A Multi Commodity Flow Based Approach To Virtual Network Resource Allocation

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A Multi Commodity Flow Based Approach To Virtual Network Resource Allocation

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Author : Wayne Szeto
language : en
Publisher:
Release Date : 2002

A Multi Commodity Flow Based Approach To Virtual Network Resource Allocation written by Wayne Szeto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.

Multicommodity Supply And Transportation Networks With Resource Constraints

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Author : Richard D. Wollmer
language : en
Publisher:
Release Date : 1970

Multicommodity Supply And Transportation Networks With Resource Constraints written by Richard D. Wollmer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Freight and freightage categories.

The paper presents a method for treating multicommodity network flows in which limited resources are shared among several arcs instead of only one. The study extends the previous solution methds for networks with individual arc capacity constraints to cover joint constraints. This formulation can handle one or more joint capacity constraints in a multicommodity network; with some adjustment in the objective function, it can maximize a linear combination of commodity flows and find a feasible routing to meet flow requirements.

Dynamic Resource Allocation And Management In Virtual Networks And Clouds

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Author : Houda Jmila
language : en
Publisher:
Release Date : 2015

Dynamic Resource Allocation And Management In Virtual Networks And Clouds written by Houda Jmila and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.

Cloud computing is a promising technology enabling IT resources reservation and utilization on a pay-as-you-go manner. In addition to the traditional computing resources, cloud tenants expect compete networking of their dedicated resources to easily deploy network functions and services. They need to manage an entire Virtual Network (VN) or infrastructure. Thus, Cloud providers should deploy dynamic and adaptive resource provisioning solutions to allocate virtual networks that reflect the time-varying needs of Cloud-hosted applications. Prior work on virtual network resource provisioning only focused on the problem of mapping the virtual nodes and links composing a virtual network request to the substrate network nodes and paths, known as the Virtual network embedding (VNE) problem. Little attention was paid to the resource management of the allocated resources to continuously meet the varying demands of embedded virtual networks and to ensure efficient substrate resource utilization. The aim of this thesis is to enable dynamic and preventive virtual network resources provisioning to deal with demand fluctuation during the virtual network lifetime, and to enhance the substrate resources usage. To reach these goals, the thesis proposes adaptive resource allocation algorithms for evolving virtual network requests. We adress the extension of an embedded virtual node requiring more resources and consider the substrate network profitability. We also deal with the bandwidth demand variation in embedded virtual links. We first provide a heuristic algorithm to deal with virtual nodes demand fluctuation. The work is extended by designing a preventive re-configuration scheme to enhance substrate network profitability. Finally, a distributed, local-view and parallel framework was devised to handle embedded virtual links bandwidth fluctuations. The approach is composed of a controller and three algorithms running in each substrate node in a distributed and parallel manner. The framework is based on the self-stabilization approach, and can manage various forms of bandwidth demand variations simultaneously.

Multicommodity Flow Applied To The Utility Model A Heuristic Approach To Service Level Agreements In Packet Networks

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Author :
language : en
Publisher:
Release Date : 2005

Multicommodity Flow Applied To The Utility Model A Heuristic Approach To Service Level Agreements In Packet Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.

Consider the concept of the Utility Model [5]: the optimal allocation of resources of a server or network while meeting the absolute Quality of Service (QoS) requirements of users' multimedia sessions. Past algorithms and heuristics to solve the Utility Model mapped the problem onto a variant of the Combinatorial Knapsack Problem, with server utility (e.g. revenue) as the quantity to be optimized and with user QoS requirements expressed as constraints on the resource allocation. Both optimal (algorithmic) and fast but sub-optimal (heuristic) methods were derived to solve the resulting Multidimensional Multiconstraint Knapsack Problem (MMKP) and hence to perform admission control of proposed user sessions However, previous algorithms and heuristics were restricted to solving the Utility Model on an enterprise network (a network of less than 30 nodes), owing to the need in admission control to solve the problem in real time, typically a few seconds or less. The methods used for the path finding and admission processes had unfavorable computational complexities. As a result, only small (i.e. enterprise) networks could be treated in real time. Also, considerable time was wasted on frequently unnecessary traversals during upgrading. In this thesis we attempt to solve and implement the Utility Model using a modified version of a Multicommodity Flow algorithm, which has better computational complexity than Knapsack Algorithms or many heuristics and hence is capable of finding paths relatively quickly for larger networks. What's more, the Multicommodity flow algorithm used keeps essential information about the current networks and user sessions, thus further reducing the overall admission time.

Efficient And Robust Resource Allocation For Network Function Virtualization

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Author : Gamal Sallam
language : en
Publisher:
Release Date : 2020

Efficient And Robust Resource Allocation For Network Function Virtualization written by Gamal Sallam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

With the advent of Network Function Virtualization (NFV), network services that traditionally run on proprietary dedicated hardware can now be realized using Virtual Network Functions (VNFs) that are hosted on general-purpose commodity hardware. This new network paradigm offers a great flexibility to Internet service providers (ISPs) for efficiently operating their networks (collecting network statistics, enforcing management policies, etc.). However, introducing NFV requires an investment to deploy VNFs at certain network nodes (called VNF-nodes), which has to account for practical constraints such as the deployment budget and the VNF-node limited resources. While gradually transitioning to NFV, ISPs face the problem of where to efficiently introduce NFV; here, we measure the efficiency by the amount of traffic that can be served in an NFV-enabled network. This problem is non-trivial as it is composed of two challenging subproblems: 1) placement of VNF-nodes; 2) allocation of the VNF-nodes' resources to network flows. These two subproblems must be jointly considered to satisfy the objective of serving the maximum amount of traffic. We first consider this problem for the one-dimensional setting, where all network flows require one network function, which requires a unit of resource to process a unit of flow. In contrast to most prior work that often neglects either the budget constraint or the resource allocation constraint, we explicitly consider both of them and prove that accounting for them introduces several new challenges. Specifically, we prove that the studied problem is not only NP-hard but also non-submodular. To address these challenges, we introduce a novel relaxation method such that the objective function of the relaxed placement subproblem becomes submodular. Leveraging this useful submodular property, we propose two algorithms that achieve an approximation ratio of $\frac{1}{2}(1-1/e)$ and $\frac{1}{3}(1-1/e)$ for the original non-relaxed problem, respectively. Next, we consider the multi-dimensional setting, where flows can require multiple network functions, which can also require a different amount of each resource to process a unit of flow. To address the new challenges arising from the multi-dimensional setting, we propose a novel two-level relaxation method that allows us to draw a connection to the sequence submodular theory and utilize the property of sequence submodularity along with the primal-dual technique to design two approximation algorithms. Finally, we perform extensive trace-driven simulations to show the effectiveness of the proposed algorithms. While the NFV paradigm offers great flexibility to network operators for efficient management of their networks, VNF instances are typically more prone to error and more vulnerable to security threats compared with dedicated hardware devices. Therefore, the NFV paradigm also poses new challenges concerning failure resilience. That has motivated us to consider robustness with respect to the class of sequence submodular function maximization problem, which has a wide range of applications, including those in the NFV domain. Submodularity is an important property of set functions and has been extensively studied in the literature. It models set functions that exhibit a diminishing returns property, where the marginal value of adding an element to a set decreases as the set expands. This notion has been generalized to considering sequence functions, where the order of adding elements plays a crucial role and determines the function value; the generalized notion is called sequence (or string) submodularity. In this part of the dissertation, we study a new problem of robust sequence submodular maximization with cardinality constraints. The robustness is against the removal of a subset of elements in the selected sequence (e.g., due to malfunctions or adversarial attacks). Compared to robust submodular maximization for set function, new challenges arise when sequence functions are concerned. Specifically, there are multiple definitions of submodularity for sequence functions, which exhibit subtle yet critical differences. Another challenge comes from two directions of monotonicity: forward monotonicity and backward monotonicity, both of which are important to proving performance guarantees. To address these unique challenges, we design two robust greedy algorithms: while one algorithm achieves a constant approximation ratio but is robust only against the removal of a subset of contiguous elements, the other is robust against the removal of an arbitrary subset of the selected elements but requires a stronger assumption and achieves an approximation ratio that depends on the number of the removed elements. Finally, we consider important problems that arise in the production networks, where packets need to pass through an ordered set of network functions called Service Function Chains (SFC) before reaching the destination. We study the following problems: (1) How to find an SFC-constrained shortest path between any pair of nodes? (2) What is the achievable SFC-constrained maximum flow? We propose a transformation of the network graph to minimize the computational complexity of subsequent applications of any shortest path algorithm. Moreover, we formulate the SFC-constrained maximum flow problem as a fractional multicommodity flow problem and develop a combinatorial algorithm for a special case of practical interest.

A Multicommodity Flow Based Approach To Adaptive Internet Routing

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Author : Eric J. Anderson
language : en
Publisher:
Release Date : 2002

A Multicommodity Flow Based Approach To Adaptive Internet Routing written by Eric J. Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Routers (Computer networks) categories.

A Model For Optimal Multicommodity Network Flows With Resource Allocation

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Author : John E. Cremeans
language : en
Publisher:
Release Date : 1968

A Model For Optimal Multicommodity Network Flows With Resource Allocation written by John E. Cremeans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with categories.

The problem of determining multicommodity flows over a capacitated network subject to resource constraints may be solved by linear programming. However, the number of arcs and resources in many applications is such that the standard formulation becomes very costly. This paper describes an approach-an extension of the column generation technique used in the multicommodity network flow problem-that simultaneously considers network chain selection and resource allocation, thus making the problem both manageable and optimal in the sense that flow attainable is constrained by resource availability and network capacity. Extension to the minimum-cost formulation is proposed and computational experience is discussed. (Author).

Robust Optimization For Network Based Resource Allocation Problems Under Uncertainty

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Author : Lavanya Marla
language : en
Publisher:
Release Date : 2007

Robust Optimization For Network Based Resource Allocation Problems Under Uncertainty written by Lavanya Marla and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

We consider large-scale, network-based, resource allocation problems under uncertainty, with specific focus on the class of problems referred to as multi-commodity flow problems with time-windows. These problems are at the core of many network-based resource allocation problems. Inherent data uncertainty in the problem guarantees that deterministic optimal solutions are rarely, if ever, executed. Our work examines methods of proactive planning, that is, robust plan generation to protect against future uncertainty. By modeling uncertainties in data corresponding to service times, resource availability, supplies and demands, we can generate solutions that are more robust operationally, that is, more likely to be executed or easier to repair when disrupted. The challenges are the following: approaches to achieve robustness 1) can be extremely problem-specific and not general; 2) suffer from issues of tractability; or 3) have unrealistic data requirements. We propose in this work a modeling and algorithmic framework that addresses the above challenges.

Virtual Network Provisioning Framework For The Future Internet

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Author : Inès Louati
language : en
Publisher:
Release Date : 2010

Virtual Network Provisioning Framework For The Future Internet written by Inès Louati and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.

Recent advances in computer and network virtualisation combined with the emergence of new actors and business models motivated much research and development of new approaches to face the challenges of future Internet architectures. This thesis was motivated by these advances and by the need for efficient algorithms and frameworks to allocate virtual resources and create on demand virtual networks over shared physical infrastructures. The objective of the thesis has consequently been to conceive and develop provisioning algorithms and methods to set up and maintain virtual networks according to user needs and networking conditions. The work assumes the existence of virtual network providers acting as brokers that request virtual resources, on behalf of users, from multiple infrastructure providers. The investigation and research objective is to explore how virtual resources, offered as a service by infrastructure providers, are allocated while optimising the use of substrate resources and reducing the cost for providers. This thesis starts off with the analysis and comparison of several virtual network provisioning approaches and algorithms proposed in the literature. Provisioning phases are defined and explored including resource matching, embedding and binding. The scenario where multiple infrastructure providers are involved in the virtual network provisioning is addressed and a mathematical model of the VN provisioning problem is formulated. The second part of this thesis provides the design, implementation and evaluation of exact and heuristic matching algorithms to search, find and match virtual network requests with available substrate resources. Conceptual clustering techniques are used to facilitate finding and matching of virtual resources in the initial provisioning phases. Exact and heuristic algorithms are also proposed and evaluated to efficiently split virtual network requests over multiple infrastructure providers while reducing the matching cost. The request splitting problem is solved using both max-flow min-cut algorithms and linear programming techniques. The third part of this thesis presents the design, implementation and evaluation of exact and heuristic embedding algorithms to simultaneously assign virtual nodes and links to substrate resources. A distributed embedding algorithm, relying on a multi-agent based approach, is developed for large scale networks. An exact embedding algorithm, formulated as a mixed integer program, is also proposed and evaluated to ensure optimal node and link mapping while reducing cost and increasing the acceptance ratio of requests. Finally, this thesis presents the design and development of adaptive provisioning frameworks and algorithms to maintain virtual networks subject to dynamic changes in services demands and in physical infrastructures. Adaptive matching and embedding algorithms are designed, developed and evaluated to repair resource failures and dynamically optimize substrate networks utilisation.

Networks Of The Future

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Author : Mahmoud Elkhodr
language : en
Publisher: CRC Press
Release Date : 2017-10-16

Networks Of The Future written by Mahmoud Elkhodr and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-16 with Computers categories.

With the ubiquitous diffusion of the IoT, Cloud Computing, 5G and other evolved wireless technologies into our daily lives, the world will see the Internet of the future expand ever more quickly. Driving the progress of communications and connectivity are mobile and wireless technologies, including traditional WLANs technologies and low, ultra-power, short and long-range technologies. These technologies facilitate the communication among the growing number of connected devices, leading to the generation of huge volumes of data. Processing and analysis of such "big data" brings about many opportunities, as well as many challenges, such as those relating to efficient power consumptions, security, privacy, management, and quality of service. This book is about the technologies, opportunities and challenges that can drive and shape the networks of the future. Written by established international researchers and experts, Networks of the Future answers fundamental and pressing research challenges in the field, including architectural shifts, concepts, mitigation solutions and techniques, and key technologies in the areas of networking. The book starts with a discussion on Cognitive Radio (CR) technologies as promising solutions for improving spectrum utilization, and also highlights the advances in CR spectrum sensing techniques and resource management methods. The second part of the book presents the latest developments and research in the areas of 5G technologies and Software Defined Networks (SDN). Solutions to the most pressing challenges facing the adoption of 5G technologies are also covered, and the new paradigm known as Fog Computing is examined in the context of 5G networks. The focus next shifts to efficient solutions for future heterogeneous networks. It consists of a collection of chapters that discuss self-healing solutions, dealing with Network Virtualization, QoS in heterogeneous networks, and energy efficient techniques for Passive Optical Networks and Wireless Sensor Networks. Finally, the areas of IoT and Big Data are discussed, including the latest developments and future perspectives of Big Data and the IoT paradigms.