A fizzy model based on-line turn fault detection approach for induction motors is presented
in this paper. Two TS fizzy models are employed to detect turn fault, one is used to estimate …

Publicly available Peer-to-PeerMapReduce (P2P-MapReduce) frameworks suffer lack of
practical implementation, which significantly reduces their role in system engineering …

MapReduce is commonly used as a parallel massive data processing model. When
deploying it as a service over the open systems, the computational integrity of the …

MapReduce is a programming framework for processing large amount of data in distribution.
MapReduce implementations, such as Hadoop MapReduce, basically operate on dedicated …

In this study the work presents the system designed for automated load balancing of the
contributor by analysing the load of compute nodes and the subsequent migration of virtual …

In past years, Cloud computing is gained more attention in industry and academic area. The
advance technologies are needed to match the demand of the development of cloud …

MapReduce is one of the most popular programming models for parallel data processing in
Cloud environments. Standard MapReduce implementations are based on centralized …

在MapReduce 模型任务处理过程中, 当Reduce 任务开始执行, 远程拉取Map
阶段的输出数据时, 会消耗大量的网络带宽, 甚至会出现网络瓶颈问题. 本文提出基于数据本地化 …

MapReduce is widely utilized as a typical computation model of mass data processing.
When a MapReduce framework is deployed in an open computation environment, the …

This master thesis presents the design and implementation of a prototype for executing
MapReduce jobs on a peer-to-peer system (TomP2P) with high user implementation …