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Author : Peng-Teng Peter Ng
Publisher :
ISBN 13 :
Total Pages : 812 pages
Book Rating : 4.:/5 (243 download)
Download or read book Distributed Dynamic Resource Allocation in Multi-model Situations written by Peng-Teng Peter Ng and published by . This book was released on 1985 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David Vengerov
Publisher :
ISBN 13 :
Total Pages : 71 pages
Book Rating : 4.:/5 (85 download)
Download or read book Multi-agent Learning and Coordination Algorithms for Distributed Dynamic Resource Allocation written by David Vengerov and published by . This book was released on 2004 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (31 download)
Download or read book Research in Progress written by and published by . This book was released on 1982 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Graham Kendall Pinhey
Publisher :
ISBN 13 :
Total Pages : 87 pages
Book Rating : 4.:/5 (96 download)
Download or read book Distributed Multiagent Resource Allocation Using Reservations to Improve Handling of Dynamic Task Arrivals written by Graham Kendall Pinhey and published by . This book was released on 2014 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the artificial intelligence subfield of multi-agent systems, there are many applications for algorithms which optimally allocate a set of resources among many available tasks which demand those resources. In this thesis we present a distributed algorithm to solve this problem which adapts well to dynamic task arrivals, where new work arises at short notice. This algorithm builds on prior work which focused on finding the optimal allocation in a closed environment with a fixed number of tasks. Our algorithm is designed to leverage preemption if it is available, revoking resource allocations to tasks in progress if new opportunities arise which those resources are better suited to handle. However, interrupting tasks in progress is rarely without cost, and our algorithm both respects these costs and may reserve resources to avoid unnecessary costs from hasty allocation. Our multi-agent model assigns a task agent to each task which must be completed and a proxy agent to each resource which is available. These proxy agents are responsible for allocating the resource they manage, while task agents are responsible for learning about their environment and planning out which resources to request for their task. The distributed nature of our model makes it easy to dynamically introduce new tasks with associated task agents. Preemption occurs when a task agent approaches a proxy agent with a sufficiently compelling need that the proxy agent determines the newcomer derives more benefit from the proxy agent's resource than the task agent currently using that resource. We compare to other multi-agent resource allocation frameworks which permit preemption under more conservative assumptions, and show through simulation that our planning and learning techniques allow for improved allocations through more permissive preemption. Our simulations present a medical application which models fallible human resources, though the techniques used are applicable to other domains such as computer scheduling. We then revisit the model with a focus on opportunity cost, introducing resource reservation as an alternative method to preemption for addressing expected future changes in the task allocation environment. Simulations help identify the scenarios where opportunity cost is a significant concern. The model is then further expanded to account for switching costs, where interrupting tasks in progress is worse than simply delaying tasks, and the logical extreme where resource allocation is irrevocable thus encouraging careful decisions about where to commit resources. This thesis makes three primary contributions to multi-agent resource allocation. The first is an improved distributed resource allocation framework which uses Transfer-of-Control strategies and learning to rapidly find good allocations in a dynamic environment. The second is a discussion of the importance of opportunity cost in resource allocation, accompanied by a simple "dummy agent" implementation which validates the use of resource reservation to address scenarios vulnerable to opportunity cost. Finally, the effectiveness of this resource allocation framework with reservation is extended to environments where preemption is costly or impossible.
Author : Warren B. Powell
Publisher : John Wiley & Sons
ISBN 13 : 0470182954
Total Pages : 487 pages
Book Rating : 4.4/5 (71 download)
Download or read book Approximate Dynamic Programming written by Warren B. Powell and published by John Wiley & Sons. This book was released on 2007-10-05 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete and accessible introduction to the real-world applications of approximate dynamic programming With the growing levels of sophistication in modern-day operations, it is vital for practitioners to understand how to approach, model, and solve complex industrial problems. Approximate Dynamic Programming is a result of the author's decades of experience working in large industrial settings to develop practical and high-quality solutions to problems that involve making decisions in the presence of uncertainty. This groundbreaking book uniquely integrates four distinct disciplines—Markov design processes, mathematical programming, simulation, and statistics—to demonstrate how to successfully model and solve a wide range of real-life problems using the techniques of approximate dynamic programming (ADP). The reader is introduced to the three curses of dimensionality that impact complex problems and is also shown how the post-decision state variable allows for the use of classical algorithmic strategies from operations research to treat complex stochastic optimization problems. Designed as an introduction and assuming no prior training in dynamic programming of any form, Approximate Dynamic Programming contains dozens of algorithms that are intended to serve as a starting point in the design of practical solutions for real problems. The book provides detailed coverage of implementation challenges including: modeling complex sequential decision processes under uncertainty, identifying robust policies, designing and estimating value function approximations, choosing effective stepsize rules, and resolving convergence issues. With a focus on modeling and algorithms in conjunction with the language of mainstream operations research, artificial intelligence, and control theory, Approximate Dynamic Programming: Models complex, high-dimensional problems in a natural and practical way, which draws on years of industrial projects Introduces and emphasizes the power of estimating a value function around the post-decision state, allowing solution algorithms to be broken down into three fundamental steps: classical simulation, classical optimization, and classical statistics Presents a thorough discussion of recursive estimation, including fundamental theory and a number of issues that arise in the development of practical algorithms Offers a variety of methods for approximating dynamic programs that have appeared in previous literature, but that have never been presented in the coherent format of a book Motivated by examples from modern-day operations research, Approximate Dynamic Programming is an accessible introduction to dynamic modeling and is also a valuable guide for the development of high-quality solutions to problems that exist in operations research and engineering. The clear and precise presentation of the material makes this an appropriate text for advanced undergraduate and beginning graduate courses, while also serving as a reference for researchers and practitioners. A companion Web site is available for readers, which includes additional exercises, solutions to exercises, and data sets to reinforce the book's main concepts.
Author : Charles R. Vick
Publisher :
ISBN 13 :
Total Pages : 153 pages
Book Rating : 4.:/5 (878 download)
Download or read book Dynamic resource allocation in distributed computing systems written by Charles R. Vick and published by . This book was released on 1981 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yang Xu
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (128 download)
Download or read book Dynamic Resource Allocation in Multiuser Multicarrier Fading Environments written by Yang Xu and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Interference among users results in the degradation of signal quality and leads to poor performance in multi-user interference systems such as DSL system, ad-hoc wireless network. Study of the interaction of interference among users in the network is crucial for achieving better system performance. Efficient utilization of available resources in an interference system has two major complementary approaches: interference cancellation and resource allocation. The principal objective of this thesis is to develop efficient resource allocation algorithms that can optimize joint perfounance of multiple users in multi-user multi-carrier interference channels. Such resource allocation problems in multi-user interference channels can be formulized as nonconvex optimization problems. The search for the optimal solution is very challenging for these problems: conventional local optimization techniques are only capable of finding local optimum; In addition, resource allocation problems encountered in practice generally are large-scale ones, as the number of users or the number of sub-carriers in the system is typically large. For instance, digital subscriber lines (DSL) system, which is employed as a motivating practical model in this dissertation, has thousands of sub-carriers and large number of lines residing in a binder that cause interference to each other. Designing distributed and centralized resource allocation strategies to achieve good optimality and complexity tradeoff for multi-user interference systems by exploiting the underlining problem structures is the main focus of this thesis. This thesis develops two dynamic resource allocation strategies, responding to different requirements that might arise in various practical scenarios of DSL environment: one is a low-complexity, quasi-distributed algorithm that achieves near-optimal performance with very little centralized coordination; the other is a centralized algorithm based on global difference of convex (d.c.) optimization that guarantees optimal performance with substantial complexity reduction. Our global d.c. approach reveals the hidden convexity of nonconvex optimization problems in interference systems, which were once thought of completely being devoid of any convexity structure. The d.c. structure provides a general framework for designing efficient global optimization algorithm for resource allocation in multi-user interference channel. In particular, a modified prismatic branch and bound (PBnB) is proposed to find global optimum efficiently and its global convergence is also established by analysis. Furthermore, motivated by the observation that the excessive transmission power penalty incurred by zero forcing (ZF) precoding scheme with user selection algorithm for MIMO Broadcast (BC) channels contributing to sum-rate capacity loss, we also explore joint power allocation and interference pre-cancellation (precoding) for wireless MIMO BC channels. A channel inversion regularization (CIR) strategy is proposed to replace ZF as the precoding scheme to alleviate the excessive transmission power penalty and we formulate the maximization of the sum-rate capacity with CIR precoding into d.c. structure and thereafter its global optimum can be achieved with PBnB algorithm. Moreover, we propose a local optimization method based on gradient projection (GP) to achieve near-optimal solution efficiently and we also conduct asymptotic analysis to show that the proposed CIR precoding scheme can achieve asymptotically optimum sum rate equal to that of dirty paper coding (DPC) strategy."--
Author : Mr. Hao Zou
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (748 download)
Download or read book Dynamic Resource Management and Numerical Optimization written by Mr. Hao Zou and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The exponential increase in computing efficiency over the past few decades, known as Moore's law, has led to wide-spread commercial applications of resource management and optimization theory in various fields. This thesis researches the increasingly important roles dynamic and intelligent resource management and optimization algorithms have played in present-day communication networks and financial portfolio management. First, this thesis studies Dynamical Spectrum Management (DSM), an emerging technology for next-generation Digital Subscriber Line (DSL) access networks. Present DSL networks' speed and Quality-of Service (QoS) are often limited by the interference between multiple users sharing a common physical transmission medium. Compared to the traditional static network planning that limits network speed to survive laboratory contrived worst-case scenarios, DSM's dynamic resource management and optimization adapts to network channel and noise changes to improve speed and robustness significantly. A fast and robust Multi-Level Water-Filling (MLWF) DSM algorithm is proposed for the efficient management of multi-user DSL networks. Distributed protocols are also proposed for MLWF's low-overhead implementation in DSL access networks. Second, this thesis shows that DSM can also benefit Home Power-line Communication (PLC) networks, which utilize home power cords as the transmission medium with a Frequency-Division Multiple-Access (FDMA) resource allocation constraint. An Equivalent Interference (EI) is introduced to reformulate the nonlinear integer programming Home-PLC FDMA resource management problem into a special case of DSL's multi-user interference management problem. DSM algorithms can thus be applied to solve the FDMA resource allocation problem in Home-PLC networks. In addition, dynamic relay protocols based on the presented FDMA algorithms are proposed to reuse idle Home-PLC devices to increase PLC networks' data rate substantially. Third, this thesis studies dynamic asset allocation strategies for drawdown-limited portfolio management. The divergence between theoretical model assumptions and empirical financial time-series statistics are analyzed. Empirical simulation results demonstrate that theoretical drawdown-limited portfolio management strategies tend to over-leverage a portfolio with lagged and overly optimistic correlation and volatility estimate. Adjustment on the trading strategy is thus needed to balance the risk and return of a portfolio. Finally, this thesis analyzes investment managers' incentive alignment with investors under a utility maximization framework. Simulation results illustrate that mangers' and investors' interests can often be misaligned. An investor-led Stackelberg game strategy with dynamic fund outflows is proposed to mitigate such incentive misalignment. Numerical optimization results show that mitigation of the manager-investor conflict of interests is possible with the proposed Stackelberg game strategy.
Author : Sean Huberman
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (98 download)
Download or read book Dynamic Resource Allocation Techniques for Half- and Full-duplex Systems written by Sean Huberman and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The demand for data-intensive services is on the rise. In order to meet the demands, communication systems must increase their spectral efficiency (i.e., bits/s/Hz/Area). The more resources (e.g., time, frequency) are shared, the more interference will be present, but the higher the potential spectral efficiency gains if the interference can be effectively managed. The focus of this thesis is on the design of scalar and vectored Dynamic Power Allocation (DPA) transmission techniques to manage interference in severely interference-limited environments with applications to both wireline and wireless Half-Duplex (HD) and Full-Duplex (FD) systems. In particular, this thesis focuses on the design of practical, low-complexity scalar DPA- and precoding-based sum-rate maximization algorithms.For HD multi-link systems, a low-complexity distributed scalar DPA algorithm is proposed, introducing the concept of a virtual network, to achieve a near-ideal balance between performance, complexity, and sensitivity to users entering/leaving the system. As well, a lower-bound on the expected sum-rate is developed to provide better insight into the actual spectral efficiency of the system than existing models, which can be a useful tool for system operators to predict achievable data-rates.For FD systems, a FD Precoding (FDP) transceiver structure is proposed which applies precoding to jointly control the forward channel precoding and the self-interference cancellation, applicable for both FD MIMO-OFDM (Multiple-Input-Multiple-Output Orthogonal Frequency-Division Multiplexing) point-to-point and point-to-multi-point systems. The FDP structure allows for different algorithms and optimization objectives to be developed. Various separate and joint FDP algorithms are proposed and the results indicate that using the proposed FDP structure can provide between 1.6 to 1.8 times and between 1.2 to 1.3 times the spectral efficiency of optimized HD systems in a wide-range of practical FD MIMO point-to-point and point-to-multi-point scenarios, respectively." --
Author : Gordon Truan Bate
Publisher :
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4.:/5 (182 download)
Download or read book Dynamic Resource Allocation in a Real-time Distributed Computing System written by Gordon Truan Bate and published by . This book was released on 1987 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Eduardo Tovar
Publisher : Springer
ISBN 13 : 3540770968
Total Pages : 469 pages
Book Rating : 4.5/5 (47 download)
Download or read book Principles of Distributed Systems written by Eduardo Tovar and published by Springer. This book was released on 2008-04-12 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Principles of Distributed Systems, OPODIS 2007, held in Guadeloupe, French West Indies, in December 2007. The 32 revised full papers presented were carefully reviewed and selected from 106 submissions. The papers address all current issues in theory, specification, design and implementation of distributed and embedded systems. A broad range of topics are addressed.
Author : International Business Machines Corporation. Research Division
Publisher :
ISBN 13 :
Total Pages : 47 pages
Book Rating : 4.:/5 (375 download)
Download or read book Dynamic Resource Management on Distributed Systems Using Reconfigurable Applications written by International Business Machines Corporation. Research Division and published by . This book was released on 1997 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Efficient management of distributed resources, under conditions of unpredictable and varying workload, requires enforcement of dynamic resource management policies. Execution of such policies requires a relatively fine grain control over the resources allocated to jobs in the system. Although this is a difficult task using conventional job management and program execution models, reconfigurable applications can be used to make it viable. With reconfigurable applications, it is possible to dynamically change, during the course of program execution, the number of concurrently executing tasks of an application as well as the resources allocated. Thus, reconfigurable applications can adapt to internal changes in resource requirements and to external changes affecting available resources. In this paper, we discuss dynamic management of resources on distributed systems with the help of reconfigurable applications. We first characterize reconfigurable parallel applications. We then present a new programming model for reconfigurable applications and the Distributed Resource Management System (DRMS), an integrated environment for the design, development, execution, and resource scheduling of reconfigurable applications. Experiments were conducted to verify the functionality and performance of application reconfiguration under DRMS. A detailed breakdown of the costs in reconfiguration are presented with respect to several different applications. Our results indicate that application reconfiguration is effective under DRMS and can be beneficial in improving individual application performance as well as overall system performance. We observe a significant reduction in average job response time and an improvement in overall system utilization."
Author :
Publisher :
ISBN 13 :
Total Pages : 828 pages
Book Rating : 4.:/5 (318 download)
Download or read book Proceedings of the 1987 American Control Conference written by and published by . This book was released on 1987 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Uttam Kumar Sengupta
Publisher :
ISBN 13 :
Total Pages : 127 pages
Book Rating : 4.:/5 (221 download)
Download or read book A Distributed Planning System for Dynamic Resource Allocation written by Uttam Kumar Sengupta and published by . This book was released on 19?? with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lauritz Thamsen
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (15 download)
Download or read book Dynamic Resource Allocation for Distributed Dataflows written by Lauritz Thamsen and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 696 pages
Book Rating : 4.3/5 (91 download)
Download or read book American Doctoral Dissertations written by and published by . This book was released on 1985 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Leando Soares Indrusiak
Publisher : River Publishers
ISBN 13 : 8793519087
Total Pages : 178 pages
Book Rating : 4.7/5 (935 download)
Download or read book Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing written by Leando Soares Indrusiak and published by River Publishers. This book was released on 2016-10-31 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices regarding resource allocation alone can account for wide variability in timeliness and energy dissipation (up to several orders of magnitude). Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing covers dynamic resource allocation heuristics for manycore systems, aiming to provide appropriate guarantees on performance and energy efficiency. It addresses different types of systems, aiming to harmonise the approaches to dynamic allocation across the complete spectrum between systems with little flexibility and strict real-time guarantees all the way to highly dynamic systems with soft performance requirements. Technical topics presented in the book include: Load and Resource ModelsAdmission ControlFeedback-based Allocation and OptimisationSearch-based Allocation HeuristicsDistributed Allocation based on Swarm IntelligenceValue-Based Allocation Each of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments.
