The Experts below are selected from a list of 218136 Experts worldwide ranked by ideXlab platform
Luhan Wang - One of the best experts on this subject based on the ideXlab platform.
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A Service-Oriented Deployment Policy of End-to-End Network Slicing Based on Complex Network Theory
IEEE Access, 2018Co-Authors: Wanqing Guan, Zhaoming Lu, Luhan Wang, Xiangming Wen, Yidi ShenAbstract:For fifth-generation wireless communication systems, Network slicing has emerged as a key concept to meet the diverse requirements of various use cases. By slicing an Infrastructure Network into multiple dedicated logical Networks, wireless Networks can support a wide range of services. However, how to fast deploy the end-to-end slices is the main issue in a multi-domain wireless Network Infrastructure. In this paper, a mathematical model is used to construct Network slice requests and map them to the Infrastructure Network. The mapping process consists of two steps: the placement of virtual Network functions and the selection of link paths chaining them. To efficiently utilize the limited physical resources, we pay attention to the service-oriented deployment by offering different deployment policies for three typical slices: eMBB slices, mMTC slices, and uRLLC slices. Furthermore, we adopt complex Network theory to obtain the topological information of slices and Infrastructure Network. With the topological information, we define a node importance metric to rank the nodes in node mapping. To evaluate the performance of deployment policy we proposed, extensive simulations have been conducted. The results have shown that our algorithm performed better in terms of resource efficiency and acceptance ratio. In addition, the average execute time of our algorithm is in a linear growth with the increase of Infrastructure Network size.
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Network Slicing Management of 5G Ultra-Dense Networks Based on Complex Network Theory
2017 IEEE Globecom Workshops (GC Wkshps), 2017Co-Authors: Wanqing Guan, Luhan Wang, Xiangming Wen, Zhaoming LuAbstract:Owing to the rapid increase in mobile data traffic and connected devices, ultra-dense Networks (UDN) are proposed to increase the Network capacity. In order to satisfy the diverse requirements of emerging use cases, the concept of Network slicing (NS) has been progressively introduced in 5G Network. For NS in 5G UDN, there are still many challenges in the efficient end to end (E2E) management of massive slices. In this article, we propose a NS management framework of 5G UDN based on complex Network (CN) theory. In this framework, we use multilayer Network (MN) model to represent the topology of multi-slices and Infrastructure Network from a global perspective. With the MN model, the topological information of Infrastructure Network are considered in the deployment policies of slices. Furthermore, we analyze the potential of CN theory to be applied appropriately in NS management from the aspects of improving the resilience and guaranteeing security.
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GLOBECOM Workshops - Network Slicing Management of 5G Ultra-Dense Networks Based on Complex Network Theory
2017 IEEE Globecom Workshops (GC Wkshps), 2017Co-Authors: Guan Wanqing, Xiangming Wen, Luhan WangAbstract:Owing to the rapid increase in mobile data traffic and connected devices, ultra-dense Networks (UDN) are proposed to increase the Network capacity. In order to satisfy the diverse requirements of emerging use cases, the concept of Network slicing (NS) has been progressively introduced in 5G Network. For NS in 5G UDN, there are still many challenges in the efficient end to end (E2E) management of massive slices. In this article, we propose a NS management framework of 5G UDN based on complex Network (CN) theory. In this framework, we use multilayer Network (MN) model to represent the topology of multi-slices and Infrastructure Network from a global perspective. With the MN model, the topological information of Infrastructure Network are considered in the deployment policies of slices. Furthermore, we analyze the potential of CN theory to be applied appropriately in NS management from the aspects of improving the resilience and guaranteeing security.
Kash Barker - One of the best experts on this subject based on the ideXlab platform.
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Exploring Recovery Strategies for Optimal Interdependent Infrastructure Network Resilience
Networks and Spatial Economics, 2021Co-Authors: Yasser Almoghathawi, Andrés D. González, Kash BarkerAbstract:Infrastructure Networks such as power, communication, gas, water, and transportation rely on one another for their proper functioning. Such Infrastructure Networks are subject to diverse disruptive events, including random failures, malevolent attacks, and natural disasters, which could significantly affect their performance and adversely impact economic productivity. Moreover, the proliferation of interdependencies among Infrastructure Networks has increased the complexity associated with recovery planning after a disruptive event. Consequently, providing solution approaches to restore interdependent Networks following the occurrence of a disruptive event has attracted many researchers in the last decade. The goal of this paper is to help decision makers plan for recovery following the occurrence of a disruptive event, to procure strategies that center not only on recovering the system promptly, but also such that the weighted average performance of the system is maximized during the recovery process (i.e., enhancing its resilience). Accordingly, this paper studies the interdependent Network restoration problem (INRP) and proposes a resilience-driven multi-objective optimization model to solve it. The proposed model aims to: (i) prioritize the restoration of the disrupted components for each Infrastructure Network, and (ii) assign and schedule the prioritized Networks components to the available work crews, such that the resilience of the system of interdependent Infrastructure Networks is enhanced considering the physical interdependency among them. The proposed model is formulated using mixed-integer programming (MIP) with the objectives of: (i) enhancing the resilience of the system of interdependent Infrastructure Networks, and (ii) minimizing the total costs associated with the restoration process (i.e., flow, restoration, and disruption costs). Moreover, the proposed model considers partial disruptions and recovery of the disrupted Network components, and partial dependence between nodes in different Networks. The proposed model is illustrated through a system of interdependent Infrastructure Networks after multiple hypothetical earthquakes in Shelby County, TN, United States.
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Social vulnerability and equity perspectives on interdependent Infrastructure Network component importance
Sustainable Cities and Society, 2020Co-Authors: Deniz Berfin Karakoc, Kash Barker, Christopher W. Zobel, Yasser AlmoghathawiAbstract:Abstract Critical Infrastructure Networks are often described as (i) interdependent in nature for operability, (ii) vulnerable against multiple natural or human-made hazards, and (iii) vital for providing the essential needs and ensuring the functionality of societies. Developing a plan for Infrastructure Network resilience is enabled by the identification of the most critical components that have the largest impact on the performance interdependent Networks, as well as on society in terms of serving its needs. In this work, we propose a component importance measure that is driven by the social aspects of resilience, which quantifies the impact of equitable restoration activities on components of interdependent Infrastructure Networks. To integrate the social expectations from various perspectives in the restoration scheduling of interdependent Infrastructure Networks, we combine this component importance measure with multiple social vulnerability measures that define different socio-economic characteristics in a society. Finally, we implement a multi-criteria decision analysis technique to determine the final importance ranking of the components and illustrate our approach with two critical Infrastructure Networks in Shelby County, TN. To our knowledge, our proposed methodology is the first to incorporate both social equity and social vulnerability concepts with the component importance measures of critical interdependent Infrastructure Network restoration scheduling.
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Component importance measures for interdependent Infrastructure Network resilience
Computers & Industrial Engineering, 2019Co-Authors: Yasser Almoghathawi, Kash BarkerAbstract:Abstract Critical Infrastructure Networks such as transportation, telecommunications, electric power, natural gas and oil, and water distribution rely on one another for their proper functionality. Hence, they are increasingly interdependent, making them highly vulnerable, where the occurrence of even a small disruption in one Infrastructure Network could propagate to affect other dependent Infrastructure Networks leading to a more significant adverse impact on society. Therefore, a key aspect of preparedness planning in Infrastructure Networks is identifying the critical Network components that influence not only (i) the performance of their Networks the most when disrupted and restored but also (ii) the performance of other Networks due to their interdependent nature. This work offers a means to study the importance of interdependent Network components with a resilience-focused performance measure in mind. We propose two component importance measures, (i) the first of which quantifies the effect of disrupted components on the resilience of the interdependent Infrastructure Networks once they are recovered, while (ii) the second measures the potential impact on the resilience of the interdependent Infrastructure Networks caused by a specific disrupted Network element. The proposed measures are illustrated through generated interdependent power-water Networks and compared with two other common Network centrality measures. The use of such measures could identify components that are candidates for the allocation of resources to reduce their vulnerability or to expedite their recovery.
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work crew routing problem for Infrastructure Network restoration
Transportation Research Part B-methodological, 2018Co-Authors: Nazanin Morshedlou, Andres Gonzalez, Kash BarkerAbstract:This paper introduces a synchronized routing problem for planning and scheduling restorative efforts for Infrastructure Networks in the aftermath of a disruptive event. In this problem, a set of restoration crews are dispatched from depots to a road Network to restore the disrupted Infrastructure Network. Two mathematical formulations are presented to scheduling and sequencing disrupted Network components to restoration crews and route the crews towards disrupted components to maximize Network resilience progress in any given time horizon. In the first formulation, the number of restoration crews assigned to each disrupted component, the arrival time of each assigned crew to each disrupted component and consequently the restoration rate associated with each disrupted component are considered as variables to increase the flexibility of the model in the presence of different disruptive events. Along with the contributions applies in the first formulation, in the second formulation, each disrupted component can be partially active during its restoration process. To find the coordinated routes, we propose a relaxed mixed integer program as well as a set of valid inequalities which relates the planning and scheduling efforts to decision makers policies. The integration of the relaxed formulation and valid inequalities results in a lower bound for the original formulations. We further introduce a feasibility algorithm to derive a strong initial solution for the routing restorative capacity problem. Computational results on gas, water, and electric power Infrastructure Network instances from Shelby County, TN data, demonstrates both the effectiveness of the proposed model formulation, in solving small to medium scale problems, the strength of the initial solution procedure, especially for large scale problems.
Xiangming Wen - One of the best experts on this subject based on the ideXlab platform.
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A Service-Oriented Deployment Policy of End-to-End Network Slicing Based on Complex Network Theory
IEEE Access, 2018Co-Authors: Wanqing Guan, Zhaoming Lu, Luhan Wang, Xiangming Wen, Yidi ShenAbstract:For fifth-generation wireless communication systems, Network slicing has emerged as a key concept to meet the diverse requirements of various use cases. By slicing an Infrastructure Network into multiple dedicated logical Networks, wireless Networks can support a wide range of services. However, how to fast deploy the end-to-end slices is the main issue in a multi-domain wireless Network Infrastructure. In this paper, a mathematical model is used to construct Network slice requests and map them to the Infrastructure Network. The mapping process consists of two steps: the placement of virtual Network functions and the selection of link paths chaining them. To efficiently utilize the limited physical resources, we pay attention to the service-oriented deployment by offering different deployment policies for three typical slices: eMBB slices, mMTC slices, and uRLLC slices. Furthermore, we adopt complex Network theory to obtain the topological information of slices and Infrastructure Network. With the topological information, we define a node importance metric to rank the nodes in node mapping. To evaluate the performance of deployment policy we proposed, extensive simulations have been conducted. The results have shown that our algorithm performed better in terms of resource efficiency and acceptance ratio. In addition, the average execute time of our algorithm is in a linear growth with the increase of Infrastructure Network size.
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Network Slicing Management of 5G Ultra-Dense Networks Based on Complex Network Theory
2017 IEEE Globecom Workshops (GC Wkshps), 2017Co-Authors: Wanqing Guan, Luhan Wang, Xiangming Wen, Zhaoming LuAbstract:Owing to the rapid increase in mobile data traffic and connected devices, ultra-dense Networks (UDN) are proposed to increase the Network capacity. In order to satisfy the diverse requirements of emerging use cases, the concept of Network slicing (NS) has been progressively introduced in 5G Network. For NS in 5G UDN, there are still many challenges in the efficient end to end (E2E) management of massive slices. In this article, we propose a NS management framework of 5G UDN based on complex Network (CN) theory. In this framework, we use multilayer Network (MN) model to represent the topology of multi-slices and Infrastructure Network from a global perspective. With the MN model, the topological information of Infrastructure Network are considered in the deployment policies of slices. Furthermore, we analyze the potential of CN theory to be applied appropriately in NS management from the aspects of improving the resilience and guaranteeing security.
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GLOBECOM Workshops - Network Slicing Management of 5G Ultra-Dense Networks Based on Complex Network Theory
2017 IEEE Globecom Workshops (GC Wkshps), 2017Co-Authors: Guan Wanqing, Xiangming Wen, Luhan WangAbstract:Owing to the rapid increase in mobile data traffic and connected devices, ultra-dense Networks (UDN) are proposed to increase the Network capacity. In order to satisfy the diverse requirements of emerging use cases, the concept of Network slicing (NS) has been progressively introduced in 5G Network. For NS in 5G UDN, there are still many challenges in the efficient end to end (E2E) management of massive slices. In this article, we propose a NS management framework of 5G UDN based on complex Network (CN) theory. In this framework, we use multilayer Network (MN) model to represent the topology of multi-slices and Infrastructure Network from a global perspective. With the MN model, the topological information of Infrastructure Network are considered in the deployment policies of slices. Furthermore, we analyze the potential of CN theory to be applied appropriately in NS management from the aspects of improving the resilience and guaranteeing security.
Emilio Bastidas-arteaga - One of the best experts on this subject based on the ideXlab platform.
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A Multistage Stochastic Program for the Design and Management of Flexible Infrastructure Networks
Reliability Engineering and System Safety, 2021Co-Authors: Samuel Torres-rincón, Mauricio Sánchez-silva, Emilio Bastidas-arteagaAbstract:Throughout their lifetime, Infrastructure Network systems face unplanned events that impose pressures on their integrity, functionality, and ability to deliver value. Most of the existing Infrastructure is designed to deal with the challenges imposed by uncertain external phenomena. Authors from different backgrounds have identified flexibility, changeability, and adaptability as key attributes that modern systems should have to face uncertain scenarios. Specifically, flexibility is an ability that allows a system to be easily adapted when necessary. The concept of flexibility is compelling, but it is not clear how to measure the value it may provide. Determining how much to pay to introduce flexibility is an essential aspect of designing flexible systems, but the dependence of this value on the future evolution of the system results in a complex decision process. The sequential nature of the process can be modeled using multistage stochastic programming. The model explicitly considers the flexibility built into the Network components as a decision variable at the initial stage. The model is tested in a generic Infrastructure Network that must meet a stochastic demand. The results show the relationship between the value of flexibility and the life-cycle costs at the construction and operation stages.
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A multistage stochastic program for the design and management of flexible Infrastructure Networks
Reliability Engineering & System Safety, 1Co-Authors: Samuel Torres-rincón, Mauricio Sánchez-silva, Emilio Bastidas-arteagaAbstract:Abstract Throughout their lifetime, Infrastructure Network systems face unplanned events that impose pressures on their integrity and functionality, which affects their ability to deliver value. Traditional design approaches are too rigid to deal with an uncertain world. Most of the existing Infrastructure is not equipped with the features to deal with the challenges imposed by climate change, evolving regulatory frameworks, and complex population dynamics. Authors from different backgrounds have identified flexibility, changeability, and adaptability as key attributes that modern systems should have to face uncertain future scenarios. Specifically, flexibility is a system ability that allows it to adapt easily when necessary. The concept of flexibility is compelling, but questions arise concerning the value of flexibility. Answering these questions requires analyzing the complex decision processes taking place during the Network’s lifetime. This paper presents a multistage stochastic programming model for the design and management of flexible Infrastructure Networks. The model explicitly considers the flexibility built into the Network components as a decision variable at the initial stage. The model is tested in a generic Infrastructure Network that must meet a stochastic demand. The results show the relationship between the value of flexibility and the life-cycle costs at the construction and operation stages.
Chen Zeng - One of the best experts on this subject based on the ideXlab platform.
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exploration on the spatial spillover effect of Infrastructure Network on urbanization a case study in wuhan urban agglomeration
Sustainable Cities and Society, 2019Co-Authors: Chen Zeng, Yan Song, Dawei Cai, Huatai Cui, Jing Yang, Hongxia ZhangAbstract:Abstract In the context of rapid urbanization, the rational spatial distribution of Infrastructures, such as road Network and public facilities is of great importance for the spatial optimization of Infrastructure construction and sustainable regional development. In this study, we explored the spatial spillover influence of Infrastructure Network on urbanization in road Network-based and POI-based hypotheses through spatial modeling in Wuhan urban agglomeration in 2005 and 2015. The global integration values of the road axial lines and Points of Interest (POI) density were used to generate spatial weight matrices by the gravity model to formulate the two hypotheses. The results revealed that local economic factors and the spatial influence of Infrastructure both contribute to the changes in urbanization with varying powers in different hypotheses and years. In general, spatial spillover effects from neighbors in the form of road Network and point-based facilities have weakened in recent years. However, the comparative magnitude has changed from road Network dominated to similar functioning between road Network and POI based facilities. It is concluded that the rational utilization of the embedded spatial spillover effect helps to formulate strategies for sustainable urbanization in improving resource use efficiency, achieving balanced development and promoting an integrated urban–rural development.