Network emulation environment is great importance to the research of network protocols, applications and security mechanism. Large-scale network topology generation is one of key technologies to construct network emul...
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Designing storage systems to provide high availability in the face of failures needs the use of various data protection techniques, such as dual-controller RAID. The failure of controller may cause data inconsistencie...
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ISBN:
(纸本)9788988678251
Designing storage systems to provide high availability in the face of failures needs the use of various data protection techniques, such as dual-controller RAID. The failure of controller may cause data inconsistencies of RAID storage system. Heartbeat is used to detect controllers whether survival. So, the heartbeat cycle's impact on the high availability of a dual-controller hot-standby system has become the key of current research. To address the problem of fixed setting heartbeat in building high availability system currently, an adaptive heartbeat fault detection model of dual controller, which can adjust heartbeat cycle based on the frequency of data read-write request, is designed to improve the high availability of dual-controller RAID storage system. Additionally, this heartbeat mechanism can be used for other applications in distributed settings such as detecting node failures, performance monitoring, and query optimization. Based on this model, the high availability stochastic Petri net model of fault detection was established and used to evaluate the effect of the availability. In addition, we define a AHA (Adaptive Heart Ability) parameter to scale the ability of system heartbeat cycle to adapt to the environment which is changing. The results show that, relatively speaking with fixed configuration, the design is valid and effective, and can enhance dual controller RAID system high availability.
This paper presents the relative position estimation of multi-agent robots by using omnidirectional panoramic vision in simulated cyber space. It is more accurate and powerful to use multiple robot agents to estimate ...
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ISBN:
(纸本)9780889868625
This paper presents the relative position estimation of multi-agent robots by using omnidirectional panoramic vision in simulated cyber space. It is more accurate and powerful to use multiple robot agents to estimate the relative position of a single agent rather than by using another agent. However, there are many limitations, including a minimum space for constructing the system and the high initial cost for installing hardware robot agents. In this study, to resolve such constraints, multiagent robots were operated in Microsoft Robotics Developer Studio simulation space for the estimation of relative locations.
In software industry the major problem encountered during project scheduling is in deciding what proportion of the resources has allocated to the testing phase. In general it has been observed that about 40%-50% of th...
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In software industry the major problem encountered during project scheduling is in deciding what proportion of the resources has allocated to the testing phase. In general it has been observed that about 40%-50% of the resources need to be allocated to the testing phase. However it is very difficult to predict the exact amount of effort required to be allocated to testing phase. As a result the project planning goes haywire. The project which has not been tested sufficiently can cause huge losses to the organization. This research paper focuses on finding a method which gives a measure of the effort to be spent on the testing phase. This paper provides effort estimates during pre-coding and post-coding phases using neural network to predict more accurately.
In order to deliver a complete reliable software product, testing is performed. As testing phase carries on, cost of testing process increases and it directly affects the overall project cost. Many a times it happens ...
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In order to deliver a complete reliable software product, testing is performed. As testing phase carries on, cost of testing process increases and it directly affects the overall project cost. Many a times it happens that the actual cost becomes more than the estimated cost. Cost is considered as the most important parameter with respect to software testing, in software industry. In recent year’s researchers have done a variety of work in the area of Cost optimization by using various concepts like Genetic Algorithm, simulated annealing and Automation in generation of test data etc. This paper proposes an efficient cost effective approach for optimizing the cost of testing using Tabu Search (TS), which will provide maximum code coverage along with the concepts of Dijkstra’s Algorithm which will be implemented in Aspiration criteria of Tabu Search in order to optimize the cost and generate a minimum cost path with maximum coverage.
Color image retrieval based on histogram is analyzed and a novel method is proposed based on the image edge information. Firstly, the image edge is extracted by the use of the color vector angles because of its charac...
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The worm experimental environment is the pivotal foundation for the worm research. Existing methods to build the environment can be classified into three categories: mathematical modeling, simulation and emulation. Ho...
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Participants of a software project have a significant impact on whether the project could achieve success, and the relevant information can reflect some trustworthy properties of software. By studying a large number o...
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Object location Services (OLS) in MANET is a challenging issue due to limitation of the applications of MANET such as bandwidth, mobility, battery power, memory etc., For more significance and efficient results we hav...
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Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample i...
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