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Although Fog computing specifies a scalable architecture for computation, communication and storage, there is still a demand for better Quality of Service (QoS), especially for agile mobile services. Both industry and academia have been working on novel and efficient mechanisms for QoS provisioning in Fog computing. This paper presents a classification of services according to their QoS requirements...
More and more real-time IoT applications such as smart cities or autonomous vehicles require big data analytics with reduced latencies. However, data streams produced from distributed sensing devices may not suffice to be processed traditionally in the remote cloud due to: (i) longer Wide Area Network (WAN) latencies and (ii) limited resources held by a single Cloud. To solve this problem, a novel...
The evolution of Cloud Computing beyond the frontier of a single datacenter is justified as a mean to enhance various system architecture aspects like: cost, geo-locality, energy efficiency and structural properties. Orchestration of different cloud providers in order to ensure better Quality of Service (QoS) is refered to as Multi-Cloud. One such multi-cloud federation model is Community Clouds,...
Campuses are increasingly adopting hybrid cloud architectures for supporting data-intensive science applications that require “on-demand” resources, which are not always available locally on-site. Policies at the campus edge for handling multiple such applications competing for remote resources can cause bottlenecks across applications. These bottlenecks can be proactively avoided with pertinent profiling,...
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