Cloud Application Architectures

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Book Description
If you're involved in planning IT infrastructure as a network or system architect, system administrator, or developer, this book will help you adapt your skills to work with these highly scalable, highly redundant infrastructure services. Cloud Application Architectures will help you determine whether and how to put your applications into these virtualized services, with critical guidance on issues of cost, availability, performance, scaling, privacy, and security.
Book Details
Publisher:        O'Reilly Media
By:        George Reese
ISBN:        978-0-596-15636-7
Year:        2009
Pages:        208
Language:        English
File size:        3.22 MB
File format:        PDF
eBook
Download:        Cloud Application Architectures

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关键词：Architecture Application Architect cation cloud determine developer planning critical guidance

1. Transactional Computing
   
2. Transactional computing makes up the bulk of business software and is the focus of this book. A transaction system is one in which one or more pieces of incoming data are processed together as a single transaction and establish relationships with other data already in the system. The core of a transactional system is generally a relational database that manages the relations among all of the data that make up the system.

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1. Grid Computing
   
2. Grid computing is the easiest application architecture to migrate into the cloud. A grid computing application is processor-intensive software that breaks up its processing into small chunks that can then be processed in isolation.
   
3. If you have used SETI@home, you have participated in grid computing. SETI (the Search for Extra-Terrestrial Intelligence) has radio telescopes that are constantly listening to activity in space. They collect volumes of data that subsequently need to be processed to search for a nonnatural signal that might represent attempts at communication by another civilization. It would take so long for one computer to process all of that data that we might as well wait until we can travel to the stars. But many computers using only their spare CPU cycles can tackle the problem extraordinarily quickly.
   
4. These computers running SETI@home—perhaps including your desktop—form the grid. When they have extra cycles, they query the SETI servers for data sets. They process the data sets and submit the results back to SETI. Your results are double-checked against processing by other participants, and interesting results are further checked.[3]
   
5. Back in 1999, SETI elected to use the spare cycles of regular consumers’ desktop computers for its data processing. Commercial and government systems used to network a number of supercomputers together to perform the same calculations. More recently, server farms were created for grid computing tasks such as video rendering. Both supercomputers and server farms are very expensive, capital-intensive approaches to the problem of grid computing.
   
6. The cloud makes it cheap and easy to build a grid computing application. When you have data that needs to be processed, you simply bring up a server to process that data. Afterward, that server can either shut down or pull another data set to process.
   
7. Figure 1-1 illustrates the process flow of a grid computing application. First, a server or server cluster receives data that requires processing. It then submits that job to a message queue (1). Other servers—often called workers (or, in the case of SETI@home, other desktops)—watch the message queue (2) and wait for new data sets to appear. When a data set appears, the first computer to see it processes it and then sends the results back into the message queue (3). The two components can operate independently of each other, and one can even be running when no computer is running the other.

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