What Is Medium-Level Language (MLL)?

TechDogs Avatar

If you're a computer programmer, you've probably heard of "high-level" and "low-level" languages. What about medium-level languages? They're like the in-between step between low-level and high-level. It's like speaking to your friend in English, and then they ask you to say it in Spanish but with a French accent. You can only quite do that if fewer layers of translation are involved. That's why medium-level programming languages are called "pseudo languages" because they don't really exist. They're just an approximation of something else. Medium-level programming languages interact with the abstraction layer of a computer system. This means that they're used to communicating with the hardware components of a computer system (like its processor) without having to deal with all their complexities individually (which would be impossible). It also means that when you write code using a medium-level programming language, it can be translated into another higher-level programming language or even directly into machine code (the native language for computers). Medium-level language is the level of computer programming that helps you write in a way that can be easily translated into machine language. It's like having English, which is easy for everyone to read and understand but also has a secret code that no one else knows except you and your friends. This could be confusing and make it hard to communicate with others. Yet it's pretty easy to use! For example, if you're writing in English and want to tell someone "I love you" but don't have time to say it, you could write "ILY." That stands for "I love you" in a code that only people who know how to read small letters learn how to do. If they know how to read small letters too? They'll then know what ILU means: "I love you too!" When it comes down to it? Medium-level language is the same as human language. It makes things easier!

TechDogs Logo

Related Terms by Software Development

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.

...See More

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).

...See More

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.

...See More

Trending Definitions

Zero-Configuration Network (Zeroconf)

Zeroconf, or Zero-Configuration Network, is the networking equivalent of a fairy godmother. It's a collection of technologies that eliminate manual configuration and setup by making it simple for devices to find and connect on a local network. #networking #autoconfig Previously, IP addresses and other settings had to be manually configured when connecting devices to a network. No more fiddling with IP addresses and further tedious configuration details; Zeroconf enables devices to set themselves up automatically. #manualconfig Zeroconf relies heavily on a protocol called multicast DNS (mDNS) (multicast Domain Name System). Networked devices can announce their availability to one another using human-friendly names, such as "Johns-iPad," rather than numeric IP addresses, such as "192.168.1.104." #mdns Dynamic Host Configuration Protocol (DHCP) is an additional critical technology that allows for the automatic assignment of IP addresses to devices on a network. Devices can self-assign IP addresses with Zeroconf, so a DHCP server isn't required. #dhcp Also included in Zeroconf is the technology behind automatic IP address assignment, known as Link-Local addressing for devices on the same network segment. And Apple's Zeroconf implementation, Bonjour, simplifies finding and connecting to networked resources like printers, file shares, and media servers. #bonjour #linklocal What is the big deal about Zeroconf, then? The ease with which devices can find and connect on a local network paves the way for many novel uses and applications. Zeroconf allows you to set up a temporary network for a meeting or event without having to configure any network settings or to connect your phone to a wireless speaker without entering any network passwords. #invention #easeofuse Zeroconf is a collection of technologies that facilitates simple networking through automatic configuration and straightforward device discovery and connection. It's like having a network fairy who can make wishes come true with the wave of a wand. Tags: #zeroconf #autoconfig

...See More

Scale Out

Scaling up is the old way of doing things. You had a storage facility, and it was big. Then you got bigger and needed more space to store your stuff. So, you bought another storage facility and added that to your existing one. Pretty simple, right? What if there was a more helpful way? What if you could add more space for your stuff instead of buying more? That's were scaling out comes into play! When we scale out, we're adding new resources (i.e., hardware) instead of increasing the capacity of current resources to increase capacity. In a cloud storage facility, following a scale-out growth would mean that new storage hardware and controllers would be added to increase capacity. This has two apparent pros: storage capacity is improved, and traffic capacity is also expanded because there is more hardware to share the load. Scale-out is a way of increasing the power of a system by adding more hardware resources rather than increasing the capacity of what you already have. This can be especially important when it comes to storage because storage systems often need more than just more storage space. They also need better controllers and load balancing. There needs to be more than a scale-up approach to increasing capacity in large cloud storage systems to handle increased data traffic if multitenancy and scalability are required. When trying to grow your business, it's essential to know whether you should scale up or out. The old-fashioned way of thinking was to scale up, that is, add more hardware resources and increase capacity. This made sense when hardware costs were high, and it was expensive to throw money at a problem. Now, that computers are relatively cheap and easy to buy, the smart move is to scale out. Instead of adding more hardware resources, you would add more computers or servers instead.

...See More

Teradata

You know how you're always trying to get more people to your parties, but you need help finding the right way to get the word out? We could have been a little more secrative about it but there is a solution for you: Teradata. It's a database system that lets you efficiently manage large data warehousing operations. It even has its party planner! Teradata is a relational database management system produced by Teradata Corp. It contains large data warehousing operations and does that very well! Teradata's scalable architecture allows it to handle the needs of large IT organizations with millions of transactions per second or even more. It can also be scaled down to suit smaller businesses looking for a more straightforward solution. Teradata was developed in the 1970s and used to manage large databases. The company behind it, Teradata Corp., was founded in 1982 and has offices worldwide. The system is designed to handle large amounts of information and perform complex analyses on that data, so it's often used for complex analytics projects that require a lot of processing power. The Teradata database system is established on off-the-shelf symmetric parallel technology, combined with communication and networking, connecting symmetric multiprocessing systems to form sizeable similar processing systems. Symmetric multiprocessing (SMP) involves using multiple processors in a single computer system, each with its memory and all connected via a common bus. These processors can be configured in several ways: one giant shared memory (cache), multiple non-shared memories (separate caches), or even non-shared memories with different buses. SMP systems are typically used for database management, scientific computing and numerical analysis applications. Teradata uses SMP technology to build a database management system capable of scaling thousands of processors using tens of terabytes of RAM and petabytes of storage space.

...See More

Trending Articles

Join Our Newsletter

Get weekly news, engaging articles, and career tips-all free!

By subscribing to our newsletter, you're cool with our terms and conditions and agree to our Privacy Policy.

Home

Hot Topic: AI

News

Articles

Branded Insights

  • Dark
  • Light