Big Data’s Biggest Problem: Load Imbalancing

Autor: Devendra K. Tayal, Kanak Meena
Rok vydání: 2018
Předmět:
Zdroj: Proceedings of 2nd International Conference on Communication, Computing and Networking ISBN: 9789811312168
DOI: 10.1007/978-981-13-1217-5_92
Popis: Uneven distribution of data between the nodes causes the data skewness problem. Due to this problem, various problems occur during the processing. So, this paper presents the brief analysis of the existing techniques related to load imbalancing with their pros and cons. Also, types of data skewness have been discussed in this paper.
Databáze: OpenAIRE