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League of Legends is the world's largest esport, with an international competitive scene consisting of multiple regional leagues that culminate in an annual League of Legends World Championship. The 2019 event registered over 100 million unique viewers, peaking at a concurrent viewership of 44 million during the finals .
The event dispatching thread (EDT) is a background thread used in Java to process events from the Abstract Window Toolkit (AWT) graphical user interface event queue. It is an example of the generic concept of event-driven programming, that is popular in many other contexts than Java, for example, web browsers, or web servers.
Elo hell (also known as MMR hell) is a video gaming term used in MOBAs and other multiplayer online games with competitive modes. [1] It refers to portions of the matchmaking ranking spectrum where individual matches are of poor quality, and are often determined by factors such as poor team coordination which are perceived to be outside the individual player's control.
One form of HOL blocking in HTTP/1.1 is when the number of allowed parallel requests in the browser is used up, and subsequent requests need to wait for the former ones to complete. HTTP/2 addresses this issue through request multiplexing, which eliminates HOL blocking at the application layer, but HOL still exists at the transport (TCP) layer ...
The scheduler is an operating system module that selects the next jobs to be admitted into the system and the next process to run. Operating systems may feature up to three distinct scheduler types: a long-term scheduler (also known as an admission scheduler or high-level scheduler), a mid-term or medium-term scheduler, and a short-term scheduler.
A ready queue or run queue is used in computer scheduling. Modern computers are capable of running many different programs or processes at the same time. However, the CPU is only capable of handling one process at a time. Processes that are ready for the CPU are kept in a queue for "ready" processes. Other processes that are waiting for an ...
Each queue is serviced based on how much packets are served in each queue. If that limit is met, the network OS will hold packets of current queue and services the next queue until that queue is empty or it reaches its packet limit. If one queue is empty, the network OS will skip that queue and service the next queue.
A follow-up paper by Kogan and Petrank [20] provided a method for making wait-free algorithms fast and used this method to make the wait-free queue practically as fast as its lock-free counterpart. A subsequent paper by Timnat and Petrank [ 21 ] provided an automatic mechanism for generating wait-free data structures from lock-free ones.