Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Hadoop, an Apache top-level project is built and used by a global community of contributors and users. Rather than relying on hardware to deliver high-availability, the library is designed to detect and handle failures at the application layer itself. It delivers a highly-available service on top of a cluster of computers, each of which may be prone to failures.
A small Hadoop cluster has a single master and multiple worker nodes. The master node consists of a JobTracker, TaskTracker, NameNode and DataNode. A slave or worker node acts as both a DataNode and TaskTracker, though it is possible to have data-only worker nodes and compute-only worker nodes. These are normally used only in nonstandard applications. Hadoop requires Java Runtime Environment (JRE) 1.6 or higher. The standard start-up and shutdown scripts require ssh to be set up between nodes in the cluster.
The Apache Hadoop framework is composed of the modules Hadoop Common which contains libraries and utilities for other Hadoop modules, Hadoop MapReduce is a programming model for large scale data processing, Hadoop Distributed File System (HDFS) is a distributed file-system which stores data that provides very high aggregate bandwidth across the cluster and Hadoop YARN, a resource-management platform that manages computer resources in clusters and uses them for scheduling of user applications.
The Hadoop distributed file system is a distributed, scalable, and portable file-system written in Java for the Hadoop framework. Each node in a Hadoop instance has a single namenode; a cluster of datanodes form the HDFS cluster as shown in Figu...
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[12]
More information on the Apache
Pig
can be found at http://hortonworks.com/hadoop/pig/ on the Web.
[13] More information on the XML and Security: introduction to XACML-
Access
Control
Policies
in
XML
can be found https://community.emc.com/docs/DOC-7314 at and http://dimacs.rutgers.edu/Workshops/Commerce/slides/crampton.pdf on the
Web.
[14]More information on the XACML
Policy
language can be found at http://wso2.com/library/articles/2011/10/understanding-xacml-policy-language-xacml- extended-assertion-markup-langue-part-1/ on the Web.
[15] More information on the Authorization and Authentication In Hadoop can be found at http://blog.cloudera.com/blog/2012/03/authorization-and-authentication-in-hadoop/ on the Web.
[16]
More information on the A
HDFS
Architecture can be found http://hadoop.apache.org/docs/r1.2.1/hdfs_design.html#NameNode+and+DataNodes on the Web.
Application Virtualization: Application virtualization conveys an application that is facilitated on a solitary machine to a substantial number of clients. The application can be arranged in the cloud on high-review virtual machines be that as it may, in light of the fact that a substantial number of clients get to it, its expenses are some common by those clients.
A distributed system is a collection of independent computers (nodes) that appears to its users as a single coherent
The transition from Web 1.0 to Web 2.0 ushered in major paradigms shifts in the software industry. Software evolved from being a licensed product to being a subscribed web service. Development efforts slid from the tight control of specialists, for example systems analysts and programmers, towards a collaborative project between end users and technology experts. Learners are now required to teach themselves and teachers are there to facilitate the learning process. The dissemination of knowledge and wisdom would gravitate away from the puritanical filters of rigorous scholastic scrutiny towards a mashed-up crowd sourced assembly such as Wikipedia. Personal websites would now encompass a social networki...
Gomoloski, Barb. Going global: Some lessons from eToys and Yahoo that might help You. InfoWorld. February 2001.
lives. It has not only endorsed society with the ability to communicate with others via email,
Technology is a resourceful tool that all of the world has grown to see. We are now getting accustomed to the internet.
-They are both available to customers and widely used in daily scenarios with regular people.
The concept of a “global village” or a united community around the world has only in these last few years become a concept widely thought of. However, it seems that the idea of a large-scale sharing of information has long been developing, whether intended or not.
Amdocs Data Hub is a scalable, Hadoop-based data management platform which enables service providers to seamlessly extract, integrate and visualize their diverse and rapidly growing data sources. This leads to data-driven decision making and analytics (Amdocs Data Hub).
...mpany up and running through any kind of interruptions such as power failures, IT system crashes, natural or man-made disasters, supply chain/vendor problems and more.
Fault tolerant techniques are based on time redundancy or space redundancy or combination of both. As mentioned previously, a sensor has a limited computation power, so time redundancy techniques are not supposed to be of beneficial. Traditional techniques in backing up sensors are based on double and triple redundancy, which doesn’t satisfy the requirement of having a reliable network with a minimum number of sensors.
The Internet is a global network connecting millions of personal, institutional and company computers. The number of computers used by the internet is growing rapidly. The United States is connected with over 100 countries worldwide and linked together to exchange of data, news and opinions. The Internet is decentralized design. This means that there isn't just one computer that stores all of the information from the Internet. There are many independent host servers located throughout the US and the world that store the information made available to the global Internet community.
...tecture for scalability and availability as the public cloud but is restricted to a single organization.