30 research outputs found

    Evaluating performance of web services in cloud computing environment with high availability

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    This paper presents an methodology for attaining high availability to the demands of the web clients. In order to improve in response time of web services during peak hours dynamic allocation of host nodes will be used in this research work. As web users are very demanding: they expect web services to be quickly accessible from the world 24*7. Fast response time leads to high availability of web services, while slow response time degrades the performance of web services. With the increasing trend of internet, it becomes a part of life. People use internet to help in their studies, business, shopping and many more things. To achieve this objective LAMP platform is used which are Linux, Apache, My SQL, and PHP. LAMP is used to increase the quality of product by using open source software. The proposed strategy will work as middle layer and provide highly availability to the web clients

    Dendrimeric Light-Harvesting System

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    Search Based Software Engineering

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    Abstract This paper reviews the search based software engineering research and finds the major milestones in this direction. The SBSE approach has been the topic of several surveys and reviews. Search Based Software Engineering (SBSE) consists of the application of search-based optimization to software engineering. Using SBSE, a software engineering task is formulated as a search problem by defining a suitable candidate solution representation and a fitness function to differentiate between solution candidates. This paper gives an overview of major research studies undertaken in the domain

    Use of Visual Aids in Improving Immunization Rates

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    We assessed the use of visual aids in vaccine administration in the outpatient setting. Specifically, our objective was to determine if placing visual aids outlining vaccine guidelines in the adult outpatient primary care office would increase the compliance rate of immunizations; and if so, to what degree

    A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits

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    Context: Tangled commits are changes to software that address multiple concerns at once. For researchers interested in bugs, tangled commits mean that they actually study not only bugs, but also other concerns irrelevant for the study of bugs. Objective: We want to improve our understanding of the prevalence of tangling and the types of changes that are tangled within bug fixing commits. Methods: We use a crowd sourcing approach for manual labeling to validate which changes contribute to bug fixes for each line in bug fixing commits. Each line is labeled by four participants. If at least three participants agree on the same label, we have consensus. Results: We estimate that between 17% and 32% of all changes in bug fixing commits modify the source code to fix the underlying problem. However, when we only consider changes to the production code files this ratio increases to 66% to 87%. We find that about 11% of lines are hard to label leading to active disagreements between participants. Due to confirmed tangling and the uncertainty in our data, we estimate that 3% to 47% of data is noisy without manual untangling, depending on the use case. Conclusion: Tangled commits have a high prevalence in bug fixes and can lead to a large amount of noise in the data. Prior research indicates that this noise may alter results. As researchers, we should be skeptics and assume that unvalidated data is likely very noisy, until proven otherwise.Comment: Status: Accepted at Empirical Software Engineerin

    A systematic review of lignocellulosic biomass for remediation of environmental pollutants

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    Lignocellulosic wastes are the most promising feedstock, as they are the most inexpensive and abundantly renewable natural resource. The abundance of cellulose, lignin, and hemicellulose in feedstocks has been shown to be effective in eliminating persistent contaminants. Environmental issues, including the accumulation of agricultural waste, waste water treatment, and air pollution, could be resolved by producing value-added products like activated carbon from these wastes. Several biomass wastes were used to produce activated carbon using a two-step processing method that involved oxygen-free carbonisation and activation. This study examines the methods for making biochar from different lignocellulosic biomass sources. Furthermore, biochar modification significantly modifies surface area and pore volume. To determine the fundamental characteristics of biochar and to evaluate its potential for use in a variety of environmental applications, physical and chemical characterizations are required. Various widely used modern analytical techniques, such as scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), thermogravimetric analysis (TGA), X-ray photoelectron spectroscopy (XPS), transmission electron microscopy (TEM), nuclear magnetic resonance spectroscopy (NMR), Brunauer-Emmett-Teller (BET), and Raman spectroscopy, have been reviewed in this work. The potential mechanisms through which lignocellulosic biochars may absorb pollutants are outlined. In general, this review highlights the significance and potential of activated carbon formed from waste products for environmental remediation, demonstrating that biomass-originated activated carbon could have a significant impact on increasing economic viability and efficiently protecting the environment

    Exploring Design Level Class Cohesion Metrics

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