Latency minimization is a pivotal aspect in provision of real time services while adhering to Quality of Experience (QoE) parameters for assuring spectral efficiency. Edge Cloud Computing, being a potential research dimension in the realm of 5G networks, targets to enhance the network efficiency by harnessing effectiveness of both cloud computing and mobile devices in user's proximity. Keeping in view the far ranging impact of Edge Cloud Computing in future mobile generations, a comprehensive review of the prevalent Edge Cloud Computing frameworks and approaches is presented with a detailed comparison of its classifications through various QoS metrics (pertinent to network performance and overheads associated with deployment/migration). Considering the knowledge accumulated, procedures analysed and theories discussed, the paper provides a comprehensive overview on sate-of-the-art and future research directions for multi-access mobile edge computing.
Recently, cloud computing has been recognized as effective computing model, being adopted by both large corporations as well as SMEs (Small and Medium Enterprises). Due to its on-demand provisioning nature number of cloud based services are growing gradually and rapidly. The availability of open-source cloud computing platforms plays a vital role to enable researchers to go beyond state of the art for development of cloud applications. In this paper, we have provided an overview of cloud computing along with its services. We have presented a comparative performance analysis of different cloud IaaS platforms while covering different aspects of their application and service models. We have also proposed cloud test-bed using open-source cloud platform. A comparative performance analysis of open-source cloud platforms will assist researchers to select an appropriate tool to validate their research and experimentation.
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