By Eduardo Martins Guerra, Ednelson Oliveira (auth.), Zaigham Mahmood (eds.)
This e-book offers either state of the art examine advancements and useful tips on methods, applied sciences and frameworks for the rising cloud paradigm. subject matters and contours: offers the cutting-edge in cloud applied sciences, infrastructures, and repair supply and deployment versions; discusses proper theoretical frameworks, functional methods and advised methodologies; deals advice and top practices for the improvement of cloud-based providers and infrastructures, and examines administration points of cloud computing; stories buyer views on cellular cloud computing and cloud-based firm source making plans; explores software program functionality trying out, open-source cloudware aid, and evaluation methodologies for modernization, migration and pre-migration; describes rising new methodologies suitable to the cloud paradigm, and offers feedback for destiny advancements and learn directions.
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Additional resources for Cloud Computing: Methods and Practical Approaches
2 this solution is represented by the class Repository, which can intermediate the communication between FrameworkController and MetadataReader. This class can create a cache of the instances of MetadataContainer already retrieved, improving framework performance after the first call. The Repository can also be a central component where metadata can be retrieved easily by all the framework components. 2 Flexibility on Metadata Reading By the introduction of a component responsible to read metadata, it is possible to apply solutions to this mechanism transparently from the other parts of the framework.
Wiley, New York (1999) 12. : Framework problems and experiences. , Johnson, R. ) Building Application Frameworks: Object-Oriented Foundations of Frameworks Design. Wiley, New York (1999) 1 Metadata-Based Frameworks in the Context of Cloud Computing 23 13. : Design Patterns for Object-Oriented Software Development. Addison Wesley, Reading (1995) 14. : Evolution, architecture, and metamorphosis (Chap. 13). , Kerth, N. ) Pattern Languages of Program Design 2, pp. 295–314. AddisonWesley Longman, Boston (1996) 15.
Cinquini • E. Law • G. Chang • S. Hardman • K. A. gov Z. 1007/978-1-4471-5107-4_2, © Springer-Verlag London 2013 25 26 D. Crichton et al. 1 Introduction Cloud computing promises substantial, on-demand computing and storage capabilities, scalable by design and by agreed-upon levels of service. Within science, scalability is an important need since the instruments capable of producing massive amounts of data have emerged. These instruments capture a variety of observations generating copious amounts of data, be it remote observations of Mars, in situ ground sensors measuring greenhouse gases, or information related to feedback loops for oil and gas drilling areas.