BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing

  • Authors:

  • Bo Dong;Qinghua Zheng;Mu Qiao;Jian Shu;Jie Yang

  • Affiliations:

  • MOE KLINNS Lab and SKLMS Lab, Xi'an Jiaotong University, China and Department of Computer Science and Technology, Xi'an Jiaotong University, China;MOE KLINNS Lab and SKLMS Lab, Xi'an Jiaotong University, China and Department of Computer Science and Technology, Xi'an Jiaotong University, China;MOE KLINNS Lab and SKLMS Lab, Xi'an Jiaotong University, China and Department of Computer Science and Technology, Xi'an Jiaotong University, China;IBM China Software Development Lab, China;MOE KLINNS Lab and SKLMS Lab, Xi'an Jiaotong University, China and Department of Computer Science and Technology, Xi'an Jiaotong University, China

  • Venue:
  • CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Currently, E-Learning has grown into a widely accepted way of learning. With the huge growth of users, services, education contents and resources, E-Learning systems are facing challenges of optimizing resource allocations, dealing with dynamic concurrency demands, handling rapid storage growth requirements and cost controlling. In this paper, an E-Learning framework based on cloud computing is presented, namely BlueSky cloud framework. Particularly, the architecture and core components of BlueSky cloud framework are introduced. In BlueSky cloud framework, physical machines are virtualized, and allocated on demand for E-Learning systems. Moreover, BlueSky cloud framework combines with traditional middleware functions (such as load balancing and data caching) to serve for E-Learning systems as a general architecture. It delivers reliable, scalable and cost-efficient services to E-Learning systems, and E-Learning organizations can establish systems through these services in a simple way. BlueSky cloud framework solves the challenges faced by E-Learning, and improves the performance, availability and scalability of E-Learning systems.