Title :
Rationing data updates with consistency considerations in distributed systems
Author :
Zeineddine, Hassan ; Bazzi, Wael
Author_Institution :
American Univ. in Dubai, Dubai, United Arab Emirates
Abstract :
In this paper, we focus on reducing bandwidth utilization and processing cost by minimizing the amount of internal data updates in a distributed data system. The considered system can be a distributed database, a mobile application, or a communication protocol. Our essential approach is to rely on frequent internal updates instead of immediate change notifications to synchronize inter-dependent data units spread across a distributed system. Postponing updates would cause the recorded data to be inconsistent with reality. In our approach, inconsistency with reality is an option; however, data synchronization is a must. Users or external clients can either read consistent data after a limited delay in response time, or inconsistent data with no delay. Consistency with reality is probabilistically assessed to reflect the possibility of reading consistent or inconsistent information.
Keywords :
cost reduction; data integrity; distributed processing; probability; bandwidth utilization reduction; communication protocol; consistent information; data consistency; distributed data system; distributed database; inconsistent information; interdependent data unit synchronization; internal data updates; mobile application; processing cost reduction; Bandwidth; Context; Data models; Data structures; Delay; Distributed databases; Synchronization; consistency; data field; dependency; distributed system; system update;
Conference_Titel :
Networks (ICON), 2011 17th IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-1824-3
DOI :
10.1109/ICON.2011.6168469