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 promises that its system can be extended by adding more nodes to accommodate data’s growing. Also it can remove those not frequently used data from overloaded nodes to those light nodes to reduce network traffic. Scalability is the capability of a system, network, or process to handle a growing amount of work, or its potential to be enlarged in order to accommodate that growth.
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.
In essence, the new organizational structure demands the presence of an appropriate network design that will accommodate increased number of individuals within the proposed workspace as well as enhanced improvements in security protocols for the system. cloud technologies with overseas or outside management provide effective and efficient options for reducing the downtimes from network failure and other crisis such as damaged equipment and infrastructure. A hosted hybrid solution provides one of the safest systems of organizational needs than other forms of systems. This is because it provides highly advanced solutions as well as providing simple approaches to common problems and issues in modern organizations. The pro...
INTRODUCTION: With cloud computing, Amazon has enabled the usage of internet and central remote servers to maintain data and applications and created an environment where connectivity and availability is unobtrusive and prevalent. Amazon offers two options for hosting applications and databases. Amazon EC2 with Elastic Block Storage allows one to run a MySQL database server on Elastic Compute Cloud, an Infrastructure-as-a-Service provider, with Elastic Block Storage (EBS). Meanwhile, another option called Amazon’s Relational Database Services (RDS) is a scalable relational database in the cloud with high availability.
allows for a less error free environment. It also allows the Unit to see exactly where the
The system should be able to incorporate more data storage space with minimum down time.
Perhaps the two most crucial elements of the success of such systems are that they allow an incredible number of files to be gathered through the amalgamation of the files on many computers, and that increasing the value of the databases by adding more files is a natural by-product of using the tools for one's own benefit[7].
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...
Hadoop is a free, java based programming framework that usually supports processing of large data sets that are in diverse computing environment. Hadoop is a cluster computation framework. Apache Hadoop is a programming framework that provides support to data intensive distributed applications with a free license. The program was inspired by Google file and Google’s MapReduce system (Eadline, 2013). According to Eadline (2013), the Hadoop technology was designed to solve various problems such as to provide a fast and reliable analysis for both complex and clustered data. Consequently, different organizational enterprises deployed Hadoop with the existing IT systems, thereby, allowing them to combine old and new data in a strong framework. The major industrial players who used Hadoop technology include IBM, Yahoo, and Google (Lavalle, Lesser, Shockley, Hopkins & Kruschwitz, 2011).
To reduce the number of probed hosts and consequently reduce the overall search load, it has been proposed to replicate data on several hosts [67]. The location and the number of replica vary in different replication strategies. Thampi et al mention in [41] that there are three main site selection policies. Owner replication in which the object is replicated on the requesting node and the number of replica increases proportional to popularity of the file. Random replication in which replications are distributed randomly and the path replication in which the requested file is copied on all nodes on the path between the requesting node and source.
This white paper identifies some of the considerations and techniques which can significantly improve the performance of the systems handling large amounts of data.
Personal cloud storage (PCS) is an a web service of online that provides server space for individuals to store others files, data, video and photos. It is a content of digital sources and services which are accessible from any device. The personal cloud is not a tangible entity. It is a place which gives users the ability to store, synchronize, stream and share content on a relative core, moving from one platform, screen and location to another. Created on connected services and applications, it reflects and sets consumer expectation for how next-generation computing services will work. There are four primary types of personal cloud that has been used today like Online cloud, NAS device cloud, server device cloud, and home-made clouds. [1]
It simplifies the storage and processing of large amounts of data, eases the deployment and operation of large-scale global products and services, and automates much of the administration of large-scale clusters of computers.
As we all know that Exascale computers runs million processors which generates data at a rate of terabytes per second. It is impossible to store data generated at such a rate. Methods like dynamic reduction of data by summarization, subset selection, and more sophisticated dynamic pattern identification methods will be necessary to reduce the volume of data. And also the reduced volume needs to be stored at the same rate which it is generated in order to proceed without interruption. This requirement will present new challenges for the movement of data from one super computer to the local and remote storage systems. Data distribution have to be integrated into the data generation phase. This issue of large scale data movement will become more acute as very large datasets and subsets are shared by large scientific communities, this situation requires a large amount of data to be replicated or moved from production to the analysis machines which are sometimes in wide area. While network technology is greatly improved with the introduction of optical connectivity the transmission of large volumes of data will encounter transient failure and automatic recovery tools will be necessary. Another fundamental requirement is the automatic allocation, use and release of storage space. Replicated data cannot be left
of multiple types of end users. The data is stored in one location so that they