Resources over Internet have such intrinsic characteristics as growth, autonomy and diversity, which have brought many challenges to the efficient sharing and comprehensive utilization of these resources. This paper p...
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Resources over Internet have such intrinsic characteristics as growth, autonomy and diversity, which have brought many challenges to the efficient sharing and comprehensive utilization of these resources. This paper presents a novel approach for the construction of the Internet-based Virtual Computing Environment （iVCE）, whose sig- nificant mechanisms are on-demand aggregation and autonomic collaboration. The iVCE is built on the open infrastructure of the Internet and provides harmonious, transparent and integrated services for end-users and applications. The concept of iVCE is presented and its architectural framework is described by introducing three core concepts, i.e., autonomic element, virtual commonwealth and virtual executor. Then the connotations, functions and related key technologies of each components of the architecture are deeply analyzed with a case study, iVCE for Memory.
Program mode is a regular trajectory of the execution of a program that is determined by the values of its input variables. By exploiting program modes we may make Worst Case Execution Time (WCET) analysis more precis...
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ISBN:
(纸本)1595934081
Program mode is a regular trajectory of the execution of a program that is determined by the values of its input variables. By exploiting program modes we may make Worst Case Execution Time (WCET) analysis more precise. This paper presents a novel method to automatically find program modes and calculate the WCET of programs. It consists of two phases. In phase one, we firstly automatically find the modes of a program by mode-relevant program slicing;then we compute the precondition for each mode using a path-wise test data generation method;after that, we can either conclude that it is an infeasible path, or get its precondition. In phase two, we calculate the WCET estimate of each given mode for modern RISC processors with caches and pipelines. The experiments are demonstrated to show the effectiveness of the method. Copyright 2006 ACM.
Data replication introduces well-known consistency issues. This paper puts forward the question about data dependence in data consistency, which embodies pseudo-conflict updates and update dependency. According to tha...
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Rough set theory has been widely and successfully used in data mining, especially in classification field. But most existing rough set based classification approaches require computing optimal attribute reduction, whi...
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In this article we describe a method for selecting informative genes from microarray data. The method is based on clustering, namely, it first find similar genes, group them and then select informative genes from thes...
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Being a Java developer the decision of starting to use an integrated development environment (IDE) instead of a set of discrete programming tools, is to be taken sooner or later. This paper identifies the favorite fea...
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Being a Java developer the decision of starting to use an integrated development environment (IDE) instead of a set of discrete programming tools, is to be taken sooner or later. This paper identifies the favorite features to opt for, in selecting a suitable IDE, what should be used and by whom with plethora of such IDEs. Though IDEs are meant to facilitate program development and increase productivity, migrating developers might fall into a set of common pitfalls that could hinder productivity. Such pitfalls are indicated and discussed in the view of available IDE features
In this article we describe a method for selecting informative genes from microarray data. The method is based on clustering, namely, it first find similar genes, group them and then select informative genes from thes...
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In this article we describe a method for selecting informative genes from microarray data. The method is based on clustering, namely, it first find similar genes, group them and then select informative genes from these groups to avoid redundancy. A new gene similarity measure based on grey relational analysis (GRA), called grey relational grade (GRG), is used in clustering. Experiments on three public data sets demonstrate the effectiveness of our method
Data replication introduces well-known consistency issues. This paper puts forward the question about data dependence in data consistency, which embodies pseudo-conflict updates and update dependency. According to tha...
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Data replication introduces well-known consistency issues. This paper puts forward the question about data dependence in data consistency, which embodies pseudo-conflict updates and update dependency. According to that, an optimistic data consistency method is proposed. In our method, data object is partitioned into data blocks by fixed size, as the basic unit of data management. Updates are compressed by Bloom filter technique and propagated in double-path. Negotiation algorithms detect and reconcile update conflicts, and dynamic data management algorithms accommodate dynamic data processing. The results of the performance evaluation show that our method is an efficient method to achieve consistency, good dynamic property, and strong robustness.
In this paper, we present a robot middleware technology named Robot Software Communications Architecture (RSCA) for its use in networked home service robots. The RSCA provides a standard operating environment for the ...
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