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Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources

Markos Anastasopoulos, Anna Tzanakaki, Dimitra Simeonidou
2016 IEEE Journal on Selected Areas in Communications  
The benefit of stochastic planning can be exploited in practice by adopting dynamic and periodic re-provisioning of resources.  ...  The power consumption of each DC ranges from 6.6KW under idle conditions and can reach up to 13.2KW under full load [54] .  ... 
doi:10.1109/jsac.2016.2600061 fatcat:43wsn5l64rdctlizzgxks3qif4


Phyrum KOV, Yasuhiro HIROBATA, Yasuyuki NAKAHIRA
The purpose of this paper , therefore, is to quantify analytically the travel time reliability of mixed traffic network under stochastic travel demand; and to analyze the effects of ATIS on travel time  ...  Conclusion In this paper, the analysis of travel time reliability under stochastic day-to-day variation of OD travel demand considering mixed traffic condition is explicitly given with main components  ... 
doi:10.2208/journalip.23.789 fatcat:w7kdudtxk5giniz5uqsholel34

Locating changeable message signs for advanced traffic information and management systems

Liping Fu, Jeffrey Henderson, Shuo Li
2007 Canadian journal of civil engineering (Print)  
Incident delay under changeable message signs (CMSs) information. (a) Location of three CMSs on a network and (b) corresponding queuing diagram for the traffic of the incident link.  ...  The model has three unique features: (1) it recognizes that locating CMSs is a planning problem that must take into account both current and future needs and benefits, (2) it evaluates benefits of CMSs  ...  Acknowledgements This research was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC).  ... 
doi:10.1139/l06-151 fatcat:hn35gc62cjbfffibenob6jekke

Dynamic Game Theoretic Model of Multi-Layer Infrastructure Networks

2005 Networks and Spatial Economics  
This paper presents a preliminary network flow equilibrium model of dynamic multi-layer infrastructure networks in the form of a differential game involving two essential time scales.  ...  An agent-based simulation solution structure is introduced to solve the flow equilibrium and optimal budget allocation problem for these three layers under the assumption of a super authority that oversees  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1007/s11067-005-2627-0 fatcat:2hlmdzvl6fgyhn2zri42ahu3ui

Green Heterogeneous Cloud Radio Access Networks: Potential Techniques, Performance Trade-offs, and Challenges

Yuzhou Li, Tao Jiang, Kai Luo, Shiwen Mao
2017 IEEE Communications Magazine  
As a flexible and scalable architecture, heterogeneous cloud radio access networks (H-CRANs) inject strong vigor into the green evolution of current wireless networks.  ...  It is thus important to investigate performance tradeoffs for striking flexible balances between energy-efficient transmission and excellent quality-of-service (QoS) guarantees under this new architecture  ...  Poor et al. in 2009 [14] , where the authors showed that the delay constraints would lead to a loss in EE at equilibrium by a game-theoretical approach.  ... 
doi:10.1109/mcom.2017.1600807 fatcat:6shesnerz5fopmeqftuktqpnzq

Smart reservation and sketch timetabling based on ADMM: a dual-decomposition algorithm application

Luetian Sun, Rui Song
2021 IEEE Access  
link capacity into consideration and the road condition is under control.  ...  Under large traffic demand conditions, however, a small bottleneck may lead to longer user waiting time back propagating through the queue during oversaturated periods due to ineffective road capacity  ... 
doi:10.1109/access.2021.3084938 fatcat:lt5cp6i7dzf6doh2bf44b4utlu

The influence of route guidance advice on route choice in urban networks

1991 Doboku Gakkai Ronbunshu  
The DRIVE study is entitled "The Integration of Route Guidance and Traffic Control".  ...  Some of the data presented in this paper was collected within the DRIVE project and the contributions of INRETS (France) and Mizar (Italy) to that process are gratefully acknowledged.  ...  developed in the Stochastic User Equilibrium (SUE) models, and day-on-day variability.  ... 
doi:10.2208/jscej.1991.29 fatcat:ph6qqqi53ncalctiocenizessy

Multi-Agent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC)

Samah El-Tantawy, Baher Abdulhai
2012 2012 15th International IEEE Conference on Intelligent Transportation Systems  
Efficient and robust ATSC can be designed using a multi-agent reinforcement learning (MARL) approach in which each controller (agent) is responsible for the control of traffic lights around a single traffic  ...  For a network with multiple signalised intersections, efficient and robust controllers can be designed using a multi-agent reinforcement learning (MARL) approach.  ...  Comparison to SCOOT: To quantify the benefits of MARLIN-ATSC relative to existing ATSC systems such as SCOOT, the following approaches could be used: a.  ... 
doi:10.1109/itsc.2012.6338707 dblp:conf/itsc/El-TantawyA12 fatcat:ilrdw32r3jcdpg5mbrr46ek6ra

Boundedly rational route choice behavior: A review of models and methodologies

Xuan Di, Henry X. Liu
2016 Transportation Research Part B: Methodological  
Accordingly, static and dynamic traffic assignment are introduced in substantive bounded rationality while two-stage cognitive models and day-to-day learning models in procedural bounded rationality are  ...  A comparison of all existing methodologies are given and bounded rationality models' scope and boundaries in terms of predictability, transferability, tractability, and scalability are discussed.  ...  Acknowledgment The authors would like to thank three anonymous reviewers for their insightful and constructive comments.  ... 
doi:10.1016/j.trb.2016.01.002 fatcat:zhuwk6xlw5htzf36c5hm7bdxui

Information Impacts on Traveler Behavior and Network Performance: State of Knowledge and Future Directions [chapter]

Ramachandran Balakrishna, Moshe Ben-Akiva, Jon Bottom, Song Gao
2013 Complex Networks and Dynamic Systems  
This paper aims to provide a synthesis of both the state of the art and the state of the practice of ATIS modeling and evaluation.  ...  We provide a conceptual discussion of the general framework within which traveler information may be generated, including key ATIS design parameters that may impact the performance of (and consequently  ...  Figure 3 shows that systematically over-or under-predicting network demand results in a deterioration in the benefit of ATIS.  ... 
doi:10.1007/978-1-4614-6243-9_8 fatcat:7ghit2evy5al7aqn5jbxd3ctoe

Modeling framework for supporting taxi policy making

Josep Salanova Grau, Miquel Estrada
2019 International Journal of Traffic and Transportation Management  
These services are regulated by a central authority, which usually monitors the performance of the taxi services provision and defines the policies applied to the taxi sector.  ...  Most of the models developed for analyzing the taxi market are based on econometric measurements and do not account for the spatial distribution of both taxi demand and supply.  ...  in order to minimize the systems costs along the day (figure 6 ) quantifying the impact of the under/over supply during the day in the waiting time of customers and the benefits of drivers for different  ... 
doi:10.5383/jttm.01.01.004 fatcat:7s27zza765aztb6ocly3265ydq

Congestion Pricing in a World of Self-driving vehicles: an Analysis of Different Strategies in Alternative Future Scenarios [article]

Michele D. Simoni, Kara M. Kockelman, Krishna M. Gurumurthy, Joschka Bischoff
2018 arXiv   pre-print
More complex and advanced strategies perform better in terms of traffic conditions and traveler welfare, depending on the development of the mobility landscape of autonomous driving.  ...  , reducing the benefits of driverless vehicles.  ...  The study was partly funded by the Texas Department of Transportation under Project 0-6838, "Bringing Smart Transport to Texas".  ... 
arXiv:1803.10872v4 fatcat:fft7igmp6zb67bojjisv7vo5tq

Beyond a complete failure: the impact of partial capacity degradation on public transport network vulnerability

Oded Cats, Erik Jenelius
2016 Transportmetrica B: Transport Dynamics  
The relation between network performance and the degradation of line or link capacities is investigated by establishing a vulnerability curve and related metrics.  ...  The impacts of capacity reductions are assessed using a nonequilibrium dynamic public transport operations and assignment model.  ...  non-equilibrium disruption conditions.  ... 
doi:10.1080/21680566.2016.1267596 fatcat:j7pw2u2x5nhvdgy5kjbo4gie44

Modeling network-wide impacts of traffic bottleneck mitigation strategies under stochastic capacity conditions

Mingxin Li
demand distributions; 2) characterize day-to-day learning behavior with different information groups under stochastic capacity and 3) quantify travel time variability from stochastic capacity distribution  ...  The proposed models aim to 1) represent static-state network user equilibrium conditions, knowledge quality and accessibility of traveler information systems under both stochastic capacity and stochastic  ...  In Figure 6 .2, we can derive the impact to the total waiting time due to one unit of departure flow change at time t .If we consider the queue discharge rate is changed by one unit for the congested  ... 
doi:10.26053/0h-ff57-3fg0 fatcat:ixnlnk7mo5fijiyvxiiz7j7itm

Of Threats and Costs: A Game-Theoretic Approach to Security Risk Management [chapter]

Patrick Maillé, Peter Reichl, Bruno Tuffin
2010 Performance Models and Risk Management in Communications Systems  
Part of this work has been supported by the Austrian government and the city of Vienna in the framework of the COMET competence centre program and by the French research agency through the FLUOR project  ...  Acknowledgments The authors acknowledge the support of European initiative COST IS0605, Econ@tel.  ...  Under proper conditions on B() and C(), it can be ensured that at least half of the nodes will cooperate.  ... 
doi:10.1007/978-1-4419-0534-5_2 fatcat:s37ykxheprb2vecjz53usg6zoe
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