Routing, path computation and traffic engineering in future Internet
Journal of Communications and Networks, 2007 The current Internet architecture with integrated routing and forwarding planes has served the community well for the past three decades. The significant growth in Internet traffic and the need for support of very diverse sources has spurned research interest in new architectures.
Jabbari, B +3 more
openaire +1 more source
Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach [PDF]
, 2018 In real-life logistics, distribution plans might be affected by weather conditions (rain, snow, and fog), since they might have a significant effect on traveling times and, therefore, on total distribution costs.
Cavero-Lázaro, Marta +4 more
core +3 more sources
Computing in the RAIN: a reliable array of independent nodes [PDF]
, 1998 The RAIN project is a research collaboration between Caltech and NASA-JPL on distributed computing and data-storage systems for future spaceborne missions.
Bohossian, Vasken +5 more
core +5 more sources
A Framework for Robust Traffic Engineering Using Evolutionary Computation
, 2013 In current network infrastructures, several management tasks often require significant human intervention and can be of high complexity, having to consider several inputs to attain efficient configurations. In this perspective, this work presents an optimization framework able to automatically provide network administrators with efficient and robust ...
Pereira, Vítor +4 more
openaire +3 more sources
Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems [PDF]
, 2016 The recent advances in cloud services technology are fueling a plethora of information technology innovation, including networking, storage, and computing.
Jukan, Admela +4 more
core +2 more sources
A deep network with analogous self‐attention for short‐term traffic flow prediction
IET Intelligent Transport Systems, 2021 Short‐term traffic flow prediction plays a crucial role in research and application of intelligent transportation system. Neural network algorithm can use the big data for training and has more advantages over other prediction models in traffic features ...
Zhao Zhang, Xiaohong Jiao
doaj +1 more source
High‐performance traffic speed forecasting based on spatiotemporal clustering of road segments
IET Intelligent Transport Systems, 2021 Traffic speed prediction is an indispensable element of intelligent transportation systems. Numerous studies have devoted to high‐precision prediction models. However, most existing methods implement the link‐wise or network‐wide input.
Zhengchao Zhang +4 more
doaj +1 more source
Migration energy aware reconfigurations of virtual network function instances in NFV architectures [PDF]
, 2017 Network function virtualization (NFV) is a new network architecture framework that implements network functions in software running on a pool of shared commodity servers.
Ammar, Mostafa +2 more
core +1 more source
Implementation of CAVENET and its usage for performance evaluation of AODV, OLSR and DYMO protocols in vehicular networks [PDF]
, 2010 Vehicle Ad-hoc Network (VANET) is a kind of Mobile Ad-hoc Network (MANET) that establishes wireless connection between cars. In VANETs and MANETs, the topology of the network changes very often, therefore implementation of efficient routing protocols is ...
Barolli, Leonard +5 more
core +3 more sources
Recognition of Functional Areas Based on Call Detail Records and Point of Interest Data
Journal of Advanced Transportation, 2020 With the recent emergence of big data, there has been significant progress in the study of big data mining and rapid developments in urban computing. With the integration of planning and management in urban areas, there is an urgent need to focus on the ...
Guang Yuan +5 more
doaj +1 more source