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Google file system paper
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This paper proposes the Google File System (GFS). They introduced GFS to handle Google's massive data processing needs. GFS considers the following goals: higher performance, scalability, reliability and availability. However, it's not easy to reach these goals, there are many obstacles. Thus, in order to tackle challenges, they have considered using constant monitoring, error detection, fault tolerance, and automatic recover to tackle component failures that can affect the system's reliability and availability. The need to handle bigger files is becoming very important because data is keep growing radically. Therefore, they considered changing I/O operation and block sizes. They also consider using appending operations rather than overwriting to optimize the performance and assures atomicity. They also considered flexibility and simplicity when designing GFS. GFS supports the following operations: open, close, read, write, create, delete, snapshot(create a copy of a file), and record append(multiple users append data to the same file at the same time). They have made six assumptions when designing GFS. First, the system should be able to detect, sustain and recover from components failures. Second, larger files is the trend today and should be managed effectively. Third, read operations are performed many times so they should consider sorting the small reads to enhance performance. Fourth, the trend now is writing large files that are usually not modified but appended so they consider appending operation instead of updating or overwriting. Fifth, since multiple clients could read from the same file at the same time, there should be defined semantics for that. Sixth, they considered that high stable bandwidth is more importa... ... middle of paper ... ...the primary master is not working. OFS ensures data integrity by performing checksum to detect corrupted files. GFS also has diagnostic tools to debug and isolate problems and analyze performance. GFS design and implementation team has measured GFS by conducting three experiments. They are Micro-benchmarks, real world clusters, and workload breakdown. They have tried to approach all the bottlenecks. While designing and deploying GFS, the GFS team has faced operational and technical issues. Some of the issues were disk and Linux related problems. GFS provides location independent namespace, replications, and high fault tolerant. However, GFS doesn't provide caching. In conclusion GFS is good for day to day data processing rather than instant transaction such as online banking transactions. The GFS team has stated the GFS has met Google's storage needs.
DFS guarantees clients all functionality all the time when clients are connected to the system. By replicating files and spreading them into different nodes, DFS gives us a reliability of the whole file system. When one node has crash, it can service the client with another replica on different node. DFS has a reliable communication by using TCP/IP, a connection-oriented protocols. Once a failure occurred, it can immediately detect it and set up a new connection. For the single node storage, DFS uses RAID (Redundant Array of Inexpensive/Independent Disks) to prevent hard disk drive failure by using more hard disk, uses journal technique or strategy to prevent inconsistency state of the file system, and uses an UPS (Uninterruptible Power Supply) to allow the node to save all critical data.
Look around you, technology is surrounding you in everything that goes on in life. Some people do not enjoy this, but most of us do, and some businesses use this to their advantage. I am doing my research paper on how Groupon (which is a deal-of-the-day service) uses information technology to conduct everyday business. This company runs off of information technology, so I want to talk about every side of it. This includes how they manage their customer and merchant relationships, how they use the cloud to scale its business and what kind of security they use. This topic and subtopics relates very closely to this information technology course, since Groupon is an online deal company that uses information technology in its day-to-day functions. I have done some research on which subtopics I want to talk about in the paper. One subtopic I want to talk about is how they direct each customer to what they are attracted to. They have a very smart website designed just for this. One other subtopic I want to talk about is how they keep up with the computing and network infrastructure they need to manage their growing business.
Google File System (GFS) was developed at Google to meet the high data processing needs. Hadoop’s Distributed File System (HDFS) was originally developed by Yahoo.Inc but it is maintained as an open source by Apache Software Foundation. HDFS was built based on Google’s GFS and Map Reduce. As the internet data was rapidly increasing there was a need to store the large data coming so Google developed a distributed file system called GFS and HDFS was developed to meet the different client needs. These are built on commodity hardware so the systems often fail. To make the systems reliable the data is replicated among multiple nodes. By default minimum number of replicas is 3. Millions of files and large files are common with these types of file systems. Data is more often read than writing. Large streaming needs and small random needs are supported.
The cloud storage services are important as it provides a lot of benefits to the healthcare industry. The healthcare data is often doubling each and every year and consequently this means that the industry has to invest in hardware equipment tweak databases as well as servers that are required to store large amounts of data (Blobel, 19). It is imperative to understand that with a properly implemented a cloud storage system, and hospitals can be able to establish a network that can process tasks quickly with...
GWFS Equities, Inc., Member FINRA/SIPC, is a wholly owned subsidiary of Great-West Life & Annuity Insurance Company. Recordkeeping and administrative services are provided
Google has a great customer experience due to the fact that quality and customer experience are the primary objects. The products of Google are aimed at solving customer needs and issues by the customer service provided
This white paper identifies some of the considerations and techniques which can significantly improve the performance of the systems handling large amounts of data.
Google Inc. is a company that started in 2002 and has gradually grown to become an international technology company. Google’s business is mainly focused around vital areas, like advertising, search, operating platforms and systems and platforms, hardware products and enterprise. The company produces its revenue mainly by distributing online advertising. Google also produces revenues from Motorola through selling products. The company offers its services and products in over 100 languages and in over 50 regions, territories and countries. The company assimilates various features in its search service and gives dedicated search services to aid users modify their search. Google also gives product-listing advertisements, which comprise of product information, like price, merchant information and product image without needing ad text or extra keywords.
Hunter, S. (2014). As you consider moving data to the cloud… The Computer & Internet
Google will be successful in the future. In the meantime profits continue to soar and Google will continue to innovate, employing the high qualified experts in the field.
Group error checking: For ex. You can check for a Group of errors like IOException. This IOException, is a generalized exception. Using this we can catch all I/O related errors
In the past, most of the databases were centralized, protected, and kept in a one location using a complicated database system known as centralized database. Nowadays, with the new technology of personal computers and cell phones, a new sort of database has appeared, and it seems that majority of people are pleasant with it, even if their private data is split everywhere. Many enterprises had changed their databases from the centralized databases, into the distributed database system, since it meets the demand of accessing and processing the data in the organization. Distributed database technology is considered as one of the most remarkable developments in this century (Ozsu, 1991; Rahimi & Haug, 2010; Cain, 2012). Distributed databases are basically a collection of databases that are divided on multiple computers which are connected logically but located in different physical locations, and each site manages its own local data. In contrast, centralized database is a database that is located in a one location and it is considered as a big single database (Connolly & Begg, 2010).
Security Concerns: Data security is the primary concern of a financial institution like a bank. It needs to protect its customer information, their transactional data and their unstructured data in the form of emails and social media information. Hadoop system is highly transparent to the users which enables it to hide the complexity associated with its implementation. By default, the security model of Hadoop is disabled due to its sheer complexity. It also lacks encryption at storage and network levels. Because a financial institution cannot afford any sort of lapse in security, the bank has to make sure that an appropriate solution has to be found before going ahead with the implementation. A prospective solution maybe to enable the security on Hadoop but this
In the early 2000s, Amazon.com introduced the web-based retail services .The first major organization to update its data centers was Amazon It only used 10% of their capacity due to the fact that other companies were nervous about unexpected spike in the capacity needs. The new cloud computing infrastructure model permitted Amazon to exploit their existing capacity with much grea...
of multiple types of end users. The data is stored in one location so that they