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"Computation and storage in the cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users. Describes several novel strategies for storing application datasets in the cloud. Includes real-world case studies of scientific research applications."

"Cloud networking : understanding cloud-based data center networks explains the evolution of established networking technologies into distributed, cloud-based networks. Starting with an overview of cloud technologies, the book explains how cloud data center networks leverage distributed systems for network virtualization, storage networking, and software-defined networking. The author offers insider perspective to key components that make a cloud network possible such as switch fabric technology and data center networking standards. The final chapters look ahead to developments in architectures, fabric technology, interconnections, and more. By the end of the book, readers will understand core networking technologies and how they’re used in a cloud data center."

"Cloud computing : theory and practice provides students and IT professionals with an in-depth analysis of the cloud from the ground up. Beginning with a discussion of parallel computing and architectures and distributed systems, the book turns to contemporary cloud infrastructures, how they are being deployed at leading companies such as Amazon, Google and Apple, and how they can be applied in fields such as healthcare, banking and science. The volume also examines how to successfully deploy a cloud application across the enterprise using virtualization, resource management and the right amount of networking support, including content delivery networks and storage area networks. Developers will find a complete introduction to application development provided on a variety of platforms."

"Mastering cloud computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won?t live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems.The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout."

"This book constitutes the thoroughly refereed post-conference proceedings of the First International Conference on Virtual and Networked Organizations, Emergent Technologies, and Tools, ViNOrg 2011, held in Ofir, Portugal, in July 2011. The 35 revised full papers presentedwere carefully reviewed and selected from over 60 initial submissions. The papers cover a wide range of topics, such as ubiquitous computing and organizations, cloud computing and architectures, grid computing, human-computer interfaces, serious games, data mining, Web services, cognitive systems, social networks and other emergent IT/IS approaches in various function domains, such as decision support systems, planning, design, control, negotiation, marketing, management and many other, in the context of virtual and networked enterprises and organizations."

"Beginning Windows phone app development, written specifically to help you learn the skills you’ll need to develop rich, functional apps for the Windows Phone 7 platform. Authors Henry Lee and Eugene Chuvyrov cover the very latest developments in the field, including the extended APIs offered in the new Mango platform update, so you'll have timely, accurate information at your fingertips. Beginning Windows phone app development starts with the basics, walking you through the process of downloading and setting up the right development tools, including visual studio, expression blend, silverlight SDK, and Windows Phone SDK. It then takes you step-by-step though the development process as you build and deploy a working application, complete with a sophisticated user interface. "

"As an Office 365 developer, build custom SharePoint apps in Visual Studio using HTML5, CSS, and jQuery. Create declarative workflow applications with Visio and SharePoint Designer. Use Access Web Database to publish your data on the web, or write Exchange and Lync applications. All these possibilities and more are covered. You also have unprecedented control and flexibility over how you use these technologies in your applications. With a powerful set of Office 365 APIs, you can now access and integrate Office 365 data directly into your web or native applications, with full control of authentication, authorization and discovery."

"Summary:Helps students prepare with a thorough introduction to Java and the keys to creating effective mobile applications. This book offers a hands-on tutorial approach with clear, step-by-step instruction and numerous screen shots to guide readers through tasks efficiently"

"Cloud Computing menyediakan akses mudah ke berbagai sumber daya melalui jaringan internet, dengan jangkauan jaringan yang luas, kemampuan elastisitas yang cepat, dan layanan yang dapat diukur. Dalam penelitian ini, digunakan Cloud Management Platform Apache CloudStack untuk membangun sistem Cloud sendiri. Sistem ini menggunakan sistem operasi Ubuntu dan hypervisor KVM (Kernel-based Virtual Machine) untuk menguji performa dan optimalisasi konfigurasi hypervisor dalam menjalankan tugas-tugas komputasi tertentu. Penelitian ini bertujuan untuk menganalisis apakah konfigurasi default dari hypervisor KVM sudah optimal dan bagaimana konfigurasi hypervisor KVM dapat meningkatkan performa dalam menjalankan tugas komputasi seperti kompresi video, enkripsi, dekripsi, dan validasi integritas data. Metode yang digunakan melibatkan pengujian performa hypervisor KVM dengan melakukan berbagai tugas komputasi dan mengukur waktu yang diperlukan untuk menyelesaikan tugas-tugas tersebut. Hasil pengujian menunjukkan bahwa konfigurasi hypervisor dengan menambahkan flag tertentu seperti SSSE3, SSE4.1, SSE4.2, SSE4a, dan AES dapat meningkatkan performa komputasi secara signifikan. Kesimpulan dari penelitian ini adalah bahwa konfigurasi default hypervisor KVM bersifat minimal dan perlu dilakukan konfigurasi untuk mencapai performa optimal. Konfigurasi hypervisor yang tepat dapat mempercepat kompresi video hingga 2.4 kali, validasi integritas data hingga 7.56 kali, enkripsi AES hingga 2.1 kali, dan dekripsi AES hingga 2.68 kali dibandingkan dengan konfigurasi default. Penelitian ini diharapkan memberikan kontribusi akademis dalam bidang optimalisasi infrastruktur cloud.

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Cloud Computing provides easy access to various resources over the internet, with a wide network reach, fast elasticity capabilities, and measurable services. In this research, the Apache CloudStack Cloud Management Platform is utilized to build a Cloud system. This system uses the Ubuntu operating system and KVM (Kernel-based Virtual Machine) hypervisor to test performance and optimize the hypervisor configuration for specific computing tasks. The aim of this research is to analyze whether the default configuration of the KVM hypervisor is optimal and how configuration the KVM hypervisor can enhance performance in executing computing tasks such as video compression, encryption, decryption, and data integrity validation. The methodology involves performance testing of the KVM hypervisor by executing various computing tasks and measuring the time taken to complete these tasks. The test results indicate that configuring the hypervisor by adding specific flags such as SSSE3, SSE4.1, SSE4.2, SSE4a, and AES can significantly improve computational performance. The conclusion drawn from this research is that the default configuration of the KVM hypervisor is minimal and requires configuration to achieve optimal performance. Proper hypervisor configuration can accelerate video compression by up to 2.4 times, data integrity validation by up to 7.56 times, AES encryption by up to 2.1 times, and AES decryption by up to 2.68 times compared to the default configuration. This research is expected to make an academic contribution in the field of cloud infrastructure optimization."