Cloud computing systems promise to offer pay per use, on demand computing services to users worldwide. Recently, there has been a dramatic increase in the demand for delivering services to a large number of users, so they need to offer differentiate d services to users and meet their expected quality requirements. Most of scheduling schemes proceeding nowadays have no QoS (Quality of Service) differentiation, which is necessary for Cloud Computing service operation. As a cloud must provide services to many users at the same time and different users have different QoS requirements, the scheduling schemes should be developed having different QoS requirements. So, this paper explores various methods of task scheduling done in cloud computing. Real-time applications play a significant role in cloud environment. We have examine the particular scheduling algorithms for real -time tasks, that is, priority-based strategies.The purpose of this paper is to discuss the fixed priority preemptive task scheduling algorithms in cloud computing for improving the QoS parameters.

Cloud based mobile learning (m-learning) is emerging as one of the most important branches of cloud computing, and is still in its infancy. These days, there are two emerging archetypes in Information and Communication Technologies (ICT) for learning. The first one is the anytime, anywhere, on-the-move, to be called the mobility archetype, and the second one is the cloud computing. Both archetypes are radically transforming the way we learn, communicate, access, and utilize information resources, and connect with peers and colleagues, thus affecting all aspects of education. This chapter delivers an introduction of the evolution of cloud based m-learning, benefits and characteristics of cloud based m-learning. It also canvasses the current scenario of m-learning utilizing the cloud, various challenges for implementing the m-learning system on the cloud. It further confers technologies used for cloud based m-learning. It also considers a brief look at methods for creating m-learning content and experiences, suggested by various researchers and concluded with the future aspects of the cloud based m-learning.

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Cloud based mobile learning (m-learning) is emerging as one of the most important branches of cloud computing, and is still in its infancy. These days, there are two emerging archetypes in Information and Communication Technologies (ICT) for learning. The first one is the anytime, anywhere, on-the-move, to be called the mobility archetype, and the second one is the cloud computing. Both archetypes are radically transforming the way we learn, communicate, access, and utilize information resources, and connect with peers and colleagues, thus affecting all aspects of education. This chapter delivers an introduction of the evolution of cloud based m-learning, benefits and characteristics of cloud based m-learning. It also canvasses the current scenario of m-learning utilizing the cloud, various challenges for implementing the m-learning system on the cloud. It further confers technologies used for cloud based m-learning. It also considers a brief look at methods for creating m-learning content and experiences, suggested by various researchers and concluded with the future aspects of the cloud based m-learning.