Mastering Cloud Computing: Foundations and Applications Programming
Rajkumar Buyya
Language: English
Pages: 468
ISBN: 0124114547
Format: PDF / Kindle (mobi) / ePub
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.
- Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment
- Real-world case studies include scientific, business, and energy-efficiency considerations
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Encapsulate and, from a service consumer point of view, there is no need to know about their implementation. Lack of state. By providing a stateless interaction pattern (at least in principle), services increase the chance of being reused and aggregated, especially in a scenario in which a single service is used by multiple consumers that belong to different administrative and business domains. Discoverability. Services are defined by description documents that constitute supplemental metadata.
Available on Unix-based systems. Some of them, such as Solaris and OpenVZ, allow for different versions of the same operating system to operate concurrently. 3.3.1.3 Programming language-level virtualization Programming language-level virtualization is mostly used to achieve ease of deployment of applications, managed execution, and portability across different platforms and operating systems. It consists of a virtual machine executing the byte code of a program, which is the result of the.
Difference is getting smaller, and the high compute power available on average processors makes it even less important. Implementations of this model are also called high-level virtual machines, since high-level programming languages are compiled to a conceptual ISA, which is further interpreted or dynamically translated against the specific instruction of the hosting platform. 3.3.1.4 Application-level virtualization Application-level virtualization is a technique allowing applications to be.
Operating system codebase to be modified, and hence not all operating systems can be used as guests in a Xen-based environment. More precisely, this condition holds in a scenario where it is not possible to leverage hardware-assisted virtualization, which allows running the hypervisor in Ring -1 and the guest operating system in Ring 0. Therefore, Xen exhibits some limitations in the case of legacy hardware and legacy operating systems. In fact, these cannot be modified to be run in Ring 1 safely.
Are able to start their businesses without large up-front investments by completely relying on public infrastructure for their IT needs. What made attractive public clouds compared to the reshaping of the private premises and the purchase of hardware and software was the ability to grow or shrink according to the needs of the related business. By renting the infrastructure or subscribing to application services, customers were able to dynamically upsize or downsize their IT according to the.