Google File Systems (GFS) is developed by Google to meet the rapidly growing demand of Google’s data processing needs. On the other hand, Hadoop Distributed File Systems (HDFS) developed by Yahoo and updated by Apache is an open source framework for the usage of different clients with different needs. Though Google File Systems (GFS) and Hadoop Distributed File Systems (GFS) are the distributed file systems developed by different vendors, they have been designed to meet the following goals:
They should be able to run on inexpensive commodity hardware without any failures.
The systems should be able to manage huge files efficiently.
The system should be scalable, have high throughput and should be reliable.
The system should be able to support large streaming reads and also support for concurrent large appends to the same file.
The common and distinguishing features of Google File Systems (GFS) and Hadoop Distributed File Systems (GFS) are as follows:
The GFS file content is divided into 64MB chunks, with each chunk having 64KB blocks. A chunk is identified by its handle called the chunk handle and each chunk is replicated thrice by default. Each block in a chunk consists of a 32-bit checksum. The HDFS file content is divided into 128MB blocks. A node called the namenode holds the blocks replica as two files, one for data and another for checksum and stamp generation.
In GFS client accepts the request for a read operation and sends the request to the master, the master then generates a chunk handle and replica location and sends it back to the client. The client makes use of this information to get the required data from the replicas. The replicas are divided into primary and secondary while performing a write oper...
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GFS and HDFS have a special functionality called snapshot by which it can make a copy of a quickly at any time. This is similar to copy-on-write functionality of Andrew File Systems (AFS).
GFS aims at reducing real-time to big batch operations and HDFS aims at development of real secondary namenode – Facebook’s Avatar node.
REFERENCES
1. Konstantin Shvachko, Hairong Kuang, Sanjay Radia, Robert Chansler, “The Hadoop Distributed File System”, http://storageconference.org/2010/Papers/MSST/Shvachko.pdf
2. Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung, “The Google File System”, http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/archive/gfs-sosp2003.pdf
3. Dhruba Borthakur, ”The Hadoop Distributed File System: Architecture and Design”, http://hadoop.apache.org/docs/r0.18.0/hdfs_design.pdf
The idea of accessing, storing, and processing data from online server or virtual server instead of local server is called as Cloud computing. When we store data in our hard disk which is very near to computer that is called as local storage and computing but Cloud computing doesn’t access data from our hard disk.
File servers are an important part of any business. The file server is the central location of files for a business small or big. The file server can be a cloud accessible server which grants accesses anywhere. The file server can also be a dedicated server which is only used on the business network. I am going to touch on the specifications of a file server. This means I am going to go over CPU, memory, bus, DMA, storage, interrupts, input/output peripherals, and monitors of a files server.
In the past number of years data has grown exponentially. This growth in data has created problems that and a race to better monitor, monetize, and organize it. Oracle is in the forefront of helping companies from different industries better handle this growing concern with data. Oracle provides analytical platforms and an architectural platform to provide solutions to companies. Furthermore, Oracle has provided software such as Oracle Business Intelligence Suite and Oracle Exalytics that have been instrumental in organizing and analyzing the phenomenon known as Big Data.
The first is called store to forward, which is used transferring digital images from one location to another (Wager, Lee, & Glaser, 2013, p. 157).
Big Data is a term used to refer to extremely large and complex data sets that have grown beyond the ability to manage and analyse them with traditional data processing tools. However, Big Data contains a lot of valuable information which if extracted successfully, it will help a lot for business, scientific research, to predict the upcoming epidemic and even determining traffic conditions in real time. Therefore, these data must be collected, organized, storage, search, sharing in a different way than usual. In this article, invite you and learn about Big Data, methods people use to exploit it and how it helps our life.
It has the ability to store many items at the same time. Random accessing of elements is allowed, so any element of an array can be accessed randomly using indexes. It stores the data in linear form. (Sheeba, 2016) The memory arrangements are efficient.
For archiving larger files, high-capacity cartridge drives, such as the Jaz and Jaz2, offer 1GFB and 2GB ...
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...
The key to Amazon’s strategy is the IT infrastructure’s ability to deal with more than a million requests at a consistent, error-free rate (Demir, 2017, p.12). Not to mention, Amazon’s Web Services makes up for about 10 percent of their total revenue. The first big play for Amazon’s Web Services was the launch of DynamoDB which sent customer data to multiple databases creating a strong collaboration system. By testing this system for long periods of time, Amazon analyzed the faults within it. However, with this jewel, engineers expanded new features and algorithms within the system. In order to get the design up to expectations, engineers improved the mastery of independent codes. Throughout the complexity of Amazon’s expansions, AWS has played a pivotal role in the Systems Developmental Life Cycle. “As an example of this growth, in 2006, AWS launched S3, its Simple Storage Service…Less than a year later it had grown to two trillion objects and was regularly handling 1.1 million requests per second” (Newcombe, 2015, p. 66). Developing such systems has given Amazon the ability to establish unforeseeable innovation which continues to astonish the entire world. As everything has become newer and improved through technology, Amazon implements this into each and every
Google uses data encryption as a method of ensuring that data stored in its cloud is secured and confidential (Bradley, 2010). GovCloud is a special cloud established by Google for storing government related information and data (Bradley, 2010). Due to the sensitivity of the information stored in GovCloud, Google encrypts the data in such a way that the data is not availab...
Several types of cloud storage systems have been developed to supporting both personal and business uses. Cloud storage also a model of networked enterprise storage where the data is stored not only in the user's computer, but also in virtualized of storage, which generally hosted by third parties company.
Paging is one of the memory-management schemes by which a computer can store and retrieve data from secondary storage for use in main memory. Paging is used for faster access to data. The paging memory-management scheme works by having the operating system retrieve data from the secondary storage in same-size blocks called pages. Paging writes data to secondary storage from main memory and also reads data from secondary storage to bring into main memory. The main advantage of paging over memory segmentation is that is allows the physical address space of a process to be noncontiguous. Before paging was implemented, systems had to fit whole programs into storage, contiguously, which would cause various storage problems and fragmentation inside the operating system (Belzer, Holzman, & Kent, 1981). Paging is a very important part of virtual memory impl...
Mitrano, T. (2006, April). CIT: Thoughts on Facebook. CIT: Computing at Cornell. Retrieved June 6, 2011, from http://www.cit.cornell.edu/policies/socialnetworking/facebook.cfm
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Nowadays, we are living in the “ technology world”, digital’s century, science and technology are being devolopped like a rain-storm, people try their best effect to serve for human’s infiniti demand. Internet in general and social network in particular are exceedingly funtional tools. Indeed, with over 1.3 billion active users in June,2014 ( Wikipedia), there is no suprise that Facebook has been becoming a leading social network in the world, “Facebook was not originally created to be a company. It was built to accomplish a social mission - to make the world more open and connected” – CEO of Facebook: Mark Zuckerberg (google). Facebook truthly brought many useful; however, it is still “ a double-edged sword”.