RAMmälust
RAMmälust is a term used in information technology to describe the practice of designing computer systems around large in-memory datasets and state held in volatile RAM to maximize speed and responsiveness. The concept emphasizes that most data and intermediate results reside in RAM, with persistent storage used primarily for durability and recovery. The name is a portmanteau of RAM and mälust (memory) and is used in some technical discussions to highlight memory-centric architectures.
Definition and scope: RAMmälust refers to in-memory computing approaches where data is loaded into RAM for
History: While the idea predates modern hardware, RAMmälust gained prominence with in-memory databases and analytics engines
Key characteristics: speed and latency reductions, scalability limits due to RAM cost and power, volatility risk
Applications and implications: Real-time analytics, streaming data processing, high-frequency trading, and machine learning inference benefit from
Variants and related concepts: in-memory databases, memory-centric architectures, caching, memory-mapped I/O, and persistent memories such as