Before going to answer the following questions, you have read a paper, and you c

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Before going to answer the following questions, you have read a paper, and you can find it in this link: http://java.uom.gr/OOD/papers/IST_2007.pdf Summary of the paper What patterns are used in game design - (there are patterns is used to design games and the paper addressed that) and what each pattern is used for? - (each game uses a specific pattern in the paper) Advantages and disadvantages of using each pattern in game design (the authors mentioned to patterns that are used in the game and their Advantages and disadvantages)? What other patterns can also be used to design game? The following all patterns and the requirement is which pattern scan also is used to design game. Immutable, Marker Interface, Proxy, Factory Method, Abstract Factory, Builder, Singleton Prototype, object Pool, Filter, Composite, Read-Only Interface, Adapter, Iterator, Bridge, Facade, Flyweight. Dynamic Linkage, Virtual Proxy, Decorator, Cache Management, Chain of Responsibility, Command, Mediator, Snapshot, Observer, State, Null object, Strategy, Template Method, Visitor, Single Threaded Execution, Lock object) This is the title of paper:

Explanation / Answer

SQL-based relative servers area unit engineered to handle the strain of economic transactions, designed round the tenets of ACID: Atomicity, Consistency, Isolation, and sturdiness. These characteristics make sure that only 1 amendment is written to a knowledge field at a time, thus there are not any conflicting transactions created. If you withdraw $50 from associate degree ATM in state capital, associate degreed your significant other at the same time withdraws $100 from constant account at an ATM in Yeddo, the balance amendment needs to mirror both—not to say, it should do away with one among them if the account is overdrawn. Consistency implies that regardless of that info server you raise, you will get constant price regardless of who's asking or once.

ACID, though, does not matter abundant once you are simply reading information for analysis. and therefore the info locks that SQL infos use to shield database consistency in transactions will get within the means. the net ushered in what VoltDB Director of Product selling Dennis Duckworth calls "Web-scale attacks" on databases: as in, up to a whole bunch or maybe voluminous individuals wanting access to constant information sources at constant time. consider the "not available" messages you get after you try and access an internet service or website. The info is solely staggering underneath demand. Too many of us attempting to alter information at constant time gave rise to locks because the databases struggled to keep up consistency.

How does one scale an online business to handle that? It accustomed be that you'd obtain a much bigger server—an horsepower Superdome, say, or a large mainframe that would rescale. however that got costly quick. Businesses turned to purchasing cheaper, artefact boxes to scale out rather than up, distributing the info out over a whole bunch or maybe thousands of servers.

But outside of economic transactions, you do not perpetually would like the foremost up-to-the-second skills to jot down information. "Pretty close" is ok, like once the info is simply overwriting recent information and it's alright to get the results slightly wrong for a number of minutes. consider Google's classification. Its programme indexes the whole visible net daily. It cannot write the information whereas individuals area unit at the same time Googling constant search terms, thus it does not offer United States the foremost up-to-date result once we search. It offers United States the last, best answer it will.

That setup may be a very little sloppy, and it would not work for money transactions. however that ability is simply fine for developers WHO would like drop-dead-fast results, not pinpoint excellent.

NoSQL databases area unit usually related to "big data" tasks, handling giant volumes of information in numerous forms:

Columnar databases, for managing huge collections of straightforward structured information, like log files. Google, for its half, has Bigtable: a distributed, column-oriented information store to handle structured information related to the company's net search and internet services operations, as well as internet classification, MapReduce, Google Maps, Google Book Search, "My Search History," Google Earth, Blogger.com, Google Code hosting, YouTube, and mail sevices.
Key-value and alternative unstructured databases like MongoDB, that use rules outlined by programmers to comb through giant amounts of unstructured information, as well as documents and websites.

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