Summary from the Papers: Cloud computing is the latest evolution of Internet-Based Computing. Public internet spawned private corporate intranets, cloud computing is now spawning private cloud platforms. The database is the critical part of that platform. Therefore it is imperative that our cloud database be compatible with cloud computing.
Key Design principles of the cloud model: The core design principle is dynamic scalability, or the ability to provision and decommission servers on demand. The shared-disk database architecture is ideally suited to cloud computing. It requires fewer and lower cost servers, it provides high availability, reduces maintenance costs by eliminating partitioning and it delivers dynamic scalability.
Benefits of Cloud Computing: a. Lower Costs: All resources are shared resulting in reduced costs. b. Shifting CapEx to OpEx: This enables customer to focus on adding value in their areas of competence. It allows customer to focus their money and resources on innovating. c. Agility d. Dynamic Scalability: It can smoothly and efficiently scale to the spikes with a more cost-effective pay-as-you-go model. e. Simplified maintenance: All Patches and upgrades are deployed across the shared infrastructure. f. Large scale prototyping/load testing g. Diverse platform support h. Faster Management approval i. Faster development With corporate adoption of cloud computing there are explosion of cloud options. One of those options is the provisioning of database services in the form of cloud databases or Database-as-a-Service (DaaS). The Cloud databases serviced consumer applications which put a priority on read access, because the ratio of reads to writes was very high. However, this is changing. Now-a-days consumer-centric cloud database