Understanding cloud computing classifications in .NET framework

Print QR Code in .NET framework Understanding cloud computing classifications

Understanding cloud computing classifications
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class Patient(db.Modal); firstName = db.UserProperty() lastName = db.UserProperty() dateOfBirth = db.DateTimeProperty() sex = db.UserProperty()
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This code creates and stores an object:
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patient = Patient() patient.firstName = "George" patient.lastName = "James" dateOfBirth = "2008-01-01" sex = "M" patient.put()
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This code queries a class:
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patients = Patient.all() for patient in patients: self.response.out.write('Name %s %s. ', patient.firstName, patient.lastName)
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And this code selects the 100 youngest male patients:
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allPatients = Patient.all() allPatients.filter('sex=', 'Male') allPatients.order('dateOfBirth') patients = allPatients.fetch(100)
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Amazon s SimpleDB is conceptually similar to BigTable and forms a key part of the Amazon Web Services (AWS) cloud computing environment. (Microsoft s SQL Server Data Services [SSDS] provides a similar capability in their Azure cloud.) Like BigTable, this is a key-value type of database. The basic organizing entity is a domain. Domains are collections of items that are described by attribute-value pairs. You can see an abbreviated list of the SimpleDB API calls with their functional description in table 2.4.
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Table 2.4 Amazon s SimpleDB API summary API call API functional description Creates a domain that contains your dataset. Deletes a domain. Lists all domains. Retrieves information about creation time for the domain, storage information both as counts of item names and attributes, and total size in bytes. Adds or updates an item and its attributes, or adds attribute-value pairs to items that exist already. Items are automatically indexed as they re received. For greater overall throughput of bulk writes, performs up to 25 PutAttribute operations in a single call.
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CreateDomain DeleteDomain ListDomains DomainMetadata
PutAttributes
BatchPutAttributes
The technological underpinnings of cloud computing
Table 2.4 Amazon s SimpleDB API summary (continued ) API call API functional description Deletes an item, an attribute, or an attribute value. Retrieves an item and all or a subset of its attributes and values.
DeleteAttributes GetAttributes Select
Queries the data set in the familiar Select target from domain_name where query_expression syntax. Supported value tests are =, !=, <, >, <=, >=, like, not like, between, is null, isn t null, and every(). Example: select * from mydomain where every(keyword) = "Book". Orders results using the SORT operator, and counts items that meet the condition(s) specified by the predicate(s) in a query using the Count operator.
Converting an existing application to use one of these cloud-based databases is somewhere between difficult and not worth the trouble; but for applications already using the Object-Relational Mapping (ORM)-based frameworks, these cloud databases can easily provide core data-management functionality. They can do it with compelling scalability and the same economic benefits of cloud computing in general. But as table 2.5 illustrates, there are definite drawbacks to these new types of cloud databases that you must take into account when contemplating a shift to the cloud.
Table 2.5 Cloud database drawbacks Challenges faced with a cloud database Applications using cloud databases are largely responsible for maintaining the integrity of transactions and relationships between tables. Cloud databases (and ORM in general) excel at single-row transactions: get a row, save a row, and so on. But most nontrivial applications have to perform joins and other operations that cloud databases can t. Application data has value not only in terms of powering applications but also as information that drives business intelligence. The dilemma of the pre-relational database, in which valuable business data was locked inside impenetrable application data stores, isn t something to which business will willingly return.
Database use Transactional support and referential integrity Complex data access
Business Intelligence
Cloud databases could displace the relational database for a significant segment of nextgeneration, cloud-enabled applications. But business is unlikely to be enthusiastic about an architecture that prevents application data from being used for business intelligence and decision-support purposes, which fundamentally require a relational database. An architecture that delivered the scalability and other advantages of cloud databases without sacrificing information management would fit the bill. We can expect a lot of innovation and advancements in these database models over the next few years.
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