Abstrato

Enhancing Data Securing In Cloud Using Scalable Transactions

Mrudul S Rajhans

Cloud computing is becoming one of the most used paradigms to deploy highly available and scalable systems. These systems usually demand the management of huge amounts of data, which cannot be solved with traditional nor replicated database systems as we know them. Recent solutions store data in special key-value structures, in an approach that commonly lacks the consistency provided by transactional guarantees, as it is traded for high scalability and availability. In order to ensure consistent access to the information, the use of transactions is required. However, it is well-known that traditional replication protocols do not scale well for a cloud environment. Here we take a look at current proposals to deploy transactional systems in the cloud and we propose a new system aiming at being a step forward in achieving this goal. We proceed to focus on data partitioning and describe the key role it plays in achieving high scalability. No SQL Cloud data stores provide scalability and high availability properties for web applications, but at the same time they sacrifice data consistency. However, many applications cannot afford any data inconsistency. Cloud TPS is a scalable transaction manager which guarantees full ACID properties for multiitem transactions issued by Web applications, even in the presence of server failures and network partitions. We implement this approach on top of the two main families of scalable data layers: in our local cluster and Amazon Simple DB inthe Amazon cloud shows that our system scales linearly at least up to some nodes in the Amazon cloud. The given cloud implementation has done on open stack framework using Ubuntu operating environment.