IIUM Repository

Toward heterogeneous computing to facilitate sequential OLAP real-time applications

Hameed, Shihab A. and Habaebi, Mohamed Hadi and Alzeini, Haytham I. M. (2016) Toward heterogeneous computing to facilitate sequential OLAP real-time applications. In: 6th International Conference on Computer and Communication Engineering (ICCCE 2016), 25th-27th July 2016, Kuala Lumpur.

[img] PDF
Restricted to Registered users only

Download (1MB) | Request a copy
[img] PDF (SCOPUS)
Restricted to Registered users only

Download (146kB) | Request a copy

Abstract

Over the last decade, due to the need of analyzing and studying the logical order that data exhibit in various industries, sequential data storage and processing field has attracted a significant number of researchers. Recently, sequential OLAP has emerged as one of sequential data subfields whereby traditional OLAP - which mainly utilizes a set data-based analysis, do not satisfy the hunger of performing pattern-based operations and time-based analysis. Such analyses can provide an insightful perspective and reveal hidden correlations among events patterns through time. Therefore, extended query languages, new OLAP cube models and optimized algorithms and infrastructures have been introduced. However, the ever grown data size has always been deemed a major hurdle in the way of fully taking advantage of this data. In this context, and based on our proposed optimized heterogeneous Rabin-Karp algorithm earlier, we suggest a high performance sequential pattern detection approach that works in harmony Sequential OLAP processing requirements. The optimized algorithm is dedicated to detect patterns over parallel data streams in Real-Time. The empirical results have shown more than ten times speedup over the multi-core version.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 4428/54579
Uncontrolled Keywords: S-OLAP, heterogeneous computing, Rabin-Karp, data mining, pattern recognition.
Subjects: T Technology > T Technology (General)
T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.5 Information technology
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof Shihab Hameed
Date Deposited: 08 Feb 2017 11:31
Last Modified: 23 May 2017 16:19
URI: http://irep.iium.edu.my/id/eprint/54579

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year