Since the phenomenon of cloud computing was proposed, there is an unceasing interest for research across the globe. Cloud computing has been seen as unitary of the technology that poses the next-generation computing revolution and rapidly becomes the hottest topic in the field of IT. This fast move towards Cloud computing has fuelled concerns on a fundamental point for the success of information systems, communication, virtualization, data availability and integrity, public auditing, scientific application, and information security. Therefore, cloud computing research has attracted tremendous interest in recent years. In this paper, we aim to precise the current open challenges and issues of Cloud computing. We have discussed the paper in three-fold: first we discuss the cloud computing architecture and the numerous services it offered. Secondly we highlight several security issues in cloud computing based on its service layer. Then we identify several open challenges from the Cloud computing adoption perspective and its future implications. Finally, we highlight the available platforms in the current era for cloud research and development.
The revolution in high-speed broadband network is the requirement of the current time, in other words here is an unceasing demand for high data rate and mobility. Both provider and customer see, the long time evolution (LTE) could be the promising technology for providing broadband, mobile Internet access. To provide better quality of service (QoS) to customers, the resources must be utilized at its fullest impeccable way. Resource scheduling is one of the important functions for remanufacturing or upgrading system performance. This paper studies the recently proposed packet scheduling schemes for LTE systems. The study has been concentrated in implication to real-time services such as online video streaming and Voice over Internet Protocol (VOIP). For performance study, the LTESim simulator is used. The primary objective of this paper is to provide results that will help researchers to design more efficient scheduling schemes, aiming to get better overall system performance. For the simulation study, two scenarios, one for video traffic and other for VoIP have been created. Various performances metric such as packet loss, fairness, end-to-end (E2E) delay, cell throughput and spectral efficiency has been measured for both the scenarios varying numbers of users. In the light of the simulation result analysis, the frame level scheduler (FLS) algorithms outperform other, by balancing the QoS requirements for multimedia services.
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