ISAM(1) is a proposal directed to resource management in heterogeneous networks, supporting physical and logical mobility, dynamic adaptation and the execution of distributedapplications based on components. In order...
详细信息
ISBN:
(纸本)0769517722
ISAM(1) is a proposal directed to resource management in heterogeneous networks, supporting physical and logical mobility, dynamic adaptation and the execution of distributedapplications based on components. In order to achieve its goals, ISAM uses, as strategy, an integrated enviromnent that: (a) provides a programming paradigm and its execution environment;(b) handles the adaptation process through a multilevel collaborative model, in which both the system and the application contribute. In this paper we discuss the main mechanisms used to implement the ISAM features, and we also present a parallel application that explores some of this features.
Processors with Hyper-Threading technology can improve the performance of applications by permitting a single processor to process data as if it were two processors by executing instructions from different threads in ...
详细信息
PDC at UM, is a series of "codeless" modules consisting of visualizations, simulations, and demonstrations which introduce parallel and distributed Computing (PDC) concepts in early computing courses. These ...
详细信息
ISBN:
(纸本)9798350364613;9798350364606
PDC at UM, is a series of "codeless" modules consisting of visualizations, simulations, and demonstrations which introduce parallel and distributed Computing (PDC) concepts in early computing courses. These materials are codeless because they do not require students to write or understand code. Instead, students read a short introduction to a PDC concept and Then engage with a web-based visualization and/or (code-based) demonstration reinforcing the concept. The codeless nature of these modules makes them suitable for computing and non computing majors. To test the effectiveness of our modules we introduced them into two CSI courses and designed and administered a pre/posttest. Our results show statistically significant results: those who engaged with our modules substantially improved their knowledge and understanding of PDC concepts. Our modules also improved student attitudes, confidence and self-efficacy with respect to PDC topics. We also provide some qualitative observations of our study and identify common misconceptions students have about PDC.
Presents an implementation of a depth-first heuristic tree search on the single-instruction, multiple-data (SIMD) Connection Machine. The algorithm is based on Iterative-Deepening-A. Until recently, only highly regula...
详细信息
In Internet of Thing (ToT) system based on edge intelligence, pay-for-use demand has become a consensus, and the pricing of ToT services has attracted the attention of academia and industry. The pricing method based o...
详细信息
In this paper, we explore the feasibility of achieving gigabit baseband throughput using the vast computational power offered by the graphics processors (GPUs). One of the most computationally intensive functions comm...
详细信息
Combining virtual machine technology, virtual computing is able to effectively aggregate the widely distributed resources to provide users services. We view the federation of multiple data centers and voluntary resour...
详细信息
Hadoop is an efficient and simple parallel framework following the MapReduce paradigm, and making the parallelprocessing recently become a hot issue in data-intensive applications. Since Hadoop can be easily deployed...
详细信息
ISBN:
(纸本)9781467345651;9780769549033
Hadoop is an efficient and simple parallel framework following the MapReduce paradigm, and making the parallelprocessing recently become a hot issue in data-intensive applications. Since Hadoop can be easily deployed on large-scale clusters including up to thousands of computers, various studies intend to process common relational database operations also on this new platform and expect to achieve a remarkable performance. However, these works have to prepare customized programs according to different input format, making the communication between co-workers difficult. Additionally, all intermediate data have to be transformed to key-value pairs and then transferred through the underlying HDFS, making the data processable by Map and Reduce tasks and keeping a balanced workload on the cluster. During this period, unnecessary overhead decreases both the speed-up and scale-up of these systems. Therefore, this paper attempts to propose a light and efficient coupling structure thus to combine Hadoop with single-computer databases on the engine level. On one hand, it uses a well-designed parallel data model to make end-users represent parallel queries like common queries. All current and future data types and algorithms can be used directly, having no need to be specifically changed for the parallel platform. On the other hand, it provides a simple and independent distributed file system to transfer data among database engines directly, without passing through HDFS, hence to remove as much as possible unnecessary transform and transfer overhead. For purpose of demonstration, a prototype parallel SECONDO is introduced in this paper. It has been fully evaluated in both small and large scale clusters, achieving satisfactory performances for different database operations.
Rational and selfish nodes in P2P systems usually lack effective incentives to cooperate, contributing to the increase of free-riders, and degrading the system performance. Various attacks such as whitewashing, collus...
详细信息
Modular parallelapplications can be structured by parallel tasks that implement the modules. The dependence structure of such parallelapplications gives rise to a scheduling problem, which is determined either stati...
详细信息
暂无评论