LARGE SCALE SYSTEMS MODELING
Simulation Infrastructure for Modeling Large Scale Neural Systems
... Computational efficiency is critical for large scale simulations. The run-time en- vironment must effectively utilize all available computational resources, such as the CPUs and system memory. In addition, ...
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A Modeling & Simulation Framework for Large-Scale Simulation
... This paper presents the architecture of a modeling and simulation environment, in which simulation components are composed to construct the simulation application. This simulation environment provides common ...
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Modeling large-scale human alteration of land surface hydrology and climate
... ecological systems is now widespread across the planet and is widening at an alarming ...the large river systems around the world have been heavily fragmented (Dynesius and Nilsson 1994; Vörösmarty ...
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Modeling Users’ Behavior from Large Scale Smartphone Data Collection
... A large volume of research in ubiquitous systems has been devoted to using data, that has been sensed from users’ smartphones, to infer their current high level context and ...from large-scale ...
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Hybrid case-base maintenance approach for modeling large scale case-based reasoning systems
... The average time taken to solve a new problem is defined as the efficiency of a CBR system. In case of a classical CBR system, the size of knowledge-base tends to increase with the pas- sage of time due to continuous ...
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Creativity in the Specification of Large-Scale Socio-Technical Systems
... for modeling the pros and cons of alternative approaches to constraint removal, and online libraries of digital images), in terms of stimulating creativity in our workshops, over and above what physical tools can ...
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Adaptive modeling for large-scale advertisers optimization
... A large body of work discussing paid search is devoted to finding models and techniques enabling the most precise prediction of click-ability of an ad when returned to a user ...deep systems can be ...
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Large Scale Syntactic Language Modeling with Treelets
... translation systems, and a great deal of research centers around refining models (Chen and Goodman, 1998), ef- ficient storage (Pauls and Klein, 2011; Heafield, 2011), and integration into decoders (Koehn, 2004; ...
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Large Scale Machine Learning on Debugging Machine Learning Systems
... We have described TensorFlow, a flexible data flowbased programming model, as well as single machine and distributed implementations of this programming model. The system is borne from real- world experience in ...
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Differential virtualization for large-scale system modeling
... student systems and that managing base virtual machines at the central storage was much simpler than distributing the base virtual machines to the ...operating systems; other organizations might require ...
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The Modeling and Analysis for the Large Scale Modular Energy Storage Systems Based on Complex Network
... The large-scale modular energy storage systems (MESS) technology is one of the key technologies in relieving power contradictions and achieving the sustainable energy ...
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An Energy-Aware Algorithm for Large Scale Foraging Systems
... in large-scale foraging systems with hundreds and thousands of agents where we consider a wider range of system sizes than the ones considered in literature works and in our previous work ...provides ...
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Software level green computing for large scale systems
... In [14], stealth scheduler is introduced which is specifically designed for Workstation-based Distributed system (WDS). WDS refers to the distributed worksta- tions that provide large computing capacity but WDS ...
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Optimizing Power Consumption in Large Scale Storage Systems
... a large and constant term in latency ...a large append-only log and writes always go to the log ...file systems! Reads require random-access, and hence do not avoid ...
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Rethinking Identity Management for Large-scale Distributed Systems
... Our framework… Trust Scores (CNSM 2011) Adaptive Puzzles (COMNET 2012) Green and Useful Puzzles Future (?) ( ) ( ) (IM 2013). • Trust score derived from a relationship between the source[r] ...
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Platform for Building Large-Scale Agent-Based Systems
... distributed systems, which must now be able to accept requests from different ...multiagent systems face yet another challenge, that of obtaining light intelligent agents that can be deployed in this type ...
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NFV Management and Orchestration in Large-Scale Distributed Systems
... Given the roles associated with NFV MANO functional blocks, their placement has a critical impact on the system scalability and performance, especially in large-scale and distributed NFV environments. ...
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A Classification Framework for Large-Scale Face Recognition Systems
... according to [9], there are more than 20 thousand such images from which more than 400 million image pairs can be sampled for training and testing. Moreover, the number of intra-personal image pairs and extra-personal ...
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Using Response Times for Modeling Missing Responses in Large-Scale Assessments
... and modeling different types of NRIs can be beneficial for understanding examinee performance as well as for informing deci- sions regarding the adequate treatment of missing values due to ...
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Towards efficient error detection in large scale HPC systems
... Gainaru et al. [42] proposed a log filtering approach to enhance failure de- tection. This method clusters similar events that tend to occur massively in sequence. In addition to clustering, Makanju et al. [95] went ...
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