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Authors: Idrissa Sarr 1 ; Hubert Naacke 2 and Ibrahima Gueye 3

Affiliations: 1 Université Cheikh Anta Diop, Senegal ; 2 UPMC Sorbonne Universités, France ; 3 University Cheikh Anta Diop of Dakar, France

Keyword(s): Transaction Processing, Load-aware Query Routing, Data Consistency.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Databases and Data Security ; Databases and Information Systems Integration ; Enterprise Information Systems ; Large Scale Databases ; Query Processing and Optimization

Abstract: The goal of this work in progress is to handle transactions of social applications by using their access classes. Basically, social users access simultaneously to a small piece of data owned by a user or a few ones. For instance, a new post of a Facebook user can create the reactions of most of his/her friends, and each of such reactions is related to the same data. Thus, grouping or chaining transactions that require the same access classes may reduce significantly the response time since several transactions are executed in one shot while ensuring consistency as well as minimizing the number of access to the persistent data storage. With this insight, we propose a middleware-based transaction scheduler that uses various strategies to chain transactions based on their access classes. The key novelties lie in (1) our distributed transaction scheduling devised on top of a ring to ensure communication when chaining transactions and (2) our ability to deal with multi-partitions transact ions. The scheduling phase is based on Blockchain principle, which means in our context to record all transactions requiring the same access class into a master list in order to ensure consistency and to plan efficiently their processing. We designed and simulated our approach using SimJava and preliminary results show interesting and promising results. (More)


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Paper citation in several formats:
Sarr, I.; Naacke, H. and Gueye, I. (2015). Blockchain-based Model for Social Transactions Processing. In Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA, ISBN 978-989-758-103-8; ISSN 2184-285X, pages 309-315. DOI: 10.5220/0005519503090315

author={Idrissa Sarr. and Hubert Naacke. and Ibrahima Gueye.},
title={Blockchain-based Model for Social Transactions Processing},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA,},


JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA,
TI - Blockchain-based Model for Social Transactions Processing
SN - 978-989-758-103-8
IS - 2184-285X
AU - Sarr, I.
AU - Naacke, H.
AU - Gueye, I.
PY - 2015
SP - 309
EP - 315
DO - 10.5220/0005519503090315