Cloud Computing and Service Models and Ideas
Over the past two decades, the world economy has rapidly moved from manufacturing to more service oriented. In 2010, 80 percent of the U.S Economy was driven by the service industry, leaving only 15 percent in manufacturing and 5 percent in agriculture and other areas. Cloud Computing benefits the service industry most and advances business computing with a new paradigm.
Although most clouds built in 2010 are large public clouds, the authors believe private clouds will grow much faster than public clouds in the future. Private clouds are easier to secure and more trustworthy within a company or organization. Once private clouds become mature and better secured, they could be open or converted to public clouds. Therefore, the boundary between public and private clouds could be blurred in the future. Most likely, most future clouds will be hybrid in nature.
e-Mail Application
For example, an e-Mail application can run in the service access modes and provide the user interface for outside users, the application can get the service from the internal cloud computing services (e.g., the e-Mail storage service). There are also some service nodes designed to support the proper functioning of cloud computing clusters. These modes are called runtime supporting service nodes.
Distributed Locking Services
For example, there might be distributed locking services for supporting specific applications. Finally. It is possible that there will be some independent service nodes. Those nodes would provide independent services for other nodes in the cluster. For example, a news service need geographical information under service-access nodes.
Executable Application Codes
With cost-effective performance as the key concept of clouds, we will consider the public cloud. Many executable application codes are much smaller than the web-scale data sets they process. Cloud computing avoids large data movement during execution. This will result in less traffic on the Internet and better network utilization. Clouds also alleviate the petascale I/O problem.
Quality of Service
Cloud performance and its Quality of Service (QoS) are yet to be proven in more real time applications. The Model Performance of cloud computing with data protection, security measures, service availability, fault tolerance and operating cost.
