Journal ArticleDOI
Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services
TLDR
An energy-efficient adaptive resource scheduler for Networked Fog Centers (NetFCs) that is capable to provide hard QoS guarantees, in terms of minimum/maximum instantaneous rates of the traffic delivered to the vehicular clients, instantaneous rate-jitters and total processing delays is proposed and tested.Abstract:
Providing real-time cloud services to Vehicular Clients (VCs) must cope with delay and delay-jitter issues. Fog computing is an emerging paradigm that aims at distributing small-size self-powered data centers (e.g., Fog nodes) between remote Clouds and VCs, in order to deliver data-dissemination real-time services to the connected VCs. Motivated by these considerations, in this paper, we propose and test an energy-efficient adaptive resource scheduler for Networked Fog Centers (NetFCs). They operate at the edge of the vehicular network and are connected to the served VCs through Infrastructure-to-Vehicular (I2V) TCP/IP-based single-hop mobile links. The goal is to exploit the locally measured states of the TCP/IP connections, in order to maximize the overall communication-plus-computing energy efficiency, while meeting the application-induced hard QoS requirements on the minimum transmission rates, maximum delays and delay-jitters. The resulting energy-efficient scheduler jointly performs: (i) admission control of the input traffic to be processed by the NetFCs; (ii) minimum-energy dispatching of the admitted traffic; (iii) adaptive reconfiguration and consolidation of the Virtual Machines (VMs) hosted by the NetFCs; and, (iv) adaptive control of the traffic injected into the TCP/IP mobile connections. The salient features of the proposed scheduler are that: (i) it is adaptive and admits distributed and scalable implementation; and, (ii) it is capable to provide hard QoS guarantees, in terms of minimum/maximum instantaneous rates of the traffic delivered to the vehicular clients, instantaneous rate-jitters and total processing delays. Actual performance of the proposed scheduler in the presence of: (i) client mobility; (ii) wireless fading; and, (iii) reconfiguration and consolidation costs of the underlying NetFCs, is numerically tested and compared against the corresponding ones of some state-of-the-art schedulers, under both synthetically generated and measured real-world workload traces.read more
Citations
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Where Is Current Research on Blockchain Technology?-A Systematic Review.
TL;DR: The objective is to understand the current research topics, challenges and future directions regarding Blockchain technology from the technical perspective, and recommendations on future research directions are provided for researchers.
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Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
Mithun Mukherjee,Lei Shu,Di Wang +2 more
TL;DR: This survey starts by providing an overview and fundamental of fog computing architecture, and provides an extensive overview of state-of-the-art network applications and major research aspects to design these networks.
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Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems
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Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study
Enzo Baccarelli,Paola G. Vinueza Naranjo,Michele Scarpiniti,Mohammad Shojafar,Jemal H. Abawajy +4 more
TL;DR: It is pointed out that the integration of the FC and IoE paradigms may give rise to opportunities for new applications in the realms of the IoE, Smart City, Industry 4.0, and Big Data Streaming while introducing new open issues.
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P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks
TL;DR: A modified Stable Election Protocol (SEP), named Prolong-SEP (P- SEP) is presented to prolong the stable period of Fog-supported sensor networks by maintaining balanced energy consumption.
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