S4 Applications Simulator for Performance Evaluation

Big Data is now a widely studied concept in the field of massive processing of information, but testing systems and applications in this field is a difficult task, because the real environments to be used are of a large scale and many times impossible to reproduce. Usually, for this task executions in virtual settings, called simulations, are used. The present article presents a simulator for applications developed to be executed on the Apache S4 distributed computing platform for multiple hardware and software scenarios. A version in which mobile devices as well as processing units are used is proposed. The results show that the simulator without mobile devices gets good prediction performance results considering the processing and communication times between the elements of the S4 applications, and the other version with mobile systems shows a decrease in performance in different simulation configurations. However, adding replication in the elements that are communicated with the cellphones has shown substantial improvements in the application's performance.

[1]  Qiang Chen,et al.  Aurora : a new model and architecture for data stream management ) , 2006 .

[2]  Jignesh M. Patel,et al.  Storm@twitter , 2014, SIGMOD Conference.

[3]  Injong Rhee,et al.  On the levy-walk nature of human mobility , 2011, TNET.

[4]  Leonardo Neumeyer,et al.  S4: Distributed Stream Computing Platform , 2010, 2010 IEEE International Conference on Data Mining Workshops.

[5]  Shang-Juh Kao,et al.  A moving direction prediction-assisted handover scheme in LTE networks , 2014, EURASIP J. Wirel. Commun. Netw..

[6]  Yuvraj Singh,et al.  Comparison of Okumura, Hata and COST-231 Models on the Basis of Path Loss and Signal Strength , 2012 .

[7]  Ignas G. Niemegeers,et al.  A Survey on Handoffs — Lessons for 60 GHz Based Wireless Systems , 2012, IEEE Communications Surveys & Tutorials.

[8]  Sanjay Ghemawat,et al.  MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.

[9]  A. M. Edwards,et al.  Assessing Lévy walks as models of animal foraging , 2011, Journal of The Royal Society Interface.

[10]  Kumbesan Sandrasegaran,et al.  Optimized Performance Evaluation of LTE Hard Handover Algorithm with Average RSRP Constraint , 2011, ArXiv.

[11]  Injong Rhee,et al.  SLAW: A New Mobility Model for Human Walks , 2009, IEEE INFOCOM 2009.

[12]  Ying Xing,et al.  The Design of the Borealis Stream Processing Engine , 2005, CIDR.

[13]  Wenfei Fan,et al.  Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data , 2014 .