Essay about The Google File System

Sergey Brin noted, “Some say Google is God. Others say Google is Satan. But if they think Google is too powerful, remember that with search engines, unlike other companies, all it takes is a single click to go to another search engine.” Nicholas Carr’s essay challenges this assertion. Nicholas Carr believes even though there are multiple search engines, “the faster we surf across the Web-the more links we click and pages we view-the more opportunities Google and other companies gain to collect information about us and to feed us advertisements.” This topic elicits such strong responses because technology is a part of our everyday lives. Technology is only becoming more advanced and will continue to be a source of debate for all who use it.

Storage of data plays a major role in improving the performance of a company and this can happen either offline or online and in various formats.

When a file is written in HDFS, it is divided into fixed size blocks. The client first contacts the NameNode, which get the list of DataNode where actual data can be stored. The data blocks are distributed across the Hadoop cluster. Figure \ref{fig.clusternode} shows the architecture of the Hadoop cluster node used for both computation and storage. The MapReduce engine (running inside a Java virtual machine) executes the user application. When the application reads or writes data, requests are passed through the Hadoop \textit{org.apache.hadoop.fs.FileSystem} class, which provides a standard interface for distributed file systems, including the default HDFS. An HDFS client is then responsible for retrieving data from the distributed file system by contacting a DataNode with the desired block. In the common case, the DataNode is running on the same node, so no external network traffic is necessary. The DataNode, also running inside a Java virtual machine, accesses the data stored on local disk using normal file I/O

When write operation are done on existing file, the data is appended to end of the file. This method serializes the data write in GFS.

GFS: Google File System is a distributed file system which is developed by Google in order to provide efficient, reliable access to data. . It is designed and implemented inorder to meet the requirements provided by Google’s data processing. The file system consists of hundreds of storage machines to provide inexpensive parts and it is accessed by different client machines. Here the search engine is providing huge amounts data that should be stored. GFS has 1,000 nodes with 300TB disk storage.

Blocks are the logical records which breaks the area used by a partition; clusters are physical bodies of a hard disk. Hard disk is usually broken in to cylinders and cylinders are broken down in to clusters. Most HDD arrive from the factory with a low level pattern where, block size = 512 bytes. The NTFS file system can produce cluster sizes of a multiple of 512 having a default of 8 blocks for every cluster. Size of a block is multiple of size of cluster, such that a logical block will fit a definite number of physical clusters “one file one cluster”. That is, in every cluster will be installed information belonging at most to a single file. As an aftermath, when scripting a file in a hard disk, some cluster remains incompletely filled or fully unused. As the operating system can only write an entire block, it pursues that the idle space should be fit with some strings of bytes that can be used by others. It should be remembered that these data are saved in a disk because of the operating system curbs to write only on an entire block, they could be detected by locating

They are created using multiple hard drives if the user deletes the data knowingly or unknowingly they can restore the data from the other backup drives.

HDFS is Hadoop’s distributed file system that provides high throughput access to data, high-availability and fault tolerance. Data are saved as large blocks making it suitable for applications

[8] J. R. Douceur, A. Adya, W. J. Bolosky, D. Simon, and M. Theimer.Reclaiming space from duplicate files in a serverless distributedfile system. In ICDCS, pages 617–624, 2002.

Dear mr.Hennessey the reason i was on such a vacuous google drive document was because of my childlike friend.Not to name names but brandon trejo.He said and i quote “hey david go to google drive” and me being me i had to be a dummy and open up the google drive folder.

1. Discuss competition in the search industry. Which of the five competitive forces seem strongest? weakest? What is your assessment of overall industry attractiveness?

Over the past several years the term cloud computing has become common in homes and organizations alike. Cloud computing can be defined as a pooled set of computing resources that are furnished via the internet. There are three types of cloud services typically available, these services are Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Software as a Service (SaaS). Organizations can benefit greatly from cloud services because they eliminate the need to buy and manage physical resources. Although such an action cuts cost it leaves organization victim to the vulnerabilities and threats that exist in cloud computing. Throughout this paper I will discuss the vulnerabilities and threats that come

This project is going to discuss about the Cloud Computing and its application in business. To briefly describe what cloud

Abstract - Hadoop Distributed File System, a Java based file system provides reliable and scalable storage for data. It is the key component to understand how a Hadoop cluster can be scaled over hundreds or thousands of nodes. The large amounts of data in Hadoop cluster is broken down to smaller blocks and distributed across small inexpensive servers using HDFS. Now, MapReduce functions are executed on these smaller blocks of data thus providing the scalability needed for big data processing. In this paper I will discuss in detail on Hadoop, the architecture of HDFS, how it functions and the advantages.

Professionally, Google is known as a company based in California that is labeled as an internet company which is multi-national. It provides online searching, as well as cloud computing, software, and advertising. The company actually didn 't start off as a company, but rather as a research project back in 1996. The project was being conducted by Sergey Brin and Larry Page who at the time were studying at Standford University as PhD students. At the time, in internet-land, the search engines that existed operated where they ranked the results by counting the number of times keywords results were on a page. The two students came with a better idea (called PageRank at the time), that looked at relationship between websites. It would rank websites by determining it 's relevance, which was based on the importance of pages, and the number of pages, and how it linked back to the main website. After the idea 's creation, the two founders made the project into a business, and changed the name to "Google", which is a neat miss-spelling of the word "googol" which had significance because it stands for the number one followed by one hundred zeros, and it related to their goal because they wanted to create a search engine that offered a large quantity of information.