Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity

Data traffic demand increases at a very fast pace in edge networking environments, with strict requisites on latency and throughput. To fulfil these requirements, among others, this paper proposes a fog storage system that incorporates mobile nodes as content providers. This fog storage system has a hybrid design because it does not only bring data closer to edge consumers but, as a novelty, it also incorporates in the system other relevant functional aspects. These novel aspects are the user data demand, the energy consumption, and the node distance. In this way, the decision whether to replicate data is based on an original edge service managed by an adaptive distance metric for node clustering. The adaptive distance is evaluated from several important system parameters like, distance from consumer to the data storage location, spatio-temporal data popularity, and the autonomy of each battery-powered node. Testbed results evidence that this flexible cluster-based proposal offers a more responsive data access to consumers, reduces core traffic, and depletes in a fair way the available battery energy of edge nodes.info:eu-repo/semantics/acceptedVersio

The Emergence of AI and IoT on Cloud Computing: Evolution, Technology, Future Research and Challenges

Cloud computing is being widely promoted as the following paradigms and business solutions to the problems that most enterprise Information Technology (IT). Today it plays an important role in modern society and allows a wide range of applications from the infrastructure of social networks such system must cope with the increasing use of various loads and reflects the dependence of the interaction and community automated computer systems while the satisfactory quality of service (QoS) guarantees. Cloud computing is beneficial to the owner of the company, as it eliminates the need for operators to plan ahead for the provision of resources, enabling organizations to start small and increase the resource only if there is an increased demand for services. To understand the current and future challenges of a system of this type, there is a need to identify the key technology for future applications. This work aims to study the history of computing and identify how the use of Artificial intelligence (AI) and Internet of things (IoT) influence cloud computing in order to solve complex problems in the next generation of computing. In addition, the influence of new paradigms and technologies on Cloud Computing were identified and discussed with future research opportunities and an open challenge stand out. Furthermore, this article also provides a conceptual model for cloud futurologist to explore the influence that paradigms and emerging technologies to the evolution of cloud computing are proposed. Keywords: Cloud Computing; Paradigm; Information Technology; Internet of Things; Artificial Intelligence; Quality of Service. DOI: 10.7176/CEIS/10-7-03 Publication date: November 30th 201

Game theory for cooperation in multi-access edge computing

Cooperative strategies amongst network players can improve network performance and spectrum utilization in future networking environments. Game Theory is very suitable for these emerging scenarios, since it models high-complex interactions among distributed decision makers. It also finds the more convenient management policies for the diverse players (e.g., content providers, cloud providers, edge providers, brokers, network providers, or users). These management policies optimize the performance of the overall network infrastructure with a fair utilization of their resources. This chapter discusses relevant theoretical models that enable cooperation amongst the players in distinct ways through, namely, pricing or reputation. In addition, the authors highlight open problems, such as the lack of proper models for dynamic and incomplete information scenarios. These upcoming scenarios are associated to computing and storage at the network edge, as well as, the deployment of large-scale IoT systems. The chapter finalizes by discussing a business model for future networks.info:eu-repo/semantics/acceptedVersio

Transformative Effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing: Evolution, Vision, Trends and Open Challenges

Cloud computing plays a critical role in modern society and enables a range of applications from infrastructure to social media. Such system must cope with varying load and evolving usage reflecting societies’ interaction and dependency on automated computing systems whilst satisfying Quality of Service (QoS) guarantees. Enabling these systems are a cohort of conceptual technologies, synthesised to meet demand of evolving computing applications. In order to understand current and future challenges of such system, there is a need to identify key technologies enabling future applications. In this study, we aim to explore how three emerging paradigms (Blockchain, IoT and Artificial Intelligence) will influence future cloud computing systems. Further, we identify several technologies driving these paradigms and invite international experts to discuss the current status and future directions of cloud computing. Finally, we proposed a conceptual model for cloud futurology to explore the influence of emerging paradigms and technologies on evolution of cloud computing