boluk, Pinar (Inderscience Publishers, 2016-01-01) Due to limited energy resources in wireless multimedia sensor networks (WMSNs), there is a need to perform data reduction and elimination over raw video data at the camera sensors before transmission. Nonetheless, this data reduction and elimination may create imprecision and uncertainty in the data, reducing the quality of decision making. In this paper, we propose a reactive mechanism for not only fusing uncertain data at the sink but also for automated processing of data using active rules, extending the...
A Cognitive Routing Protocol for Bio-Inspired Networking in the Internet of Nano-Things (IoNT) Al-Turjman, Fadi (Springer Science and Business Media LLC, 2020-10-01) In this paper, we propose a framework for data delivery in nano-scale networks, where numerous wireless sensors are distributed on a human body, small object, tiny plant root, etc. Our framework caters for green energy-efficient applications in the Internet of Nano Things (IoNT) where data is relayed via nano-routers from a multifarious nanonodes towards a gateway connected to a large-scale network such as the Internet. We consider the entire network energy while choosing the next hop for our routed packets...
A systematic study of probabilistic aggregation strategies in swarm robotic systems Soysal, Onur; Şahin, Erol; Department of Computer Engineering (2005) In this study, a systematic analysis of probabilistic aggregation strategies in swarm robotic systems is presented. A generic aggregation behavior is proposed as a combination of four basic behaviors: obstacle avoidance, approach, repel, and wait. The latter three basic behaviors are combined using a three-state finite state machine with two probabilistic transitions among them. Two different metrics were used to compare performance of strategies. Through systematic experiments, how the aggregation performa...

Citation Formats

H. K. Sunercan, M. N. Alpdemir, and F. N. Çiçekli, “A systematic approach to the integration of overlapping partitions in service-oriented data grids,” FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, pp. 667–680, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62865.