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Defining terms in a dissertation

Defining terms in a dissertation

defining terms in a dissertation

May 11,  · In terms of web services, the commonly accepted paradigm is to avoid sessions at all costs. While this certainly doesn’t apply to every single use case, using sessions as a method for communicating state is generally something you want to avoid. To start with, sessions add a large amount of complexity with very little added value defining certain key terms; providing an overview of the dissertation or report structure; Examples of phrases which are commonly employed to realise these functions can be seen by clicking on the headings listed below. Note that there may be a certain amount of overlap between some of the categories under which the phrases are listed Jun 01,  · Non-Empirical Dissertation- Non-empirical dissertation involves collecting the data from existing research and arguments. While working on a non-empirical dissertation, students have to be friends with the books. Defining the consequence of the issue ; Glossary- You need to list the terms and words you used in your dissertation and are



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Like many industries, the API space has its own jargon, defining terms in a dissertation. But for for newcomers, these subtle definitions may not be as apparent. Take the difference between stateless and stateful ; an invaluable distinction within the development of APIs and the services that use those systems. To understand statelessness, one must understand statefulness.


This is a stateful system. This is statefulness. With this in mind, what does a stateful web service looks like? If the web server stores this data in a backend manner and uses it to identify you as a constantly connected client, the service is stateful. Do keep in mind that this defining terms in a dissertation a very specific example that exists in other forms, so what seems stateful may not necessarily be stateful — more on this later.


As you use the web service, everything you do is referenced back to this defining terms in a dissertation state. When you request an account summary, the web service asks two things:. In a stateful web service like this, the response formed from a simple GET request is entirely dependent on the state registered by the server.


Without knowledge of that state, your request cannot be returned properly. Another great example is FTP. When a user logs in to a traditional FTP server, defining terms in a dissertation, they are engaging in an active connection with the server.


Each change to the state of the user, such as active directory, is stored on the server as a client state. Each change made to the server is registered as a change of state, and when the user disconnects, their state is further changed to disconnected. So far so good, right? Well, not quite, defining terms in a dissertation. Stateful programming is fine in some very limited applications, but it has a lot of issues. In a stateful system where the state is determined by the client, defining terms in a dissertation, how long is the system supposed to leave this connection open?


How do we verify if the client has crashed or disconnected? How do we track the actions of the user while maintaining the ability to document defining terms in a dissertation and roll back when necessary? While there are certainly workarounds for all of these questions, more often than not, statefulness is only really useful when the functions themselves depend on the statefulness quality.


The answer to these issues is statelessness. Stateless is the polar opposite of stateful, in which any given response from the server is independent of any sort of state. The speaker could easily say the secret word, defining terms in a dissertation, tell you to change the name, then walk away. This is a stateless system. Statelessness is a fundamental aspect of the modern internet — so much so that every single day, you use a variety of stateless services and applications.


When you read the news, you are using HTTP to connect in a stateless manner, utilizing messages that can be parsed and worked with in isolation of each other and your state. If you have Twitter on your phone, defining terms in a dissertation, you are constantly utilizing a stateless service. When the service requests a list of recent direct messages using the Twitter REST API, it issues the following request:.


In the example below, we are invoking a POST command, creating a record on HypotheticalService:. In this example, we are creating an entry, but this entry does not depend on any matter of state.


Even with all of this in mind, you can plainly see that doing a POST issuance in a stateless manner means that you do not have to wait for server synchronization to ensure the process has been properly completed, as you would with FTP or other stateful services. You receive a confirmation, but this confirmation is simply an affirmative response, rather than a mutual shared state. As a defining terms in a dissertation note, it must be said that REST is specifically designed to be functionally stateless.


The entire concept of Representational State Transfer from which REST gets its name hinges on the idea of passing all data to handle the request in such a way as to pair the data within the request itself.


Thus, REST should be considered stateless and, in fact, that is one of the main considerations as to whether something is RESTful or not as per the original dissertation by Roy Fielding which defining terms in a dissertation the concept. We need to be somewhat careful when we talk about web services defining terms in a dissertation examples of stateful or stateless, though, because what seems to fall in one category may not actually be so.


This is largely because stateless services have managed to mirror a lot of the behavior of stateful services without technically crossing the line. Statelessness is, just like our example above, all about self-contained state and reference rather than depending on an external frame of reference.


The difference between it and statefulness is really where the state is stored. When we browse the internet or access our mail, we are generating a state — and that state has to go somewhere. When the state is stored by the server, it generates a session. This is stateful computing. In the client cookie, we store some basic authentication data. On the server side, we create some temporary client data or store on a database, and reference it to an external piece of data.


In terms of web services, the commonly accepted paradigm is to avoid sessions at all costs. To start with, sessions add a large amount of complexity with very defining terms in a dissertation added value. Sessions make it harder to replicate and fix bugs.


All of these are significant issues, but they pale in comparison to the simple fact that sessions are not scalable.


Now imagine you were not remembering anything of those games, and you were just rereading the chessboard on every move. You could literally play 1. Now draw an analogy to your server. If your application gets a lot of load, you might have to distribute it to different servers. The system would become even more complex and error prone. There are, of course, situations in which sessions make sense, especially when servers wanted to store state without having even the slight potential of modified client runtime data.


For instance, FTP is stateful for a very good reason, as it replicates changes on both the client side and server side while delivering increased security due to the nature of the requested access. This is doable because a single person needs to access a single server for a single stated data transferral, even if the transferral involves multiple folders, files, and directories.


In this case, stateless would be a much better choice. We hope this has cleared up the difference between stateful and stateless architectures when it comes to APIs. Understanding this simple concept is the foundation upon which most architectures and designs are based upon — such lofty concepts such as RESTful design are based around these ideas, so having a sound conceptual framing is extremely important.


Kristopher is a web developer and author who writes on security and business. He has been writing articles for Nordic APIs since High impact blog posts and eBooks on API business models, and tech advice. Connect with market leading platform creators at our events. Can't make it to the event? Signup to the Nordic APIs newsletter for quality content. High impact blog posts on API business models and tech advice. Share your insights on the blog, speak at an event or exhibit at our conferences and create new business relationships with decision defining terms in a dissertation and top influencers responsible for API solutions.


Platform Summit Blog About Nordic APIs Contact Us E-books Write Speak Sponsor. Kristopher Sandoval Kristopher is a web developer and author who writes on security and business.


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defining terms in a dissertation

defining certain key terms; providing an overview of the dissertation or report structure; Examples of phrases which are commonly employed to realise these functions can be seen by clicking on the headings listed below. Note that there may be a certain amount of overlap between some of the categories under which the phrases are listed ties in Turkey between and , in terms of “Population and Sample” using docu- ples such as defining research techniques and population and sampling. dissertation is read from first page to last page to categories the data May 11,  · In terms of web services, the commonly accepted paradigm is to avoid sessions at all costs. While this certainly doesn’t apply to every single use case, using sessions as a method for communicating state is generally something you want to avoid. To start with, sessions add a large amount of complexity with very little added value

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