This guide introduces the Java 2 micro edition (J2ME) mobile information device profile (MIDP), and explains how to develop multimedia messaging service (MMS) and wireless application protocol (WAP) based thin-client applications for mobile Nokia devices. The authors discuss the Bluetooth API, optimization techniques, end-to-end design patterns, and scalability best practices, and provide an example photo viewer application, action game, and networked mobile web log. Annotation :2004 Book News, Inc., Portland, OR (booknews.com).
Learn the tricks of the trade so you can build and architect applications that scale quickly--without all the high-priced headaches and service-level agreements associated with enterprise app servers and proprietary programming and database products. Culled from the experience of the Flickr.com lead developer, Building Scalable Web Sites offers techniques for creating fast sites that your visitors will find a pleasure to use. Creating popular sites requires much more than fast hardware with lots of memory and hard drive space. It requires thinking about how to grow over time, how to make the same resources accessible to audiences with different expectations, and how to have a team of developers work on a site without creating new problems for visitors and for each other. Presenting information to visitors from all over the world Integrating email with your web applications Planning hardware purchases and hosting options to have as much as you need without breaking your wallet Partitioning and distributing databases to support large datasets and simultaneous transactions Monitoring your applications to find and clear bottlenecks * Providing services APIs and using services from other providers to increase your site's reach and capabilities Whether you're starting a small web site with hopes of growing big or you already have a large system that needs maintenance, you'll find Building Scalable Web Sites to be a library of ideas for making things work.
Doctoral Thesis / Dissertation from the year 2009 in the subject Business economics - Information Management, grade: 1,0, University of Graz, language: English, abstract: The Semantic Web has become reality over the past couple of years. While certain practical topics-such as interoperability, etc.-have at least partially been addressed, scalability and expressivity issues regarding the utilisation of multimedia metadata on the Semantic Web are still widely neglected. However, existing Web (2.0) applications handling millions of multimedia assets are starting to take advantage of Semantic Web technologies. This work contributes to design decisions regarding scalable and smart multimedia applications on the Semantic Web. Based on an analysis of practical issues-stemming from diverse projects and activities the author has participated in over the past four years-three areas have been identified, namely (i) performance and scalability issues on the data access level, (ii) the effective and efficient representation of multimedia content descriptions, and (iii) the deployment of multimedia metadata on the Semantic Web. The three research areas have as its common base the trade-off between expressivity and scalability. We present our findings regarding scalable, yet expressive Semantic Web multimedia applications in a number of practical settings and discuss future directions, such as interlinking multimedia.
This comprehensive resource offers professionals detailed guidance on the engineering aspects of building software for wireless communications. From design and architecture to security and testing, the book shows how to overcome every engineering challenge encountered in successfully developing wireless software.
🚀 TAKE ADVANTAGE OF THE PROMOTIONAL LAUNCH PRICE OF THE YEAR 🚀 Become a Python expert with "40 Python Libraries: An Essential Guide for Students and Professionals - 2024 Edition". This guide by Diego Rodrigues is a must-have for students, developers, and professionals who want to master Python and its practical applications. Dive into the Python ecosystem by exploring powerful libraries. Use NumPy for scientific computing, Pandas for data analysis, Matplotlib and Seaborn for visualization, Scikit-learn for machine learning, TensorFlow and Keras for deep learning. Web development becomes easy with Flask and Django, while Requests and BeautifulSoup simplify web scraping. Enhance computer vision skills with OpenCV and Pillow, and develop games with PyGame. Discover SciPy for scientific computing and SymPy for symbolic mathematics. Use Statsmodels for data analysis and visualize interactively with Plotly and Bokeh. Explore NLP with NLTK and spaCy, neural networks with PyTorch, graph analysis with NetworkX, and data mining with Scrapy. SQLAlchemy optimizes databases, Celery for parallel processing, and PandasQL integrates SQL with DataFrames. Handle big data with Dask, test software with PyTest, and use Jupyter for interactive notebooks. Leverage Hadoop and Spark for Big Data, and Kivy and Tkinter for graphical interfaces. Apply these libraries to practical projects: analyzing large datasets, building predictive models, developing web and mobile applications, automating tasks, and integrating with platforms like AWS, Google Cloud, and Microsoft Azure. With this book, acquire the skills to innovate and lead in the competitive tech world, tackling challenges efficiently. Transform your skills into a strategic advantage. This practical, results-focused book accelerates your learning and boosts your career. Get your copy and start mastering Python and its libraries, turning challenges into effective solutions. Python programming, scientific computing, data analysis, visualization, machine learning, artificial intelligence, neural networks, automation, web development, cybersecurity, big data, software engineering, computer science, statistical analysis, data mining, machine learning, deep learning, web frameworks, RESTful APIs, cloud computing, technological innovation, operational efficiency, data science, computer vision, natural language processing, IoT, cloud security, DevOps, predictive analytics, Docker, Kubernetes, Hadoop, Spark, SQL, NoSQL, sentiment analysis, A/B testing, predictive modeling, systems design, prototyping, SCRUM, Agile, project management, business analysis. Tags: Python NumPy Pandas Matplotlib Seaborn Scikit-learn TensorFlow Keras Flask Django Requests BeautifulSoup OpenCV Pillow PyGame SciPy SymPy Statsmodels Plotly Bokeh NLTK spaCy PyTorch NetworkX Scrapy SQLAlchemy Celery PandasQL Dask PyTest Jupyter Hadoop Spark Kivy Tkinter automation scientific computing data visualization artificial intelligence neural networks machine learning deep learning big data data analysis computer science software engineering cybersecurity AWS Google Cloud Microsoft Azure RESTful APIs Python programming technological innovation operational efficiency computer vision natural language processing IoT cloud security DevOps predictive analytics Docker Kubernetes SQL NoSQL sentiment analysis A/B testing predictive modeling systems design prototyping SCRUM Agile project management business analysis Diego Rodrigues
Scaling Java enterprise applications beyond just programming techniques--this is the next level. This volume covers all the technologies Java developers need to build scalable, high-performance Web applications. The book also covers servlet-based session management, EJB application logic, database design and integration, and more.
This book presents a hybrid static-dynamic approach for efficient performance analysis of parallel applications on HPC systems. Performance analysis is essential to finding performance bottlenecks and understanding the performance behaviors of parallel applications on HPC systems. However, current performance analysis techniques usually incur significant overhead. Our book introduces a series of approaches for lightweight performance analysis. We combine static and dynamic analysis to reduce the overhead of performance analysis. Based on this hybrid static-dynamic approach, we then propose several innovative techniques for various performance analysis scenarios, including communication analysis, memory analysis, noise analysis, computation analysis, and scalability analysis. Through these specific performance analysis techniques, we convey to readers the idea of using static analysis to support dynamic analysis. To gain the most from the book, readers should have a basic grasp of parallel computing, computer architecture, and compilation techniques.
Practical Application of Supercritical Fluid Chromatography for Pharmaceutical Research and Development provides a valuable "go-to reference for many difficult-to-solve challenges using pertinent chromatographic theory, first-hand case studies, and examples provided from academic and industry experts. This text also enables professors teaching an analytical instrumental course to introduce and instruct students about one of the most sustainable and powerful separation methods currently available. While the text has broad applicability across industrial sectors, it focuses primarily on application in the pharmaceutical industry. The book is designed to allow readers to align current HPLC/UHPLC capabilities with SFC as an orthogonal tool for project specific methods in the pharmaceutical industry. It highlights where SFC falls on the spectrum of useful chromatographic tools for routine and challenging separative methods. Experienced HPLC users who are interested in developing knowledge in orthogonal separation techniques, as well as newcomers to the field of separation science, will find this text particularly useful. Chapters address where SFC may fit the analytical needs of the pharmaceutical industry and alert the readers as to where the technique will not fit. Readers will gain an understanding of how and where SFC may be applied and adapted more routinely across the pharmaceutical industry as a 'green' way of undertaking separation opportunities and challenges. Areas within the pharmaceutical industry include early drug discovery, process chemistry, and late stage development and manufacturing. - Describes approaches to SFC column and mobile phase selection for method development for both analytical and preparative tasks - Gives practical examples of how analytical SFC enables the monitoring of synthetic reactions including unstable intermediates, chiral and achiral polar reactants and products across small and large modalities - Provides need-focused case studies for pharmaceutical analysts, process chemists, and contract chemistry facilities that can benefit from monitoring or purifying polar intermediates, mutagenic impurities, nitrosamines and other reaction by-products including excipients and metabolites
