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检索条件"机构=Centre For Parallel Computing Computing"

共 271 条记录，以下是71-80 订阅

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Scientific Workflow Makespan Reduction through Cloud Augmented Desktop Grids

Scientific Workflow Makespan Reduction through Cloud Augment...

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IEEE International Conference on Cloud computing Technology and Science (CloudCom)

作者： Christopher J. Reynolds Stephen Winter Gabor Z. Terstyanszky Tamas Kiss Pamela Greenwell Sandor Acs Peter Kacsuk Centre for Parallel Computing School of Electronics and Computer Science University of Westminster London UK Department of Biomedical Sciences University of Westminster London UK MTA SZTAKI Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

Scientific workflows are common in biomedical research, particularly for molecular docking simulations such as those used in drug discovery. Such workflows typically involve data distribution between computationally demanding stages which are usually mapped onto large scale compute resources. Volunteer or Desktop Grid (DG) computing can provide such infrastructure but has limitations resulting from the heterogeneous nature of the compute nodes. These constraints mean that reducing the make span of a given workflow stage submitted to a DG becomes problematic. Late jobs can significantly affect the make span, often completing long after the bulk of the computation has finished. In this paper we present a system capable of significantly reducing the make span of a scientific workflow. Our system comprises a DG which is dynamically augmented with an infrastructure as a service (IaaS) Cloud. Using this solution, the Cloud resources are used to process replicated late jobs. Our system comprises a core component termed the scheduler, which implements an algorithm to perform late job detection, Cloud resource management (instantiation and reuse), and job monitoring. We offer a formal definition of this algorithm, whilst we also provide an evaluation of our prototype using a production scientific workflow.

关键词： Bridges Portals Servers Monitoring Cloud computing Computer architecture

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Exploring workflow interoperability tools for neuroimaging data analysis

Exploring workflow interoperability tools for neuroimaging d...

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6th Workshop on Workflows in Support of Large-Scale Science, WORKS'11, Co-located with SC'11

作者： Korkhov, Vladimir Krefting, Dagmar Kukla, Tamas Terstyanszky, Gabor Z. Caan, Matthan Olabarriaga, Silvia D. Academic Medical Center Univ. of Amsterdam PO Box 22700 1100 DE Amsterdam NL Netherlands St. Petersburg State University Universitetskii prospekt 35 Petergof St. Petersburg Russia Charité - Universitätsmedizin Berlin Hindenburgdamm 30 12200 Berlin Germany Centre for Parallel Computing Univ. of Westminster 115 New Cavendish St W1W 6UAW London United Kingdom

ISBN: (纸本)9781450311007

Neuroimaging is a field that benefits from distributed computing infrastructures (DCIs) to perform data processing and analysis, which is often achieved using grid workflow systems. Collaborative research in neuroimaging requires ways to facilitate exchange between different groups, in particular to enable sharing, re-use and interoperability of applications implemented as workflows. The SHIWA project provides solutions to facilitate sharing and exchange of workflows between workflow systems and DCI resources. In this paper we present and analyse how the SHIWA platform was used to implement various usage scenarios in which workflow exchange supports collaboration in neuroscience. The SHIWA platform and the implemented solutions are described and analysed from the "user" perspective, in this case the workflow developers and the neuroscientists. We conclude that the platform in its current form is valuable for the foreseen usage scenarios, and we identify remaining challenges concerning management of multiple credentials and data transfers across DCIs. © 2011 ACM.

关键词： Interoperability

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A framework of Intelligent Environment with Smart-Active Objects (IESAO) for flexible and efficient crowd simulation 10

A framework of Intelligent Environment with Smart-Active Obj...

引用

Proceedings of the 2010 Spring Simulation Multiconference

作者： Liang, Anson Yuanxi Low, Malcolm Yoke Hean Lees, Michael Harold Cai, Wentong Zhou, Suiping Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

ISBN: (纸本)9781450300698

Agent-based crowd simulation has been widely applied in the analysis of evacuation safety under disastrous and terrorist circumstances. In crowd simulation, the virtual environment plays an important role in influencing human behavior and defining the scenario. The concepts of informed environment and smart objects have been adopted to improve the realism of the simulation by embedding semantic information in the environment. However, there is no formal approach of using these concepts in crowd simulation. In this paper, we propose a flexible and efficient framework of Intelligent Environment with Smart and Active Objects (IESAO). We properly define different types of entities and interactions, and describe the approach of modeling environment-related behavior in the intelligent environment. This framework gives a new perspective of modeling human behavior in the design phase. An implementation and a case study are discussed to show the flexibility and efficiency of this framework. © 2010 SCS.

关键词： Semantics

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Visualization and simulation tool for automated stowage plan generation system

Visualization and simulation tool for automated stowage plan...

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作者： Aye, Win Cho Low, Malcolm Yoke Hean Ying, Huang Shell Jing, Hsu Wen Fan, Liu Min, Zeng Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore

ISBN: (纸本)9789881701282

This paper presents a tool for the visualization and simulation of automated stowage plan generation for large containership. The stowage plan is generated automatically based on a heuristic algorithm. The allocation algorithm generates different stowage plan in three main stages which includes basic allocation, special container allocation and various stages of stability adjustments. The purpose of this study is to describe how visualization of stowage plan and simulation of allocation sequences can help in the formulation of new and better stowage allocation algorithm.

关键词： Visualization

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Improving ship stability in automated stowage planning for large containerships

Improving ship stability in automated stowage planning for l...

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作者： Min, Zeng Low, Malcolm Yoke Hean Jing, Hsu Wen Ying, Huang Shell Fan, Liu Aye, Win Cho Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore

ISBN: (纸本)9789881701282

Stowage planning for container vessels concerns the core competence of the shipping lines. As such, automated stowage planning has attracted much research in the past two decades, but with few documented successes. In an ongoing project, we are developing a prototype stowage planning system aiming for large containerships. The system consists of three modules: the stowage plan generator, the stability adjustment module, and the optimization engine. This paper mainly focuses on the stability adjustment module. The objective of the stability adjustment module is to check the global ship stability of the stowage plan produced by the stowage plan generator and resolve the stability issues by applying a heuristic algorithm to search for alternative feasible locations for containers that violate some of the stability criteria. We demonstrate that the procedure proposed is capable of solving the stability problems for a large containership with more than 5000 TEUs.

关键词： Automation

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Self-adaptive mechanism for multi-objective evolutionary algorithms

Self-adaptive mechanism for multi-objective evolutionary alg...

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作者： Zeng, Fanchao Low, Malcolm Yoke Hean Decraene, James Zhou, Suiping Cai, Wentong Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore

ISBN: (纸本)9789881701282

Evolutionary algorithms can efficiently solve multi-objective optimization problems (MOPs) by obtaining diverse and near-optimal solution sets. However, the performance of multi-objective evolutionary algorithms (MOEAs) is often limited by the suitability of their corresponding parameter settings with respect to different optimization problems. The tuning of the parameters is a crucial task which concerns resolving the conflicting goals of convergence and diversity. Moreover, parameter tuning is a time-consuming trial-and-error optimization process which restricts the applicability of MOEAs to provide real-time decision support. To address this issue, we propose a self-adaptive mechanism (SAM) to exploit and optimize the balance between exploration and exploitation during the evolutionary search. This "explore first and exploit later" approach is addressed through the automated and dynamic adjustment of the distribution index of the simulated binary crossover (SBX) operator. Our experimental results suggest that SAM can produce satisfactory results for different problem sets without having to predefine/pre-optimize the MOEA's parameters. SAM can effectively alleviate the tedious process of parameter tuning thus making on-line decision support using MOEA more feasible.

关键词： Evolutionary algorithms

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Stowage planning of large containership with tradeoff between crane workload balance and ship stability

Stowage planning of large containership with tradeoff betwee...

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作者： Fan, Liu Low, Malcolm Yoke Hean Ying, Huang Shell Jing, Hsu Wen Min, Zeng Aye, Win Cho Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore

ISBN: (纸本)9789881701282

This paper describes an effective algorithm for generating basic stowage plans of large containership calling at a given number of ports. The algorithm applies an efficient block-based container allocation heuristic method of our previous work and taking into considerations more constraints in the real-world operations of commercial shipping line. The algorithm divides the cargo-space of a large containership into blocks, and assigns groups of containers to different partitions of the ship according to a set of heuristic rules. We present a practical test case and analyze the stowage plan generated by our system based on critical measurements such as the number of re-handles, crane intensity and ship stability.

关键词： Cranes

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Dam break flow simulation on grid

Dam break flow simulation on grid

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作者： Kačeniauskas, Arnas Pacevič, Ruslan Katkevičius, Tomas Laboratory of Parallel Computing Vilnius Gediminas Technical University Sauletekio 11 LT-10223 Vilnius Lithuania Computing Centre Vilnius Gediminas Technical University Sauletekio 11 LT-10223 Vilnius Lithuania

In this contribution we report on a dam break flow simulation on gLite based grid infrastructure. The dam break problem including breaking waves is solved by the pseudo-concentration method improved by interface sharpening technique. The developed interface sharpening procedure helps to preserve interface sharpness and mass conservation. The com-puted position of the leading edge of water column has been compared with the experimental measurements. © 2009, Institute of Problems of Mechanical Engineering.

关键词： Flow simulation

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Modeling Human-Like Decision Making for Virtual Agents in Time-Critical Situations

Modeling Human-Like Decision Making for Virtual Agents in Ti...

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International Conference on Cyberworlds

作者： Linbo Luo Suiping Zhou Wentong Cai Michael Lees Malcolm Yoke Hean Low Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Singapore

Generating human-like behaviors for virtual agents has become increasingly important in many applications, such as crowd simulation, virtual training, digital entertainment, and safety planning. One of challenging issues in behavior modeling is how virtual agents make decisions given some time-critical and uncertain situations. In this paper, we present HumDPM, a decision process model for virtual agents, which incorporates two important factors of human decision making in time-critical situations: experience and emotion. In HumDPM, rather than relying on deliberate rational analysis, an agent makes its decisions by matching past experience cases to the current situation. We propose the detailed representation of experience case and investigate the mechanisms of situation assessment, experience matching and experience execution. To incorporate emotion into HumDPM, we introduce an emotion appraisal process in situation assessment for emotion elicitation. In HumDPM, the decision making process of an agent may be affected by its emotional states when: 1) deciding whether it is necessary to do a re-match of experience cases, 2) determining the situational context, and 3) selecting experience cases. We illustrate the effectiveness of HumDPM in crowd simulation. A case study for emergency evacuation in a subway station scenario is conducted, which shows how a varied crowd composition leads to different evacuation behaviors, due to the retrieval of different experiences and the variation of agents' emotional states.

关键词： Appraisal Decision making Humans Computational modeling Context Time factors Context modeling

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Gasimo: A global address space simulation model 10

Gasimo: A global address space simulation model

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3rd International ICST Conference on Simulation Tools and Techniques, SIMUTools 2010

作者： Marurngsith, Worawan Ibbett, Roland N. Department of Computer Science Faculty of Science and Technology Thammasat University Pathum Thani12121 Thailand Edinburgh Parallel Computing Centre University of Edinburgh EdinburghEH9 3JZ United Kingdom

ISBN: (纸本)9789639799875

The partitioned global address space (PGAS) programming model has gained attention as a robust model suitable for a diversity of emerging concurrent architectures. PGAS offers more scalability over the former distributed shared memory system (DSM) by supporting asynchronous execution based on message passing. Combining asynchronous communication with the facility to make the location of data transparent, applications written in PGAS languages have to trade off the benefits of concurrent architectures with the overhead caused by accessing distant memories. Here we present an effective simulation model to reflect the cost of distant memory accesses on a PGAS system. The model, called Gasimo, simulates a generic PGAS execution environment on top of a cluster of homogeneous dual-core machines. Gasimo is a parallel extension of a particular DSM simulator, called DSiMCluster, which has been implemented on top of a discrete event simulation (DES) engine known as HASE. © Copyright 2010 ICST.

关键词： Discrete event simulation

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