Testing-as-a-service (TaaS) is a new model to provide testing capabilities to end users. Users save the cost of complicated maintenance and upgrade effort, and service providers can upgrade their services without impa...
详细信息
Testing-as-a-service (TaaS) is a new model to provide testing capabilities to end users. Users save the cost of complicated maintenance and upgrade effort, and service providers can upgrade their services without impact on the end-users. Due to uneven volumes of concurrent requests, it is important to address the elasticity of TaaS platform in a cloud environment. Scheduling and dispatching algorithms are developed to improve the utilization of computing resources. We develop a prototype of TaaS over cloud, and evaluate the scalability of the platform by increasing the test task load;analyze the distribution of computing time on test task scheduling and test task processing over the cloud;and examine the performance of proposed algorithms by comparing others.
Rigidity and reflectivity are important properties of objects, identifying these properties is a fundamental problem for many computer vision applications like motion and tracking. In this paper, we extend our previou...
详细信息
Rigidity and reflectivity are important properties of objects, identifying these properties is a fundamental problem for many computer vision applications like motion and tracking. In this paper, we extend our previous work to propose a motion analysis based approach for detecting the object's rigidity and reflectivity. This approach consists of two steps. The first step aims to identify object rigidity based on motion estimation and optic flow matching. The second step is to classify specular rigid and diffuse rigid objects using structure from motion and Procrustes analysis. We show how rigid bodies can be detected without knowing any prior motion information by using a mutual information based matching method. In addition, we use a statistic way to set thresholds for rigidity classification. Presented results demonstrate that our approach can efficiently classify the rigidity and reflectivity of an object.
According to recent work, duplicate bug reports impact negatively on software maintenance and evolution productivity due to, among other factors, the increased time spent on report analysis and validation. Therefore, ...
详细信息
According to recent work, duplicate bug reports impact negatively on software maintenance and evolution productivity due to, among other factors, the increased time spent on report analysis and validation. Therefore, a considerable amount of time is lost mainly with duplicate bug report analysis. In this sense, this work presents am exploratory study using data from bug trackers from private and open source projects, in order to understand the possible factors (i.e. software life-time, size, amount of bug reports, etc.) that cause bug report duplication and its impact on software development. This work also discusses bug report characteristics that could help identifying duplicates.
This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation fr...
详细信息
This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation from accelerometer is possible. Accelerometer is placed on the measured object. The analog signal needs to be digitized by a special I/O device to be processed offline with FFT (Fast Fourier Transformation). The power spectrum is then examined by developed evaluating procedures.
ParticipART is an initiative aimed at exploring participation in interactive works using ubiquitous computing and mixed reality. It supports and analyses work of artists and creative practitioners incorporating or ref...
详细信息
Reinforcement learning suffers from inefficiency when the number of potential solutions to be searched is large. This paper describes a method of improving reinforcement learning by applying rule induction in multi-ag...
详细信息
Reinforcement learning suffers from inefficiency when the number of potential solutions to be searched is large. This paper describes a method of improving reinforcement learning by applying rule induction in multi-agent systems. Knowledge captured by learned rules is used to reduce search space in reinforcement learning, allowing it to shorten learning time. The method is particularly suitable for agents operating in dynamically changing environments, in which fast response to changes is required. The method has been tested in transportation logistics domain in which agents represent vehicles being routed in a simple road network. Experimental results indicate that in this domain the method performs better than traditional Q-learning, as indicated by statistical comparison.
The United States Environmental Protection Agency forecasts the 2011 national IT electric energy expenditure will grow toward $7.4 billion [1]. In parallel to economic IT energy concerns, the general public and enviro...
详细信息
ISBN:
(纸本)9781424476121
The United States Environmental Protection Agency forecasts the 2011 national IT electric energy expenditure will grow toward $7.4 billion [1]. In parallel to economic IT energy concerns, the general public and environmental advocacy groups are demanding proactive steps toward sustainable green processes. Our contribution to the solution of this problem is Environmentally Opportunistic computing (EOC). Our Green Cloud EOC prototype serves as an operational demonstration that IT resources can be integrated with the dominate energy footprint of existing facilities and dynamically controlled to balance process throughput, thermal transfer, and available cooling via process management and migration. The Green Cloud is a sustainable computing technology that complements existing efficiency improvements at the application, operating system and hardware levels. Exhaust heat energy is transferred directly to an adjacent greenhouse facility and cooling is provided by free cooling methods. We will describe the architecture and operation of this successful prototype that has led to its growing use in our production environments.
This paper proposes an ontology-based intelligent system for malware behavioral analysis. The design background and structure of the Taiwan Malware Analysis Net (TWMAN) are presented to analyze the malware behavior. T...
详细信息
This paper proposes an ontology-based intelligent system for malware behavioral analysis. The design background and structure of the Taiwan Malware Analysis Net (TWMAN) are presented to analyze the malware behavior. The TWMAN is composed of the malware behavioral analysis agent and the ontology agent. All of the essential information of the TWMAN, including the malware behavioral ontology, which is store in an ontology repository. The malware behavioral analysis agent collects the malware behavioral information to build malware behavioral ontology and malware behavioral rules. The results from the system logs show that the TWMAN can work effectively based on the malware behavioral analysis to protect the computers from the attack of computer viruses and Trojans.
Volumetric datasets obtained from scientific simulation and partial differential equation solvers are typically given in the form of non-rectilinear grids. The splatting technique is a popular direct volume rendering ...
详细信息
暂无评论