What Is Voice Over Instant Messenger (VoIM)?

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Sending a voice note through your instant messaging app is called "Voice Over Instant Messenger" (or "VoIM" for short). But what if that digital voice memo disappears forever? This is where the trending topic of #VoIMPacketLoss comes in handy. Think of an instant messaging app where your voice note never makes it to your friend because of a poor connection. Similarly, voice-over instant messaging (VoIM) packet loss occurs when some data packets carrying the voice information over the IM app are lost or dropped. This can lead to a choppy or broken call. It's as if you were trying to have a conversation with someone, but some words or sentences need to be included, making it difficult to understand the other person. Network congestion, aging hardware, and physical problems are all potential causes of packet loss. It's like when you're trying to reach your destination, but the road you want to take is closed or undergoing construction, and you have to take an alternate route. Another cause is when network traffic exceeds what the network is capable of handling. It's like cramming too many people into a small car; eventually, some will have to wait outside. Call drops, stuttering audio, and other issues can all be brought on by packet loss. It's like talking to someone on the phone who has a terrible signal, and you can't make out a word they're saying. In addition, it can hinder the caller's ability to understand the other party, leading to frustrating communication difficulties. Trying to communicate with someone who uses a language you don't understand is like having a conversation with someone who uses a vocabulary you don't know. Quality of Service (QoS) mechanisms that give voice traffic priority over other types of network traffic and error-correction protocols are two examples of approaches that can be taken to reduce and eliminate packet loss.

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Related Terms by Communication And Collaboration Software

Sentiment Analysis

Sentiment analysis is a lot like having the ability to discern minds, except it's done with computers. Opinion mining is a data mining subfield that utilizes unstructured text analysis to gauge consumer sentiment toward a brand, individual, or concept. Sentiment analysis is a technique for gleaning emotional data from online sources using NLP, computational linguistics, and text analysis. Social media sites and other online forums where users post their thoughts and observations on various subjects are familiar places to find this data. Sentiment analysis uses complex algorithms and machine learning methods to identify a person's opinion's positive, negative, or neutral nature. As a bonus, it can determine whether the text is joyful, sad, angry, or anxious, as well as other emotions. The results of this analysis can be used to calculate the extent to which the public approves or disapproves of various brands, individuals, and concepts. Knowing the thoughts and preferences of customers can be invaluable to companies and organizations. A business may employ mood analysis to monitor customer feedback via social media and use the results to improve its offerings. The material's polarity in its context can also be revealed through sentiment analysis. It can tell you how people feel about a subject or entity and what it is about that subject or entity that people like or dislike. Sentiment analysis can show, for instance, that consumers have a generally positive attitude toward a given brand but a negative attitude toward its customer service. To sum up, sentiment analysis is a subfield of data mining that assesses consumer reaction to a brand, individual, or concept by examining written language. It's like having the ability to read thoughts, only this time, and it's accomplished through complex mathematical formulas stored in a computer. Sentiment analysis, or opinion mining, is a method for gleaning and analyzing biased data from online sources, such as social media and blogs. Data analysis can reveal the contextual polarity of information and provide quantitative estimates of the public's feelings or responses to specific goods, people, or ideas.

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Self-Provisioning

If you're like most people, you're always looking for ways to get out of work. So when we heard about self-provisioning—the ability to set up services and applications by yourself without the help of a dedicated IT specialist or service provider—we were all over it. It's like having your server, except that instead of having to buy your server, pay for its maintenance, and hire an IT person to manage it when things go wrong, you sign up with a cloud provider who has already done everything for you. Moreover, they'll even let you use their servers for free! So if you have ever wanted to launch your website but didn't want to take on the burden of managing it yourself, or if you've been dreaming of starting an online business but didn't want to spend all that money on servers and software licenses well, now's your chance! Self-provisioning is excellent, but the self-de-provisioning part is even more significant. Provisioning is like getting a massage—you know what you want and are in charge of getting it. Deprovisioning is like getting a haircut—it's a little more complicated than telling someone what to do. It requires much attention to detail and technical skill to ensure you're not cutting off any substantial parts of yourself in your zeal to be smooth and sleek. We don't want you to be soft and elegant! We want you to be well-groomed! So here are some tips for taking care of yourself by taking care of your resources. Always deprovision after using a resource so that others can use it when they need it later. Only do something once you've found another that does what that other one did for you (and then de-provision the old one).

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Secure Hash Algorithm (SHA)

Secure Hash Algorithm is a set of algorithms developed by the National Institutes of Standards and Technology and other government and private parties. Cryptographic hashes (or checksums) have been used for electronic signatures and file integrity for decades. However, these functions have evolved to address some of the cybersecurity challenges of the 21st century. The NIST has developed a set of secure hashing algorithms that act as a global framework for encryption and data management systems. The initial instance of the Secure hash Algorithm (SHA) was in 1993. It was a 16-bit hashing algorithm and is known as SHA-0. The successor to SHA-0, SHA-1, was released in 1995 and featured 32-bit hashing. Eventually, the next version of SHA was developed in 2002, and it is known as SHA-2. SHA-2 differs from its predecessors because it can generate hashes of different sizes. The whole family of secure hash algorithms goes by the name SHA. SHA-3, or Keccak or KECCAK, is a family of cryptographic hash functions designed by Guido Bertoni, Joan Daemen, Michaël Peeters, and Gilles Van Assche. SHA-3 competition to develop a new secure hash algorithm was held by the United States National Security Agency (NSA) in 2007. To be a super safe and fast hashing algorithm, SHA3 was developed from this contest. The evolution of cybersecurity has led to the development of several "secure hash algorithms." Security is a crucial concern for businesses and individuals in today's digital world. As a result, many types of encryption have been developed to protect data in various scenarios. One of these is hash algorithms. All secure hash algorithms are part of new encryption standards to keep sensitive data safe and prevent different types of attacks. These algorithms use advanced mathematical formulas so that anyone who tries to decode them will get an error message that they aren't expected in regular operation.

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Trending Definitions

Future Proof

Future Proof is about to get a whole lot more complicated. It's a term that gets tossed around by people in the tech industry, but it can also be applied to any field. It means "not needing to be updated or replaced because it is compatible with future technology." Here's the thing: only some items are genuinely future-proof. A regular cycle of replacing and updating is the norm in any field that depends heavily on technology. Think about it: How frequently have you heard someone say they will buy an iPhone because they're sure Apple will come out with something better before long? How often have you heard someone say they'll buy an Android phone because they're sure Google will come out with something better before long? Even if these companies make their products as "future-proof" as possible, they can't make them 100% immune from change—even if they've got some magic crystal ball that lets them know what the future holds. Future-proofing is much work. Even if you were to somehow create an infallible system, it would be obsolete when it was completed. Think about it: If you were to build the perfect car, it would only be valid for a few years before newer models came out with better features and designs. If you made a house that could withstand any natural disaster or weapon, it would still need maintenance now and then, which means that eventually, someone will find a way to destroy it. The same goes for software design: there's no way to make something that doesn't need to be updated at some point in its life cycle because new technology will always outpace what was available when it was first created. So you should probably chuckle when you hear someone talking about their company's "future-proof" product or service or when someone asks about your future-proofing plans.

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Cache Server

Having a Cache Server means you can browse the internet faster. You no longer need to wait for data to travel from the web to you and back again. All of that unnecessary time spent is your time spent, and with a cache server, you could be browsing multiple times faster than before. Can use a cache server in a variety of scenarios. For example, you work at an office and frequently visit a particular website for news and updates. In that case, you can set up a cache server in your office network and have it store the news articles on that server so that they are available to you at a faster speed. Similarly, setting up a cache server can help reduce traffic if many employees access the same website. Again, if you are using an internet service provider with data limits, having a cache server can also help you by making the data available locally for faster access. When a user requests a website, it can be stored in a server as a cache if frequently visited. When another user requests the same website, they are served the cached version instead of the original one. The benefit of a cache server is that it saves bandwidth, especially during high website traffic. If the website is frequently visited, it can be done from the cache server. Another helpful example of a cache server is if you have a data-heavy website receiving significant traffic. You could set up a cache server to store the site’s data and serve it to the people visiting, thus reducing the stress on the central server and letting it focus on handling traffic and updating code instead of loading assets. You can also use a cache server as a staging area for your code. Since the cache server is usually low-traffic and has a larger storage capacity, using it as a staging area for code makes sense. Instead of pushing new code directly to production, you can try it to the cache server and manually move it to show when it’s ready.

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Composable Infrastructure

A novel or basic form of physical infrastructure has been called "composable," The term has been given that name. It's an architecture that works a lot like a sandwich in that it's made up of distinct components, but you put them all together to make a whole thing out of it. As different parts of computing, storage, and networks may be managed as separate services, linking them all to a single hardware platform is not required. This is because these aspects can be handled independently. This enables a greater degree of adaptability. Sharing resources helps provide what these components need to function successfully on their own and what they will require when integrated into the more extensive system. This is because sharing resources allows them to provide what they need to function successfully on their own and what others require. Application programming interfaces can help firms install these infrastructures (APIs). Corporate infrastructure has evolved into modular infrastructures that can be easily rearranged and rebuilt as the firm grows. This allows the infrastructure to keep pace with the company's growth. The vast majority of contemporary businesses have these infrastructures in place. This is because the infrastructures are only loosely connected. Still, it is also because there is more information on how they were initially put together than in a traditional environment that does not allow for composition. This is because conventional settings do not qualify for composition. Enterprises can stay lean while they scale up or make other changes with composable infrastructures. They are flexible enough to accommodate rapid change without worrying about legacy systems, which demand trial and error whenever anything new is introduced, which can be time-consuming and expensive. They can do this because they are adaptable enough to accommodate rapid change.

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