PROFILE BASED CONCORRENT DATA DOWNLOAD - CLOUD, DATA SHARING & LOAD BALANCING

In the EXISTING SYSTEM each processing node will partition a data set independently. There is no data sharing between the user either at load-time while pre-processing the data. In the PROPOSED SYSTEM, we are developing Two Techniques namely Data Download & Data Sharing. In Data Download Model, Priority based Retrieval is achieved based on the Query. The requested data is downloaded from different Servers as the Data are partitioned. In Data sharing, the data are divided into different chunks and stored as threads in the partition matrix. From the partition matrix the data will be retrieved for the read/write purpose without overlapping. The MODIFICATION part of the project is to implement Real Time Cloud (Drop Box) along with load balancing &Automatic and Continuous Data retrieval. Data sharing and download achieved as said in proposed system, except data is encrypted using AES. Data is partitioned in different sub cloud servers. ‘DO’ shares the ‘P1’ of Data to Cloud automatically. Data is shared to high priority user and remaining data is shared automatically from Main Cloud Server even before stored in SCS. We also detect best intermediate servers for data download.

  • Project Category : IEEE Projects
  • Project Year : 2014-2015
  • Department
  • B.E(Computer Science) , B.E(Electrical and Electronics Engg), B.E(Electronics and Communication), B.E(Information Technology),
  • Domain
  • Cloud Computing, Data Mining, Networking,
  • Technology
  • .Net,
  • Avilable city
  • Chennai,

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