We take here the opportunity to warmly thank all the members of the CLOUD COMPUTING 2015 technical program committee, as well as the numerous reviewers. We were very pleased to receive top quality contributions. The conference had the following tracks: Cloud computing Computing in virtualization-based environments Platforms, infrastructures and applications Challenging features Similar to the previous edition, this event attracted excellent contributions and active participation from all over the world. The technology foundations for cloud computing led to a new approach of reusing what was achieved in GRID computing with support from virtualization. Cloud computing is a normal evolution of distributed computing combined with Service- oriented architecture, leveraging most of the GRID features and Virtualization merits. A complementary target was to identify the open issues and the challenges to fix them, especially on security, privacy, and inter- and intra-clouds protocols. The Sixth International Conference on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2015), held between March 22-27, 2015 in Nice, France, continued a series of events targeted to prospect the applications supported by the new paradigm and validate the techniques and the mechanisms. Finally, by addressing the limitations of current research works, we present some open issues, which will determine the future research direction for the Fog computing paradigm. We also discuss existing research works and gaps in resource allocation and scheduling, fault tolerance, simulation tools, and Fog-based microservices. Next, a taxonomy of Fog computing is proposed by considering the requirements of the Fog computing paradigm. From this, the role of each component will be defined, which will help in the deployment of Fog computing. Then, we investigate numerous proposed Fog computing architecture and describe the components of these architectures in detail. This paper starts with an overview of Fog computing in which the definition of Fog computing, research trends, and the technical differences between Fog and cloud are reviewed. This survey will help the industry and research community synthesize and identify the requirements for Fog computing. Fog computing research is still in its infancy, and taxonomy-based investigation into the requirements of Fog infrastructure, platform, and applications mapped to current research is still required. One of the key challenges in running IoT applications in a Fog computing environment are resource allocation and task scheduling. These Fog devices are located in close proximity to users and are responsible for intermediate computation and storage. In general, in the Fog computing environment, IoT devices are connected to Fog devices. To address this issue, Fog computing, which resides in between cloud and IoT devices, was proposed. However, processing IoT application requests on the cloud exclusively is not an efficient solution for some IoT applications, especially time-sensitive ones. Data generated from IoT devices are generally processed in a cloud infrastructure because of the on-demand services and scalability features of the cloud computing paradigm. In IoT environments, connected things generate a huge amount of data, which are generally referred to as big data. Emerging technologies like the Internet of Things (IoT) require latency-aware computation for real-time application processing.
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