Guided-based systems are an alternative to natural language systems regarding the query construction method. We present a new solution that bridges the gap between these two types of systems by providing a hybrid inte...
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ISBN:
(纸本)9781424474226;9780769540887
Guided-based systems are an alternative to natural language systems regarding the query construction method. We present a new solution that bridges the gap between these two types of systems by providing a hybrid interface which combines a graphical query interface for query construction with the correspondent natural language expression automatically generated by the system.
The presented work is part of our long-term research goal to develop parallel SAT solving methods for large scale Peer-to-Peer Desktop Grids, which aggregate globally distributed resources. In such a parallel environm...
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The presented work is part of our long-term research goal to develop parallel SAT solving methods for large scale Peer-to-Peer Desktop Grids, which aggregate globally distributed resources. In such a parallel environment, appropriate strategies for dealing with massive parallelism are necessary. In particular, efficiency and at the same time robustness of the parallel methods must be ensured. In this paper, we report on a hybrid strategy for parallel SAT Solving, which combines exploratory and competition parallelism in an adaptive way to meet these goals.
Even though the area of parallelcomputing has existed for many decades, programming a parallel system for the execution of a single application is still a challenging problem than programming a sequential program on ...
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Even though the area of parallelcomputing has existed for many decades, programming a parallel system for the execution of a single application is still a challenging problem than programming a sequential program on single processor. In this paper we investigate a partitioning and scheduling strategy for splitting a non-uniform parallel program into smaller tasks and map them into different processors at runtime. We propose a parallel program model which use explicit parallelism to identify independent section and a dynamic scheduling technique to schedule those independent sections (tasks) using message passing to different processors. Finally we show the accuracy of the scheduling by balance the loads in different processors and reduce the communication cost.
Reputation systems provide a promising way to build trust relationships between users in distributed cooperation systems, such as file sharing, streaming, distributedcomputing and social network, through which a user...
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Reputation systems provide a promising way to build trust relationships between users in distributed cooperation systems, such as file sharing, streaming, distributedcomputing and social network, through which a user can distinguish good services or users from malicious ones and cooperate with them. However, most reputation models mainly focus on evaluating the qualities of different services in one dimension, but care less about the preferences of different users. This paper proposes a personalized reputation model which provides each user a personalized trust view on others according to his preference. In our approach, we aggregate the users' preferences with collaborative filtering method and qualify it with user similarity which is integrated into the computing of reputation values. The experimental results suggest that our model can resist possible kinds of malicious behaviors efficiently.
The continuous decentralisation and distribution of software, hardware, and human resources depends on a number of fundamental factors including the ability to provide desired Quality of Service (QoS) on resources ass...
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ISBN:
(纸本)9781424474226;9780769540887
The continuous decentralisation and distribution of software, hardware, and human resources depends on a number of fundamental factors including the ability to provide desired Quality of Service (QoS) on resources assembled dynamically from enterprises, service providers and customer systems. Despite recent developments there are still many challenges in efficient information delivery and management services for distributed architectures. In this work we are particularly interested with the use of intelligent decision making mechanisms for the management of distributed architectures. Our research aims at designing and developing an intelligent decision making mechanism for the management, distribution, control and optimisation of systems resources within large distributedsystems which allows dynamic system architecture configuration and provisioning.
On open digital computing infrastructure, various large-scale and complicated malicious behaviors are increasingly threatening the security of digital computing infrastructure. In this paper, a Cooperative Work Model ...
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On open digital computing infrastructure, various large-scale and complicated malicious behaviors are increasingly threatening the security of digital computing infrastructure. In this paper, a Cooperative Work Model (CRM) is presented by extending the conceptions of the Universal Turing Machine to deal with the threats. Then the Cooperative Work System Framework (CWSF) is derived from the model. Based on the framework, two practical Cooperative Work systems (CWSs) are developed to track and analyze the Botnet and DDoS on digital computing infrastructure respectively. The systems collectively use and coordinate various monitoring systemsdistributed in the back-bone network of the infrastructure. The experimental results of analyzing typical security events show that the framework and systems are efficient and effective to collaboratively use diverse related network systems for monitoring and analyzing the large-scale network events. Currently, the systems are running steadily in the monitoring environment of a large-scale back-bone network.
Combining virtual machine technology, virtual computing is able to effectively aggregate the widely distributed resources to provide users services. We view the federation of multiple data centers and voluntary resour...
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Combining virtual machine technology, virtual computing is able to effectively aggregate the widely distributed resources to provide users services. We view the federation of multiple data centers and voluntary resources on the Internet as a very large scale resource pool. Based on the tree structure of the pool, this paper proposes a virtual machine deployment algorithm, called iVDA, considers users' requests and the capabilities of the physical resources as well as the dynamic load, implements an adaptive mechanism to scheduling servers to host virtual machines forming virtual execution environments for various applications, and supports on-demand computing.
The previous study of pattern discovery in storage systems focus on sequential pattern (SP) mining in lower level traces, but they don't scale well to the application level. For patterns in application level are m...
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Previous work on the use of the Teleo-Reactive technique in high level software development has shown it to be a viable approach for autonomic systems. A T-R program can recover from unexpected events without knowing ...
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ISBN:
(纸本)9781424474226;9780769540887
Previous work on the use of the Teleo-Reactive technique in high level software development has shown it to be a viable approach for autonomic systems. A T-R program can recover from unexpected events without knowing the underlying source or cause of the problem and thus reduces the maintenance costs of software projects where unexpected events are a likely and frequent occurrence. Previous work has also highlighted the difficult nature of designing and structuring the high level logic in a T-R program and so this work aims to reduce the problem by providing a software engineering strategy that will both drive the program development and reduce the occurrence of logic problems.
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