Data storage

BACKUP AND DATA STORAGE Venkatesh Jangili Project Report Submitted in Partial Fulfillment of the Requirements for the Degree of Masters of Science Fall 2014 Under the guidance of Dr. Mais Nijim Texas A&M University-Kingsville, EECS Dept. MSC 192, Kingsville, Texas, U.S.A 78363 ABSTRACT Currently determined from advances and mechanical advancements can have Input-Output gadgets ever better ready to store more data. The utilization

Data entry Data entry or input is the process by which raw data is captured and recorded. Input can be an automated or manual process. Regardless of what type of input is selected, accuracy is critical to the desired output. (Stair & Reynolds, 2006). The type of data to be entered determines the data input method. For example, printed questionnaires are best suited for manual data entry. Questionnaires tend to be unstructured and may require interpretation by the survey issuer. An example of data

BACKUP AND DATA STORAGE Venkatesh Jangili Project Report Submitted in Partial Fulfillment of the Requirements for the Degree of Masters of Science Fall 2014 Under the guidance of Dr. Mais Nijim Texas A&M University-Kingsville, EECS Dept. MSC 192, Kingsville, Texas, U.S.A 78363 ABSTRACT Currently determined from advances and mechanical advancements can have Input-Output gadgets ever better ready to store more data. The utilization

Abstract Emergence of information technology by mid 20th century has greatly impacted the society. Information sharing has grown with voluminous data being accessed through cloud computing and efficient user interface. This has not only improved interaction between computer & user but also users among users themselves. Meta data analysis and storage of information have become a vital component in business intelligence with most firms, organizations reporting increased mobile application installation

Abstract— Encryption is widely used to ensure security in data storage and communication systems. This paper introduces a new concept for image encryption using a new method we named it "Meaning Of Location (MOL)". In this method, the private key is an image that converted into RGB numbers and the public key is random integers used to permutate the image. The location of the RGB will be used to encrypt the plaintext. The performance of this algorithm is investigated against many different attacks

information and applications which are comprised of pools of network, compute, information and storage assets. The cloud is a centralized shared data storage network that enables an individual or business to be able to store personal data such as: personal files, images and videos etc.(Camp, 2009). It offers the convenience to be able to store personal data in one centralized location and allows easy access to the data even from a remote location by use of user assigned passwords and user login details. This

To study a system which will help to secure data stored on the cloud storage system. This system may be helpful to for users who wants secure thier data as well as for companies who wants to give access permission to limited data to their employees and secure their data in cloud storage system. Document Conventions All requirements specified are arranged as per priorities. Intended Audience and Reading Suggestions This document can be used by various stakeholders like developers, project managers

Data Storage Model NoSQL Databases Document Databases MongoDB, IBM Cloudant, RethinkDB, Elasticsearch , CouchDB, ArangoDB, OrientDB, Couchbase Server, SequoiaDB, Clusterpoint Server, JSON ODM, NeDB, Terrastore, RavenDB, AmisaDB, JasDB, RaptorDB, Djondb, densodb, SisoDB, SDB, NoSQL embedded db, ThruDB, iBoxDB, BergDB, MarkLogic Server, EJDB (Mohamed et al., 2014; Okman et al., 2011). Figure 3. Document Store Type (Saladage, 2014). 3.4 Graph Databases – There are few NoSQL Databases

cost2} depends on distribution of the data as well. Let $T_{cap}$ be the total capacity of disk in a node and $T_{used}$ be the total used space. Therefore the ideal storage on each volume/disk should be $I_{storage} = T_{cap} / T_{used}$. The volume of data density is difference between ideal storage and current DFS used ratio, in other words volume data density for one node is $DD_{volume} = I_{storage} - dfsUsedRatio$, where $DD_{volume}$ is volume of data density. A positive value of $DD_{volume}$

with the rapid developments, there has been a growing trend to use the cloud for large-scale data storage. This has raised the important security issue of how to control and prevent unauthorized access to data stored in the cloud. Access control is one of the most important security mechanisms in cloud computing. By using the Role Based Access Control and Attribute Based Access Control, security to the data stored in cloud is enhanced through the fine grained access control policies. Attribute Based