Distributed networked emergency evacuation and rescue

Gelenbe, Erol; Wu, Fang–Jing

doi:10.1109/icc.2012.6364740

Cited by 4 publications

(3 citation statements)

References 48 publications

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“…However, Erol's concern for energy consumption for communications actually started a decade earlier [52,114] in the context of Wireless Ad-Hoc Networks, when he contributed a technique to extend overall life of a multi-hop network by using paths that have the most energy in reserve, that is, the most full batteries. This work was pursued in papers related to network routing and admission control based on energy considerations [128,130,135,136,152,153,162,201] and this resulted in a practical design for an energy aware routing protocol. His research group's involvement with energy consumption in information technology was also developed through their participation in EU Fit4Green Project which resulted in a widely cited paper [17] regarding the energy optimization of Cloud Computing servers and of software systems [193]…”

Section: Energy In Ict and Its Optimizationmentioning

confidence: 99%

“…This work was pursued in papers related to network routing and admission control based on energy considerations [128,130,135,136,152,153,162,201] and this resulted in a practical design for an energy aware routing protocol. His research group's involvement with energy consumption in information technology was also developed through their participation in EU Fit4Green Project which resulted in a widely cited paper [17] regarding the energy optimization of Cloud Computing servers and of software systems [193] …”

Section: Energy In Ict and Its Optimizationmentioning

confidence: 99%

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Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Caglayan¹

2016

Prob. Eng. Inf. Sci.

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We focus on Erol Gelenbe's scientific and technical contributions to probability models in the computer and information sciences, but limit our survey to the last fifteen years. We start with a brief overview of his work as a single author, as well as his work in collaboration with over 200 co-authors. We discuss some of his recent and innovative work regarding a new probability model that represents Intermittent Energy Sources for Computing and Communications, introducing Energy Packet Networks which are a probabilistic representation of the flow, storage and consumption of electrical energy at the microscopic level (in electronic chips), and at the macroscopic level (e.g. in buildings or data centers) and for its routing and dynamic usage by consuming units (such as computer elements, chips or machines). We next discuss his work on designing computer and communication systems that parsimoniously use energy in order to achieve a satisfactory level of quality of service (QoS). Trade-offs between system QoS and energy consumption are also considered. Then we turn to Prof. Gelenbe's pioneering work on Autonomic Communications and the design and implementation of CPN, the Cognitive Packet Network, and we also briefly review his spiking random neural network that was used in CPN. This is followed by a brief review of work that he conducted since 1999 on human evacuation from dangerous or catastrophic environments, and the design of technology driven Emergency Management Systems. His research since the late 2000s on Gene Regulatory Networks is then covered together with its application to the detecting possible disease from microarray data. Finally, we briefly discuss some novel analytical models that he developed in this period with publications appearing in journals of physics and applied mathematics.

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Section: Energy In Ict and Its Optimizationmentioning

confidence: 99%

Section: Energy In Ict and Its Optimizationmentioning

confidence: 99%

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Caglayan¹

2016

Prob. Eng. Inf. Sci.

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“…It was pursued by work that uses network routing and connection admission as a means to save energy (Gelenbe and Mahmoodi [118], Gelenbe, Mahmoodi, and Morfopoulou [120], Gelenbe and Morfopoulou [127], Gelenbe and Silvestri [138,139], Gelenbe and Wu [145], Sakellari et al [179]). Energy optimization of software systems was discussed in (Pernici et al [173]) and its effect on performance trade-offs in remote accesses to Cloud services is analyzed in (Gelenbe, Lent, and Douratsos [109]).…”

Section: E-network and Energy Packet Network (Epns)mentioning

confidence: 99%

G-Networks and Their Applications to Machine Learning, Energy Packet Networks and Routing: Introduction to the Special Issue

Caglayan¹

2017

Prob. Eng. Inf. Sci.

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This paper introduces a special issue of this journal (Probability in the Engineering and Informational Sciences) that is devoted to G(elenbe)-Networks and their Applications. The special issue is based on revised versions of some of the papers that were presented at a workshop held in early January 2017 at the Séminaire Saint-Paul in Nice (France). It includes contributions in several research directions that followed from the introduction of the G-Network in the late 1980s. The papers present original theoretical developments, as well as applications of G-Networks to Machine Learning, to the performance optimization of energy systems via the novel Energy Packet Networks formalism for systems that operate with renewable and intermittent energy sources, and to packet network routing and Cloud management over the Internet. We introduce these contributions from the perspective of an overview of recent work based on G-Networks.

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Performance, Energy Savings and Security: An Introduction

Caglayan

2021

Lecture Notes in Computer Science

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Distributed networked emergency evacuation and rescue

Cited by 4 publications

References 48 publications

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

G-Networks and Their Applications to Machine Learning, Energy Packet Networks and Routing: Introduction to the Special Issue

Performance, Energy Savings and Security: An Introduction

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