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.
Energy Cost Optimization in Large Scale Distributed Systems by Resource Allocation Technique
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.
Large-Scale and Distributed Optimization
Large-Scale and Distributed Optimization - 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 and Distributed Optimization write by Pontus Giselsson. This book was released on 2018-11-11. Large-Scale and Distributed Optimization available in PDF, EPUB and Kindle. This book presents tools and methods for large-scale and distributed optimization. Since many methods in "Big Data" fields rely on solving large-scale optimization problems, often in distributed fashion, this topic has over the last decade emerged to become very important. As well as specific coverage of this active research field, the book serves as a powerful source of information for practitioners as well as theoreticians. Large-Scale and Distributed Optimization is a unique combination of contributions from leading experts in the field, who were speakers at the LCCC Focus Period on Large-Scale and Distributed Optimization, held in Lund, 14th–16th June 2017. A source of information and innovative ideas for current and future research, this book will appeal to researchers, academics, and students who are interested in large-scale optimization.
Resource Allocation In Large-Scale Distributed Systems
Resource Allocation 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 In Large-Scale Distributed Systems write by Mehrnoosh Shafiee. This book was released on 2021. Resource Allocation In Large-Scale Distributed Systems available in PDF, EPUB and Kindle. We propose a myopic algorithm that is computationally efficient and prove that it asymptotically minimizes the total network cost using a convex optimization model, fluid limit and Lyapunov analysis. We further propose randomized versions of our myopic algorithm. The second model consider the case that there is dependence among flows. Specifically, a coflow is defined as a collection of parallel flows whose completion time is determined by the completion time of the last flow in the collection. Our main result is a 5-approximation deterministic algorithm that schedule coflows in polynomial time so as to minimize the total weighted completion times. The key ingredient of our approach is an improved linear program formulation for sorting the coflows followed by a simple list scheduling policy. Lastly, we study scheduling coflows of multi-stage jobs to minimize the jobs' total weighted completion times. Each job is represented by a DAG (Directed Acyclic Graph) among its coflows that captures the dependencies among the coflows.
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.
