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CLOUD RETAIL SERVICES

CLOUD RETAIL SERVICES. Team Members : Sonam Agarwal Bhargavi M Shankarananda Siddharth Kumar Chourasia Madhurima Malla Sai Pavan Vishnu Vajjala. Work done so far :. Completion of the payroll application. Implementation of the logic for database control according to the client plan.

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CLOUD RETAIL SERVICES

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  1. CLOUD RETAIL SERVICES Team Members : SonamAgarwal Bhargavi M Shankarananda Siddharth Kumar Chourasia MadhurimaMalla SaiPavan Vishnu Vajjala

  2. Work done so far : • Completion of the payroll application. • Implementation of the logic for database control according to the client plan. • Setting up of the cloud. • Level 1 security. Work in progress : • The uploading of image on the cloud. • The Reseller Interface Design. • Handling of security Issues (Level 2 security). • Database Management for the reseller model.

  3. Security Issues Data stored at a non trusted host. Dealing with sensitive information & Bandwidth saving. Need of protection from the reseller. Need of preventing unauthorized access.

  4. 2 level Security Authentication Valid user or not? (Level 1 Security) Access Key To Database Encrypt/lock the database (Level 2 Security) Database

  5. Level 1 security :- DATABASE USED BY THE RESELLER CLIENT SIDE Authenticate with the database key and then allow entry Username Password Generate System Key Reseller

  6. Level 2 security :- s/m key To access the database Unlock the Encrypted/ Locked database Username Password LEVEL 1 SECURITY User key

  7. Data Management at the Reseller Our goal in this section is to decide which data management techniques are best suited for deployment on top of the cloud computing infrastructure of our reseller model

  8. Solutions: 1. Optimize our queries (use indexing)2. Try to split all the tables logically(Partitioning) Chosen one: Partitioning(make Logical Divisions)

  9. Shared-Nothing Parallel Databases 1) Improvement in query performance. - Faster queries. - Faster maintenance on smaller tables. 2) Elastic compute power. 3) Better concurrency management. 4) “Database Partitioning Feature”

  10. THANK YOU

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