The Oracle Cloud Platform a PaaS service provides a shared and elastically

The oracle cloud platform a paas service provides a

This preview shows page 21 - 24 out of 96 pages.

The Oracle Cloud Platform, a PaaS service, provides a shared and elastically scalable platform for consolidation of existing applications and new application development and de- ployment. It supports standards-based shared services and elastic scalability on demand and includes database functionality based on Oracle Database and Oracle Exadata Database Ma- chine. It features middleware technology based on Oracle Fusion Middleware and Oracle Exalogic Elastic Cloud. Problem 3.Read the IBM report [41] and discuss the workload preferences for private andpublic clouds and the reasons for the preferences. they have already deployed or were planing to deploy on public and private clouds. Figure 5 summarizes the leading attractions to a public cloud. Figures 6 and 7 from [41] show thepreferred private and public cloud workloads, respectively. In Section 3.7 we introduced the concept of energy-proportional systems and we saw that different system components have different dynamic ranges. Sketch a strategy to reduce the power consumption in a lightly-loaded cloud and discuss the steps for placing a computational server in a standby mode and then for bringing it back up to an active mode. 21
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Figure 4: Workloads discussed in the IBM survey. We have seen in Section 3.7 that even at a very low load a server uses close to 50% of the energy consumption when delivering peak performance. The basic philosophy is to maintain all servers in an optimal region, a region where the relative performance is high while the relative power consumption is low. To achieve this goal, the applications running on a server working outside its optimal region should be migrated to other servers and the server should be switched to a sleep mode when its power consumption is negligible. Problem 5. Read the paper which introduced the concept of dataspaces [27] and analyze the benefits and the problems with this new idea. Research the literature for potential application of dataspaces to scientific data management in a domain of your choice, be it the search for the Higgs boson at CERN, structural biology, cancer research, or another important research topic which involves data-intensive applications. According to the paper “A New Abstraction for Information Management” semantic inte- 22
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Figure 5: Public cloud drivers. gration is a measure of how closely the schemas of the various data sources have been matched. In other words, how well the types, names, units, meanings, etc. of the data in the sources are matched up. At the high end of the spectrum, all data conforms to a single agreed-upon schema. At the low end, there is no schema information at all. In between lay various data integration solutions and approaches based on semi-structured data and controlled vocabu- laries. This dimension indicates the degree to which semantically rich query processing and data manipulation can be provided across a group of data sources, with higher degrees of integration providing richer functionality.
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