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The occupancy grid is a popular tool for probabilistic robotics, used for a variety of applications. Such grids are typically based on data from range sensors (e.g. laser, ultrasound), and the computation process is well known. The use of stereo-vision in this framework is less common, and typically treats the stereo sensor as a distance sensor, or fails to account for the uncertainties specific to...
Agent based technologies have become more and more widespread during the last few years and the number of practical applications has noticeable increased, especially in the new Grid Computing paradigm. Grid Computing system implementations are easily transferable into Cluster Grid environments. So, the main purpose of this research is to validate integration functionalities and performances of an...
In a grid environment, consumers get services provided by the service providers (SPs). The SPs are registered under one or more brokers and these brokers are registered under one or more regional resource administrators (RRAs) in the proposed hierarchical architecture. The consumers who are in need of services, requests the RRAs by providing their requirements. The RRA selects a suitable trustworthy...
What is a cloud application precisely? In this paper, we formulate a computing cloud as a kind of graph, a computing resource such as services or intellectual property access rights as an attribute of a graph node, and the use of a resource as a predicate on an edge of the graph. We also propose to model cloud computation semantically as a set of paths in a subgraph of the cloud such that every edge...
Under grid environment, a resource discovery mechanism could dramatically affect both performance and efficiency of the system. Currently, however, since most models of grid discovery are centralized, keyword based matching ones, outcomes of discovery could seldom cater customers' needs. This paper puts forward a grid resource discovery model (GRDM) based on formal ontology semantics (FOS) by analyzing...
The multi-sensor multi-target localization and data fusion problem is discussed, and a novel data fusion method called grid-based probability density matrix (GBPDM) is proposed. Dividing the common observe space into numerous of small grids, the measurements containing uncertainties can be represented by their sampled probability density functions. By adding probability density of all measurements...
We describe the main architecture and the design principles of the service/resource discovery system (SRDS), a component of the XtreemOS operating system. XtreemOS is a Linux extension that enables management and exploitation as single platform of computational resources provided by federated virtual organizations. The SRDS provides scalable and fault-tolerant directory services supporting many of...
The grid enables the facility of distributed resource sharing but can provide limited QoS guarantee to grid applications, e.g. in terms of execution time. In this paper, we propose a Committee-based Resource Evaluation and Selection Method (CRESM) to evaluate and select reliable resources for Users, which have higher possibility of finishing tasks in time and provide better QoS. CRESM is composed...
A macro-action is a typical series of useful actions that brings high expected rewards to an agent. Murata et al. have proposed an actor-critic model which can generate macro-actions automatically based on the information on state values and visiting frequency of states. However, their model has not assumed that generated macro-actions are utilized for leaning different tasks. In this paper, we extend...
We propose a method of sampling regular and irregular-grid volume data for visualization. The method is based on the Metropolis algorithm that is a type of Monte Carlo technique. Our method enables `importance sampling' of local regions of interest in the visualization by generating sample points intensively in regions where a user-specified transfer function takes the peak values. The generated sample-point...
Grid computing architecture was defined to be a complete physical layer. The functions of information systems based on grid architecture are resources sharing, collaborative processing, etc. System performance is calculated from resource usages of all grid nodes. If we have load-balancing in all grid nodes, we will have good performance in the system. All the grid nodes are divided to supervisor,...
All chemistry software has its own language and provides its corresponding script editor. A complex chemical job running in Grid environment often requires different chemistry software's collaboration. The chemist edits computational chemistry program locally, then submits them to the Grid environment. Therefore, chemists need to use appropriate chemical editors for syntax checking when modifying...
The trust rating of recommendation for one entity greatly depends on the trust in the recommenders' ability to provide recommendations. To prevent the cahoots, cheating and fluctuant fraudulence in recommendation, we studied the characteristics of the two classes of true and false recommendation. On the basis of the analysis of the feature set, a distinguishing model is created to effectively identify...
The security of the web-service program is a very significant facet in the grid computing environment. A fuzzer is a program that attempts to discover security vulnerabilities by sending random input to an application. How to efficiently reduce the fuzzing data scale with the assurance of high fuzzing veracity and vulnerability coverage is a very important issue for its effective practice. In this...
In this paper, we propose a novel algorithm for clustering high dimensional data streams with representative data points. The fixed-size interval partitioning adopted in traditional grid based clustering methods can not capture clusters in each dimension well when they are applied in evolving high dimensional data streams. It may generate unnecessary dense grids which misrepresent clusters in a subspace...
Since numerous large-scale scientific applications executed on grids are expressed as complex scientific workflows, workflow management has appeared as one of the most important service in grid environment in past few years. However, most of the management systems do not fully hide the complexity of the underlying orchestration language. Meanwhile, grid environment is dynamic when each scientist involves...
Grid computing integrates scattered clusters, servers, storages and networks in different geographic locations to form a virtual super-computer. Along with the development of grid computing, dealing with the data distribution requires a method which is faster and more effective for parallel applications in order to reduce data exchange between clusters. In this paper, we present two methods to reduce...
Grid technology has been intensively developed lasting recent years, due to a need for high performance computing to process large amounts of data distributed around global networks. In addition to the improved performance obtained by parallel processing, this technology enables resources distributed among different nodes to be shared. In this study, the problem of transferring files that are generated...
In this paper, we propose a volume rendering method using grid computing for large-scale volume data. Grid computing is attractive because medical institutions and research facilities often have a large number of idle computers. A large-scale volume data is divided into sub-volumes and the sub-volumes are rendered using grid computing. When using grid computing, different computers rarely have the...
Grid information service is an inherent component of a grid system which collects resource data and provides search functionality. In addition to efficiency, fidelity in discovering desired resources is also an important metric to evaluate the service quality. Recently, a number of grid information service systems have been proposed based on DHTs. However, these systems either achieve high fidelity...
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