Ezilla Cloud Service with Cassandra Database for Sensor Observation System

Authors: Kuo-Yang Cheng, Yi-Lun Pan, Chang-Hsing Wu, His-En Yu, Hui-Shan Chen, Weicheng Huang

Abstract:

The main mission of Ezilla is to provide a friendly interface to access the virtual machine and quickly deploy the high performance computing environment. Ezilla has been developed by Pervasive Computing Team at National Center for High-performance Computing (NCHC). Ezilla integrates the Cloud middleware, virtualization technology, and Web-based Operating System (WebOS) to form a virtual computer in distributed computing environment. In order to upgrade the dataset and speedup, we proposed the sensor observation system to deal with a huge amount of data in the Cassandra database. The sensor observation system is based on the Ezilla to store sensor raw data into distributed database. We adopt the Ezilla Cloud service to create virtual machines and login into virtual machine to deploy the sensor observation system. Integrating the sensor observation system with Ezilla is to quickly deploy experiment environment and access a huge amount of data with distributed database that support the replication mechanism to protect the data security.

Keywords: Cloud, Virtualization, Cassandra, WebOS

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1059589

References:

[1] Ezilla , http://ezilla.info
[2] G. Gu, and X. Lu, "Simple Web OS System Based on Ext Framework and Cloud Computing," IEEE International Forum on Information Technology and Applications, pp. 448-450, 2010.
[3] http://www.chromium.org/chromium-os/
[4] Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, David E. Culler, Joseph M. Hellerstein, and David A, Patterson, "Searching for the Sorting Record: Experiences in Tuning NOW-Sort," The 1998 Symposium on Parallel and Distributed Tools , Welches, Oregon, August 3-4, 1998.
[5] http://osx.portraitofakite.com/logon.htm
[6] http://www.glidedigital.com/
[7] http://www.xindesk.com/
[8] S. Soltesz, H. P¨otzl, M. E. Fiuczynski, A. Bavier, and L. Peterson, "Container-based Operating System Virtualization: A Scalable, High-Performance Alternative to Hypervisors, " Proceedings of ACM SIGOPS/Eurosys European Conf. on Computer Systems, pp. 275-287, Mar, 2007.
[9] D. Price and A. Tucker, "Solaris Zones: Operating Systems Support for Consolidating Commercial Workloads, " Proceedings of 18th Large Installation System Administration Conf., pp. 241-254, Nov, 2004.
[10] B. Zhang, X. Wang, R. Lai, Y. Liang, Z. Wang, Y. Luo, and X. Li, "Evaluating and Optimizing I/O Virtualization in Kernel-based Virtual Machine (KVM)," International Conference on Network and Parallel Computing, pp. 220-231, Zhengzhou, China, September 13-15, 2010.
[11] John Paul, "VMWare ESX Server Workload Analysis: How to Determine Good Candi-dates for Virtualization," 33rd International Computer Measurement Group Conference, pp. 483-484, San Diego, CA, USA, December 2-7, 2007.
[12] X. Ge, H. Jin; S. Wu, X. Shi, W. Gao, "A method of multi-VM automatic network configuration," Intelligent Computing and Intelligent Systems, pp. 309-313, 2009.
[13] http://cassandra.apache.org/
[14] http://wiki.apache.org/cassandra/
[15] Miloji─ìić, D., Llorente, I.M., Montero, R.S, ÔÇÿOpenNebula: A Cloud Management Tool-, Internet Computing, IEEE, pp. 11-14, 2011.
[16] Bolte, M., Sievers M., Birkenheuer, G., Niehorster O., and Brinkmann A. ÔÇÿNon-intrusive Virtualization Management using libvirt-, Design, Automation & Test in Europe Conference & Exhibition (DATE), Dresden, Germany, pp. 574-579, 2010.
[17] Chang-Hsing Wu, Yi-Lun Pan, Hsi-En Yu, Hui-Shan Chen and Weicheng Huang, "Power Saving for Fast Deployment Private Cloud Toolkit - Ezilla with Infrastructure Services", The 2012 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA-12), Las Vegas, Nevada, USA, July 16-19, 2012.