Abstract
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).
Highlights
To enable more efficient information technology systems, cloud computing has been introduced to corporations, schools, and public organizations
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
XML-based metadata are defined for computing and storage services using on-premise resources, which are used to provide resource performance information and clustering techniques based on distance for integrated resource management
Summary
To enable more efficient information technology systems, cloud computing has been introduced to corporations, schools, and public organizations. The only solution to this problem, is to discard surplus resources, which are connected to traditional on-premise systems, or to introduce virtualization technology for all surplus resources The latter solution drastically increases the cost of cloud computing [9,10,11,12,13,14,15,16,17,18,19]. XML-based metadata are defined for computing and storage services using on-premise resources, which are used to provide resource performance information and clustering techniques based on distance for integrated resource management. The results showed improvements in computing and storage services for the connection of at least two computers compared to the traditional method for high-availability measurements of nondisruptive services. It was compared to the Hadoop distributed file system (HDFS)
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