Download Web-Scale Data Management for the Cloud by Wolfgang Lehner PDF

By Wolfgang Lehner

The effective administration of a constant and built-in database is a critical activity in sleek IT and hugely proper for technology and undefined. not often any severe company answer comes with none performance for dealing with info in its diverse varieties.

Web-Scale facts administration for the Cloud addresses basic demanding situations posed via the necessity and wish to supply database performance within the context of the Database as a carrier (DBaaS) paradigm for database outsourcing. This ebook additionally discusses the inducement of the recent paradigm of cloud computing, and its impression to information outsourcing and service-oriented computing in data-intensive purposes. thoughts with appreciate to the aid within the present cloud environments, significant demanding situations, and destiny traits are lined within the final element of this ebook. A survey addressing the ideas and detailed requisites for construction database companies are supplied during this e-book as well.

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As a final comment, we would like to point out two variants of the classical virtualization principle. , some real hardware components are directly visible and accessible by the guest operating systems. g. g. graphic cards). However, para-virtualization requires the guest operating system to be virtualization-aware. To run in a para-virtualized setup, the guest operating system has to be modified in order to implement the modified interface that is provided by the hypervisor. Secondly, virtualization on 28 2 Virtualization for Data Management Services Fig.

4 This typical separation of transactional mode and analytical mode is also reflected within the structure of the book (see next two chapters); Although there is a clear trend in bringing both world closer together in order to provide real-time analytics, the methods and techniques used to implement and optimize transactional systems or platforms for large-scale data analytics are worth to be considered separately. 3 Summary To summarize, there exists a huge variety of use cases exploiting the concept of virtualization; virtualization may be implemented at different layers – ranging from a physical device layer to abstract from the real implementation and physical characteristics to the concept of schema sharing where multiple (obviously similar) applications share the same database schema.

The content of the same tenant tables are stored in a single system table, while the tenants interact only with their virtual tables. If a tenant inserts data into a virtual table, the tuples are associated with the tenant and inserted into the corresponding system table. In the system table, each tuple is associated with a single tenant. The tenant references the entries via the primary key of the virtual table as part of a composite primary key of the system table. If a tenant queries its private data, the virtualization layer rewrites the query.

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