Case Study : A Cloud Aware Object Storage System

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.

An important characteristic of Hadoop is the partitioning of data and computation across many (thousands) of hosts, and the execution of application computations in parallel close to their data. A Hadoop cluster scales computation capacity, storage capacity and I/O bandwidth by simply adding commodity servers. Hadoop clusters at Yahoo! span 40,000 servers, and store 40 petabytes of application data, with the largest cluster

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Since shared data is in one location, it is easy to back up critical information. Though the server-based network demonstrates better performance and data handling, it is important to know that when the server goes down it takes the entire network with it. Unlike peer-to-peer networks server-based networks are more secure because security is handled for the network as a whole and not just for individual computers. Owing to these benefits, server-based systems are extensively used by large businesses and for various web

A range of storage devices can be added in order to store many terabytes of data without interrupting the flow of business operations. Storage is completely independent when it comes to the applications and is effortlessly assessable through different data paths. Enhanced application performance is attained when storage processing is relocated from the systems to a separate network. A well-configured SAN with mirroring and redundant servers can greatly reduce any downtime (Vacca, 2002). A SAN is not physically attached to any particular server or network and can be readily shared (Vacca, 2002). Fibre channel switching can make the setting up of private connections with other SANs very easy (Kotwal, 2015). The connections can even be utilized for backups, mirroring, or

Cloud because of its wide range of applications it allows users to store data their data remotely in the cloud and enjoy the on-demand high quality cloud applications and reveal burden from the local storage, cost and maintenance. In this according to the user’s perspective, including both individuals (private) and enterprises like companies appealing the cloud benefits by storing data remotely into the cloud in a flexible on-demand manner and relief of the burden of storage management along with this he/she can also enjoy the universal data access which dependent geographical locations and avoidance of the capital expenditure, software, hardware and personnel management and maintenances and so on.

Cloud solution provides shared resources on demand, which is highly configured and computed, with minimized management efforts required. With the emergent of cloud services, individual users and enterprises with various capabilities would able to manage their data either locally or remotely, with servers located somewhere else, or they pay to have cloud providers manage the data.

Cloud computing is an emerging model where users can gain access to their applications from anywhere through their connected devices. A simplified user interface makes the infrastructure supporting the applications transparent to users. The applications reside in massively-scalable data centers where compute resources can be dynamically provisioned and shared to achieve significant economies of scale. A strong service management platform results in near-zero incremental management costs when more IT resources are added to the cloud. The proliferation of smart mobile devices, high speed wireless connectivity, and rich browser-based Web 2.0 interfaces has made the network-based cloud computing model not only practical but

An “always on” society, with its big data, on-demand lifestyle, need for massive amounts of storage, and a multitude of devices made the cloud a reality. Consumers embrace the cloud and are connected through their smartphones, tablets, computers, and more. It offers them a place to store music, videos, pictures, and other personal information with the ability to access it from anywhere, at anytime. The massive video and music libraries that took up a whole wall in someone’s living room can now be easily stored in the cloud. There is also less worry about handling and losing the information because it is safely stored away from their homes. If a device is lost or destroyed, it is a simple process to load information to a new device.

On Confais et al\cite{Confais} the authors evaluate through performance analysis three “off-the-shelf” object store solutions, namely Rados, Cassandra and InterPlanetary File

such as storage and distribution, while maintaining customer service. The idea is by using the

Application-proven: We support more storage solutions and applications than any other vendor, including support for leading health care and financial services

The Hadoop disseminated record framework (HDFS) is a dispersed, adaptable, and compact document framework written in Java for the Hadoop system. Some consider HDFS to rather be an information store because of its absence of POSIX consistence and powerlessness to be mounted, however it provides shell orders and Java API strategies that are like other record frameworks. A Hadoop bunch has ostensibly a solitary namenode in addition to a group of datanodes, in spite of the fact that excess alternatives are accessible for the namenode because of its criticality. Each datanode serves up pieces of information over the system utilizing a square convention particular to HDFS. The record framework utilizes TCP/IP attachments for correspondence. Customers utilize remote methodology call (RPC) to convey between each other.

Distributed storage has assumed control in the greater part of the cases in the cutting edge world. Despite the fact that it is a savvy and adaptable option for information stockpiling for IT administrators, it doesn't give the required information stockpiling models which can oblige an assortment of uses. The IT people group needs something more adaptable which is past space and cost in distributed storage alternatives.

Currently determined from advances and mechanical advancements can have Input-Output gadgets ever better ready to store more data. The utilization of the plates of the hubs of a group as worldwide capacity framework is a cheap answer for a cloud the earth. The requirement for the accessible of data from anyplace is expanding; this speaks to an issue for some clients who use applications, for example, databases, media, individual