Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 21 May,2016 Pages:1062-1074
Cloud computing is a type of computing that depend on distribution of computing resources rather than having local servers or private devices to handle applications. Cloud computing uses networks of great groups of servers classically running low-cost consumer PC technology with particular connections to spread data-processing tasks across them. Big data is a wide-ranging stretch for data sets so large or composite that traditional data handling requests are insufficient. Cloud based Large Scale Big Data incorporation is still in Examination. That too Cross Cloud is the most multifaceted integration. Cross Cloud is applied by allocating tasks to the numerous web service area. Different Tasks or same can be conquered by different Cloud based on its accessibility. Big Data is incorporated in the cloud. Cloud providers containing Amazon Web Services (AWS), Sales force.com, or Google App Engine provide users the decisions to organise their presentation over a system. Two Cloud Servers Drop Box and Google drive with one Big Data Database Storage that is Mongo Data Base is also organised. Also Multi Access Smart Card Application with Ration card, Passport and Hospital Applications for User Access are organized. User Individual Authentication comprises User Name, Password, Primary Key and Radio Frequency Identification (RFID) Card are all stored and proved in Mongo Data Base. Complete Data is splitted and stored in Two Servers parallely. User Request is controlled by the Mongo Data Base and balance part is controlled by Drop Box and Google Drive. The distributed storage system not only supports safe and vigorous data storage and retrieval, but also lets a user forward the data in the storage servers to another user without recovering the information back.
Service Composition, Qos. MapReduce, Cloud, Big Data
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