Services Enhancing Usage of Large Equipments in a Private Cloud

Abstract

Large equipments are important research resources in colleges and universities, while the efficiently use into scientific research is a key issue. Few equipment management information systems (MIS) are built nowadays, even in areas like equipment reservation. Existing systems are geo-diverse and hard to be integrated, thus services that could enhance the usage of large equipments is needed. Cloud computing has SOA architecture based on the pay-for-use model, the underlying infrastructure is suited for highly distributed environments. This paper introduces China Equipment and Education Resource System (CERS), and proposes a system named LECloud (Large Equipments Cloud) based on a private cloud, providing large equipment information service and equipment knowledge service as an e-learning platform. It's a highly heterogeneous and geo-distributed system that provides on-demand services. We drew up standards for interfaces and realized the business integration for large equipment usage. We also designed a cloud management framework along with an effective scheduling strategy, aiming to provide better services to scientific researchers in SaaS level.