Cloud computing is the future of computing industry and it is believed to be the next generation of computing technology. Among the major concern in cloud computing are data integrity and privacy. Clients require their data to be safe and private from any tampering or unauthorized access. Various algorithms and protocols (MD5, AES, and RSA-based PHE) are implemented by the various components of this model to provide the maximum levels of integrity management and privacy preservation for data stored in public cloud such as Amazon S3. The impact of algorithms and protocols used to ensure data integrity and privacy is studied to test the performance of the proposed model. Nowadays more and more services and applications are emerging on the Internet, exposing sensitive electronic data on the internet has become easier. Web services cause’s personal data to be cached, copied, and archived by third parties, often without our knowledge or control. To provide confidentiality and privacy is very important today to enterprises and other users to use cloud services. Cloud is becoming a dominant computing platform. Researchers have demonstrated that the essential issue of DDoS attack and defense is resource competition between defenders and attackers and maintain data venerability in the cloud. The major problem in clouds are load balancing and sharing the data with the particular user. In our project will propose a job scheduling and attribute base data sharing.