Microscopic traffic simulation is effective for analyzing transportation networks, and distributed simulation modeling is the optimal approach for the simulation. In this paper, a pure distributed modeling framework (...
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ISBN:
(纸本)9781424406838
Microscopic traffic simulation is effective for analyzing transportation networks, and distributed simulation modeling is the optimal approach for the simulation. In this paper, a pure distributed modeling framework (called DMTSS) for large-scale traffic simulation is proposed. DMTSS consists of low-cost PCs networked by high-speed local area network, the heavy computational task is divided into multiple light subtasks according to transportation subnets, and subtasks are distributed to these PCs. A distributed database is used to hold necessary data, and a distributed synchronization mechanism is employed to improve the efficiency of synchronization. To ensure the system stably running for long time, the failure recovery scheme is presented to recover the system from error state. Implemented details such as communication and are also discussed. Analyses indicate that the proposed framework is scalable and reliable and effective.
The effects of the increase in the average temperature of the Earth's near-surface air and oceans in recent decades are dramatically manifest: desertification, glacier retreat, increased intensity and frequency of...
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ISBN:
(纸本)9781424408191
The effects of the increase in the average temperature of the Earth's near-surface air and oceans in recent decades are dramatically manifest: desertification, glacier retreat, increased intensity and frequency of hurricanes and extreme weather events. Monitoring the ecosystem is currently the only way we have to assist Governments in making sound decisions concerning the reduction of these dramatic effects and the protection of our environment. Satellite remote sensing data, offering the possibility of covering large spatial area with a high temporal frequency, represents the ideal solution to monitoring, but the huge data volume to process, calibrate and validate by in-situ dataset, cannot be operated effectively by traditional database and computational resources. Grid technology, easily providing powerful computational resources and efficient distributed data management, is an excellent solution for remote sensed data processing and management system. In this paper we present a prototype of a Remote Sensed Data processing system on Grid technology that allows, by a graphical interface, data selection and processing to validate SST measure particularly in costal area.
This paper presents a new design to manage neighbor replication for distributed database *** address how to build reliable system for managing transaction on Neighbor Replication Grid(NRG) in terms to preserve the dat...
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This paper presents a new design to manage neighbor replication for distributed database *** address how to build reliable system for managing transaction on Neighbor Replication Grid(NRG) in terms to preserve the data consistency and support advance *** first recall the model and technique of NRG that impose neighbors binary vote assignment to its logical grid structure on data *** on this model,we extent our work to design system for managing NRG transaction both in normal and failure *** present a result of correctness study on the system and finally an implementation of the system.
作者:
Gelbard, RSpiegler, IBar Ilan Univ
Grad Sch Business Adm Informat Syst Program IL-52900 Ramat Gan Israel Tel Aviv Univ
Recanati Grad Sch Management Technol & Informat Syst Program IL-69978 Tel Aviv Israel
Heterogeneous as well as distributed databases make data conflicts inevitable. Both tolerate the entry of conflicting values in data objects, e.g., the value "female" may be entered by one user whereas anoth...
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Heterogeneous as well as distributed databases make data conflicts inevitable. Both tolerate the entry of conflicting values in data objects, e.g., the value "female" may be entered by one user whereas another may put "male" in the same data object. Such inconsistencies in databases are common and are resolved routinely by built in structured mechanisms. Unresolved conflicts are typically quarantined till they can be resolved. But, there are situations for which there are no structured mechanisms to resolve conflicts while having to maintain application flow. Moreover, there are situations, i.e., medical or financial environments, in which conflicts must be stored so that their effects be analyzed for decision making. The current research proposes a model and a technique for living with database conflicts. The technique, named Temporal Branching, integrates and extends temporal oriented databases, temporal versioning, and log-file approaches and offers a solution and flexible structure readily accessible to retrieval and audits by standard DBMS software. A case study in health care delivery system is given to illustrate the problem and proposed solution.
This paper presents the use of numerical simulations coupled with optimization techniques in oil reservoir modeling and production optimization. We describe three main components of an autonomic oil production managem...
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This paper presents the use of numerical simulations coupled with optimization techniques in oil reservoir modeling and production optimization. We describe three main components of an autonomic oil production management framework. The framework implements a dynamic, data-driven approach and enables Grid-based large scale optimization formulations in reservoir modeling. (C) 2004 Elsevier B.V. All rights reserved.
By the summer of 2003, we had completed the installation of a new non-destructive beam position monitor (BPM) system to facilitate beam trajectory and energy correction for the SPring-8 linac. In all, 47 BPM sets were...
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By the summer of 2003, we had completed the installation of a new non-destructive beam position monitor (BPM) system to facilitate beam trajectory and energy correction for the SPring-8 linac. In all, 47 BPM sets were installed on the 1-GeV linac and three beam-transport lines. All of the BPM data acquisition system was required to operate synchronously with the electron beam acceleration cycle. We have developed an event-synchronized data acquisition system for the BPM data readout. We have succeeded in continuously taking all the BPMs data from six VME computers synchronized with the 10 pps operation of the linac to continuously acquire data. For each beam shot, the data points are indexed by event number and stored in a database. Using the real-time features of the Solaris operating system and distributed database technology, we currently have achieved about 99.9% efficiency in capturing and archiving all of the 10 Hz data. The linac BPM data is available for off-line analysis of the beam trajectory, but also for real-time control and automatic correction of the beam trajectory and energy. (c) 2005 Elsevier B.V. All rights reserved.
Objectives: The post decade has witnessed order of magnitude increases in computing power, data storage capacity and network speed, giving birth to applications which may handle large data volumes of increased complex...
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Objectives: The post decade has witnessed order of magnitude increases in computing power, data storage capacity and network speed, giving birth to applications which may handle large data volumes of increased complexity, distributed over the internet. Methods: Medical image analysis is one of the areas for which this unique opportunity likely brings revolutionary advances both for the scientist's research study and the clinician's everyday work. Grids [I] computing promises to resolve many of the difficulties in facilitating medical image analysis to allow radiologists to collaborate without having to co-locate. Results. The EU-funded MammoGrid project [2] aims to investigate the feasibility of developing a Grid-enabled European database of mammograms and provide an information infrastructure which federates multiple mammogram databases. This will enable clinicians to develop new common, collaborative and co-operative approaches to the analysis of mammographic data. Conclusion: This paper focuses on one of the key requirements for large-scale distributed mammogram analysis: resolving queries across a grid-connected federation of images.
Recently with the advent of the information technology and the wide spread use of the Internet, new user oriented production and logistic systems, such as the Supply Chain Management System, have been required in orde...
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ISBN:
(纸本)0769517692
Recently with the advent of the information technology and the wide spread use of the Internet, new user oriented production and logistic systems, such as the Supply Chain Management System, have been required in order to cope with the drastic and continuous changes on the markets and users' preferences. To achieve this purpose, the companies need to mutually integrate their database systems with heterogeneous requirements. Autonomous Decentralized database System (ADDS) is proposed as a system architecture in order to realize assurance when distributed database systems with heterogeneous requirements have to coexist in a common environment without violating each other characteristics. In this system architecture, a loose consistency management technology is proposed in order to let each database to autonomously update its own information while preserving the consistency of the total system. The autonomy of each site can be achieved by defining a data attribute, Allowable Volume (AV), at each DB within which each site can update. Moreover, a background coordination technology, performed by an autonomous mobile agent (MA), permits that the sites can coordinate and cooperate each other. The MA moves around the sites in order to continuously adjust and allocate AV by negotiating with them under evolving situations. Furthermore, the effectiveness of this assurance systems is experimentally shown in the supply-chain management system model by simulation.
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