Book Image

Architecting Data-Intensive Applications

By : Anuj Kumar
Book Image

Architecting Data-Intensive Applications

By: Anuj Kumar

Overview of this book

<p>Are you an architect or a developer who looks at your own applications gingerly while browsing through Facebook and applauding it silently for its data-intensive, yet ?uent and efficient, behaviour? This book is your gateway to build smart data-intensive systems by incorporating the core data-intensive architectural principles, patterns, and techniques directly into your application architecture.</p> <p>This book starts by taking you through the primary design challenges involved with architecting data-intensive applications. You will learn how to implement data curation and data dissemination, depending on the volume of your data. You will then implement your application architecture one step at a time. You will get to grips with implementing the correct message delivery protocols and creating a data layer that doesn’t fail when running high traffic. This book will show you how you can divide your application into layers, each of which adheres to the single responsibility principle. By the end of this book, you will learn to streamline your thoughts and make the right choice in terms of technologies and architectural principles based on the problem at hand.</p>
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Distributed processing


Distributed processing refers to the use of multiple, distributed processes (participants) to solve computational problems. That is, a problem is divided into multiple, smaller tasks, each of which is solved by one or more participants.

Besides the capability to execute a task, distributed processing requires the following capabilities:

  • Coordination: Concerns the proper execution of all necessary steps by the different participants in the distributed system to achieve a desired, common goal.
  • Splitting: Consists of dividing the initial task into a set of smaller tasks that can be performed by some (or all) of the participants.

 

 

  • Dispatching: Consists of allocating the smaller tasks to the participants that have the necessary capability and bandwidth to execute these tasks. Splitting and dispatching can be done at the source issuing the initial request. Alternatively, the whole task could be sent to the participants where the splitting could happen in a decentralized manner...