PERFORMANCE ANALYSIS OF PARALLEL COMPUTING ARCHITECTURE USING HADOOP FRAMEWORK

Nguyen Minh Quy; Ho Khanh Lam; Nguyen Xuan Truong; Nguyen Dinh Han; Nguyen Van Hau; Do Anh Tuan; Pham Quoc Hung

Nguyen Minh Quy Hung Yen University of Technology and Education
Ho Khanh Lam Hung Yen University of Technology and Education
Nguyen Xuan Truong Hung Yen University of Technology and Education
Nguyen Dinh Han Hung Yen University of Technology and Education
Nguyen Van Hau Hung Yen University of Technology and Education
Do Anh Tuan Hung Yen University of Technology and Education
Pham Quoc Hung Hung Yen University of Technology and Education

Abstract

Parallel computing architecture based on PC cluster systems using Hadoop Framework in the past few years received great attention because of the computing power and expansion of the system is quite favorable and easy, especially is in handling extremely large data amounting to Tera-bytes or even Peta-bytes. However, the performance of this architecture depends on many factors, such as installing algorithm, HiveQL queries optimization, cluster architectures, etc ... This paper proposes solutions using parallel computing architecture Hive on Hadoop Framework for processing network packet flows in order to detect the presence of viruses and analyzed and givea number of solutions to improve performance of the computing system.

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