Skip to Main content Skip to Navigation
Conference papers

STRING: Social-Transaction Routing over a Ring

Idrissa Sarr Hubert Naacke 1 Abderrahmane O. M. Moctar 
1 BD - Bases de Données
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : A key requirement for social applications is to support fluid interactions among users. Basically, social applications deal with user-oriented data: users own their data and may access or modify data owned by others (say their friends). Therefore, several users may focus simultaneously on a small piece of data (hot data) owned by the same user. Such a situation, more known as a net effect, has the drawback to generate temporal peak loads able to slow user interactions. Moreover, a social application inherently generates multi-node (or multi-partition) transactions as far as users interact between them. Based on those observations, we propose String, a transaction scheduling layer that uses various strategies to order (or group) transactions based on their access classes. String reduces significantly the overhead cost of processing one transaction at a time while allowing to process rare multi-nodes transactions in en efficient way. The key novelties lie in (1) our distributed transaction scheduling devised on top of a ring to ease communication and (2) our ability to absorb peak loads as early as possible by splitting the transaction processing in two phases: a scheduling phase, resilient to peak load, followed by a group execution phase. We designed and simulated String using SimJava and we ran a series of experiments. Compared with some existing solutions, String shows interesting and promising results.
Document type :
Conference papers
Complete list of metadata
Contributor : Lip6 Publications Connect in order to contact the contributor
Submitted on : Friday, October 16, 2015 - 3:01:41 PM
Last modification on : Sunday, June 26, 2022 - 9:49:50 AM

Links full text



Idrissa Sarr, Hubert Naacke, Abderrahmane O. M. Moctar. STRING: Social-Transaction Routing over a Ring. International Conference on Database and Expert Systems Applications (DEXA), Aug 2013, Prague, Czech Republic. pp.319-333, ⟨10.1007/978-3-642-40173-2_26⟩. ⟨hal-01216595⟩



Record views