Choosing the best resource by method of mamdani

QoS-based Computing Resources Partitioning between Virtual Machines in the Cloud Architecture

Cloud services have been used very widely, but configuration of the parameters, including the efficient allocation of resources, is an important objective for the system architect. The article is devoted to solving the problem of choosing the architecture of computers based on simulation and developed program for monitoring computing resources. Techniques were developed aimed at providing the required quality of service and efficient use of resources. The article describes the monitoring program of computing resources and time efficiency of the target application functions. On the basis of thi…

A Study on Optimized Resource Provisioning in Federated Cloud

Cloud computing changed the way of computing as utility services offered through public network. Selecting multiple providers for various computational requirements improves performance and minimizes cost of cloud services than choosing a single cloud provider. Federated cloud improves scalability, cost minimization, performance maximization, collaboration with other providers, multi-site deployment for fault tolerance and recovery, reliability and less energy consumption. Both providers and consumers could benefit from federated cloud where providers serve the consumers by satisfying Service …

CARMA: Contention-aware Auction-based Resource Management in Architecture

As the number of resources on chip multiprocessors (CMPs) increases, the complexity of how to best allocate these resources increases drastically. Because the higher number of applications makes the interaction and impacts of various memory levels more complex. Also, the selection of the objective function to define what \enquote{best} means for all applications is challenging. Memory-level parallelism (MLP) aware replacement algorithms in CMPs try to maximize the overall system performance or equalize each application's performance degradation due to sharing. However, depending on the selecte…

GlideinBenchmark：收集资源信息以优化资源供应

GlideinBenchmark: collecting resource information to optimize provisioning

针对云资源基准测试费力耗时的问题，本文提出基于GlideinWMS试点基础设施的Web应用GlideinBenchmark，可自动化资源最优选择，助力调度器优化资源供应。