Energy Cost Optimization in Large Scale Distributed Systems by Resource Allocation Technique - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Energy Cost Optimization in Large Scale Distributed Systems by Resource Allocation Technique write by Hüseyin Güler. This book was released on 2013. Energy Cost Optimization in Large Scale Distributed Systems by Resource Allocation Technique available in PDF, EPUB and Kindle.
Resource Allocation Optimization in Large Scale Distributed Systems
Resource Allocation Optimization in Large Scale Distributed Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Resource Allocation Optimization in Large Scale Distributed Systems write by Thuan Hong Duong-Ba. This book was released on 2014. Resource Allocation Optimization in Large Scale Distributed Systems available in PDF, EPUB and Kindle. We studied the problem of resource allocation in large scale distributed applications such as Online Social Networks (OSN) and Cloud Computing. In such settings, resource allocation schemes need to efficient as well as adaptive to the time-varying environments. The abstract resource allocation problem concerns with how to optimally use resources for different tasks. In the context of this dissertation, the resources are servers and the tasks are (a) the virtual machines in the cloud computing setting, and or users for on-line social network applications. It is well-known that the general resource allocation problem is NP-hard. Therefore, in this dissertation, we study a number of heuristic algorithms designed for two primary objectives: 1) achieve reliability via load balancing among resource providers and 2) minimizing the energy consumption by reducing unnecessary intercommunication loads among the servers. Specifically, the dissertation has three main components. The first component deals with optimal assignment of user data to servers to maximize load balance and minimize power consumption. In this component, we propose a novel Distributed Perturbed Greedy Search (DPGS) algorithm which combine both deterministic search and random search to speed the convergence while avoiding local optimum. The empirical shows that the DPGS has a fast convergence rate to the near optimal solution even when the environment changes. The second component deals with the analysis on the convergence rates of a general simulated annealing algorithm via the notion of adiabatic time. We then apply the results to characterize the convergence rates for simulated annealing algorithm when applied to the optimal assignment in the component one. Finally, the third component of the dissertation is concerned with optimal assignment of virtual machines to servers in the context of cloud computing, in order to minimize the energy subject to a given performance requirement. We show that the problem can be approximated well as a convex problem, and propose convex relaxation technique to find the optimal solution.
Large-scale Distributed Systems and Energy Efficiency
Large-scale Distributed Systems and Energy Efficiency - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Large-scale Distributed Systems and Energy Efficiency write by Jean-Marc Pierson. This book was released on 2015-03-05. Large-scale Distributed Systems and Energy Efficiency available in PDF, EPUB and Kindle. Addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks With concerns about global energy consumption at an all-time high, improving computer networks energy efficiency is becoming an increasingly important topic. Large-Scale Distributed Systems and Energy Efficiency: A Holistic View addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks. After an introductory overview of the energy demands of current Information and Communications Technology (ICT), individual chapters offer in-depth analyses of such topics as cloud computing, green networking (both wired and wireless), mobile computing, power modeling, the rise of green data centers and high-performance computing, resource allocation, and energy efficiency in peer-to-peer (P2P) computing networks. Discusses measurement and modeling of the energy consumption method Includes methods for energy consumption reduction in diverse computing environments Features a variety of case studies and examples of energy reduction and assessment Timely and important, Large-Scale Distributed Systems and Energy Efficiency is an invaluable resource for ways of increasing the energy efficiency of computing systems and networks while simultaneously reducing the carbon footprint.
Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing write by Leando Soares Indrusiak. This book was released on 2022-09-01. Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing available in PDF, EPUB and Kindle. 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 Models• Admission Control• Feedback-based Allocation and Optimisation• Search-based Allocation Heuristics• Distributed Allocation based on Swarm Intelligence• Value-Based AllocationEach of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments.
Energy Efficiency in Large Scale Distributed Systems
Energy Efficiency in Large Scale Distributed Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Energy Efficiency in Large Scale Distributed Systems write by Jean-Marc Pierson. This book was released on 2013-09-20. Energy Efficiency in Large Scale Distributed Systems available in PDF, EPUB and Kindle. This book constitutes revised selected papers from the Conference on Energy Efficiency in Large Scale Distributed Systems, EE-LSDS, held in Vienna, Austria, in April 2013. It served as the final event of the COST Action IC0804 which started in May 2009. The 15 full papers presented in this volume were carefully reviewed and selected from 31 contributions. In addition, 7 short papers and 3 demo papers are included in this book. The papers are organized in sections named: modeling and monitoring of power consumption; distributed, mobile and cloud computing; HPC computing; wired and wireless networking; and standardization issues.
