Open AccessAlgorithm for Greening Big Data Networks in Iraq Under Veracity Dimension
Author(s) -
Howraa M. Mohammad Ali,
Muayad Kod,
Ali M. Al-Salim,
Caesar Al-Amiri
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/671/1/012052
Subject(s) - backup , big data , computer science , server , data processing , dimension (graph theory) , computer network , troubleshooting , data mining , database , operating system , mathematics , pure mathematics
This work examines ways to improve energy efficiency in big data networks in Iraq under the veracity dimension by designing an IP/WDM Network in Iraq for processing big data and developing an algorithm that condenses the distinctive features of veracity. The analysis is based on preparing big data chunks for progressive processing after performing cleansing operations as proposed in this work. This is done in Processing Nodes (PNs) that consist of several servers and their associated network equipment, such as switches and routers. The PNs are distributed in the network for each city, and the cleansed data is handled at each PN, reducing the size of valuable data to be transmitted. Each cleansed chunk is also stored in a Backup Node (BN) for future use. Around a 50% power saving is achieved using this technique compared to the traditional method with no progressive processing.