Toward a New Massively Distributed Virtual Machine based Cloud Micro-Services Team Model for HPC: SPMD Applications
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 8
Abstract
This paper aims to propose a new massively distributed virtual machine with scalable and efficient parallel computing models for High Performance Computing (HPC). The message passing paradigm of the Processing Units has a significant impact on HPC with high communication cost that penalizes the performance of these models. Accordingly, the proposed micro-services model allows the HPC applications to enhance the processing power with low communication cost. Thus, the model based Micro-services Virtual Processing Units (MsVPUs) cooperate using asynchronous communication mechanism through the Advanced Message Queuing Protocol (AMQP) protocol in order to maintain the scalability of the Single Program Multiple Data (SPMD) applications. Additionally, this mechanism enhances also the efficiency of the model based load balancing service with time optimized load balancing strategy. The proposed virtual machine is tested and validated through an application of fine grained parallel programs for big data classification. Experimental results present reduced execution time compared to the virtual machine based mobile agent’s model.
Authors and Affiliations
Fatéma Zahra Benchara, Mohamed Youssfi, Omar Bouattane, Ouafae Serrar, Hassan Ouajji
Keywords
Related Articles
- EP ID EP260435
- DOI 10.14569/IJACSA.2017.080831
- Views 97
- Downloads 0
A Features-based Comparative Study of the State-of-the-art Cloud Computing Simulators and Future Directions
Cloud computing has emerged during the last decade and turned out to be an essential component for today’s business. Therefore, many solutions are being proposed to optimize and secure the cloud computing environment. To...
Optimal Network Design for Consensus Formation: Wisdom of Networked Agents
The wisdom of crowds refers to the phenomenon in which the collective knowledge of a community is greater than the knowledge of any individual. This paper proposes a network design for the fastest and slowest consensus f...
Amharic based Knowledge-Based System for Diagnosis and Treatment of Chronic Kidney Disease using Machine Learning
Chronic kidney disease is an important challenge for health systems around the world and consuming a huge proportion of health care finances. Around 85% of the world populations live in developing country of the world, w...
Image and Video based double watermark extraction spread spectrum watermarking in low variance region
Digital watermarking plays a very important role in copyright protection. It is one of the techniques which are used for safeguarding the origins of the image, audio and video by protecting it against Piracy. This paper...
Augmented Reality App for Teaching OOP
Now a days, there is demanding needs of developing interactive mediums of study. As our conventional methods of learning are not very effective. Programming has become one of the core subjects of every field of study due...