Next Article in Journal
Prognosis Essay Scoring and Article Relevancy Using Multi-Text Features and Machine Learning
Next Article in Special Issue
Iterative Speedup by Utilizing Symmetric Data in Pricing Options with Two Risky Assets
Previous Article in Journal
Improved Asymmetric Cipher Based on Matrix Power Function with Provable Security
Previous Article in Special Issue
Unmanned Aerial Vehicle Flight Point Classification Algorithm Based on Symmetric Big Data
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Symmetry 2017, 9(1), 8; doi:10.3390/sym9010008

DIaaS: Resource Management System for the Intra-Cloud with On-Premise Desktops

Department of Multimedia Engineering, Dongguk University, Seoul 04620, Korea
Department of Construction legal Affairs, The Graduate School of Construction Legal Affairs, Kwangwoon University, Seoul 01897, Korea
Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
Authors to whom correspondence should be addressed.
Academic Editor: Doo-Soon Park
Received: 24 November 2016 / Revised: 26 December 2016 / Accepted: 4 January 2017 / Published: 9 January 2017
(This article belongs to the Special Issue Scientific Programming in Practical Symmetric Big Data)
View Full-Text   |   Download PDF [7369 KB, uploaded 9 January 2017]   |  


Infrastructure as a service with desktops (DIaaS) based on the extensible mark-up language (XML) is herein proposed to utilize surplus resources. DIaaS is a traditional surplus-resource integrated management technology. It is designed to provide fast work distribution and computing services based on user service requests as well as storage services through desktop-based distributed computing and storage resource integration. DIaaS includes a nondisruptive resource service and an auto-scalable scheme to enhance the availability and scalability of intra-cloud computing resources. A performance evaluation of the proposed scheme measured the clustering performance time for surplus resource utilization. The results showed improvement in computing and storage services in a connection of at least two computers compared to the traditional method for high-availability measurement of nondisruptive services. Furthermore, an artificial server error environment was used to create a clustering delay for computing and storage services and for nondisruptive services. It was compared to the Hadoop distributed file system (HDFS). View Full-Text
Keywords: resource management; dynamic scheduling; scalability; availability; intra-cloud; infrastructure as a service; cloud computing resource management; dynamic scheduling; scalability; availability; intra-cloud; infrastructure as a service; cloud computing

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Kim, H.-W.; Han, J.; Park, J.H.; Jeong, Y.-S. DIaaS: Resource Management System for the Intra-Cloud with On-Premise Desktops. Symmetry 2017, 9, 8.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Symmetry EISSN 2073-8994 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top