Auto-Scaling Approach for Cloud based Mobile Learning Applications

A Resource Management Protocol for Mobile Cloud Using Auto-Scaling

Cloud radio access network (C-RAN) and Mobile Cloud Computing (MCC) have emerged as promising candidates for the next generation access network techniques. MCC offers resource limited mobile devices to offload computationally intensive tasks to the cloud, while C-RAN offers a technology that addresses increasing mobile traffic. In this paper, we propose a protocol that allows task offloading an...

Auto-scaling Techniques for Elastic Applications in Cloud Environments

Auto-Scaling Model for Cloud Computing System

Recently, Cloud Computing introduces some new concepts that entirely change the way applications are built and deployed. Usually, Cloud systems rely on virtualization techniques to allocate computing resources on demand. Thus, scalability is a critical issue to the success of enterprises involved in doing business on the cloud. In this paper, we will describe the novel virtual cluster architect...

Cloud-Based Mobile Learning

As the cloud technologies are largely studied and mobile technologies are evolving, new directions for development of mobile learning tools deployed on cloud are proposed.. MLearning is treated as part of the ubiquitous learning paradigm and is a pervasive extension of E-Learning technologies. Development of such learning tools requires specific development strategies for an effective abstracti...

Analyzing auto-scaling issues in cloud environments

 Cloud computing is becoming increasingly widespread and sophisticated. A key feature of cloud computing is elasticity, which allows the provisioning and de-provisioning of computing resources on demand, via auto-scaling. Auto-scaling techniques are diverse, and involve various components at the infrastructure, platform and software levels. Auto-scaling also overlaps with other quality attribu...