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.
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 Computing and Applications: Models and Trends
Large-Scale Distributed Computing and Applications: Models and Trends - 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 Computing and Applications: Models and Trends write by Cristea, Valentin. This book was released on 2010-05-31. Large-Scale Distributed Computing and Applications: Models and Trends available in PDF, EPUB and Kindle. Many applications follow the distributed computing paradigm, in which parts of the application are executed on different network-interconnected computers. The extension of these applications in terms of number of users or size has led to an unprecedented increase in the scale of the infrastructure that supports them. Large-Scale Distributed Computing and Applications: Models and Trends offers a coherent and realistic image of today's research results in large scale distributed systems, explains state-of-the-art technological solutions for the main issues regarding large scale distributed systems, and presents the benefits of using large scale distributed systems and the development process of scientific and commercial distributed applications.
Coordination, Matchmaking, and Resource Allocation for Large-scale Distributed Systems
Coordination, Matchmaking, and Resource Allocation for 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 Coordination, Matchmaking, and Resource Allocation for Large-scale Distributed Systems write by Xin Bai. This book was released on 2006. Coordination, Matchmaking, and Resource Allocation for Large-scale Distributed Systems available in PDF, EPUB and Kindle. While existing grid environments cater to specific needs of a particular user community, we need to go beyond them and consider general-purpose large-scale distributed systems consisting of large collections of heterogeneous computers and communication systems shared by a large user population with very diverse requirements. Coordination, matchmaking, and resource allocation are among the essential functions of large-scale distributed systems. Although deterministic approaches for coordination, matchmaking, and resource allocation have been well studied, they are not suitable for large-scale distributed systems due to the large-scale, the autonomy, and the dynamics of the systems. We have to seek for nondeterministic solutions for large-scale distributed systems. In this dissertation we describe our work on a coordination service, a matchmaking service, and a macro-economic resource allocation model for large-scale distributed systems. The coordination service coordinates the execution of complex tasks in a dynamic environment, the matchmaking service supports finding the appropriate resources for users, and the macro-economic resource allocation model allows a broker to mediate resource providers who want to maximize their revenues and resource consumers who want to get the best resources at the lowest possible price, with some global objectives, e.g., to maximize the resource utilization of the system.
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.
