The need to process and store massive amounts of data—Big Data—is a reality. In areas
such as scientific experiments, social networks management, credit card fraud detection …

Modern object-oriented applications commonly suffer from severe performance problems
that need to be optimized away for increased efficiency and user satisfaction. Many existing …

Big Data applications suffer from unpredictable and unacceptably high pause times due to
Garbage Collection (GC). This is the case in latency-sensitive applications such as on-line …

Researchers have long strived to exploit program behaviour in order to improve garbage
collection efficiency. For example, by using a simple heuristic, generational GC manages …

The Java Virtual Machine (JVM) has become an execution platform targeted by many
programming languages. However, unlike with Java, a statically-typed language, the …

Developers commonly build contemporary enterprise applications using type-safe,
component-based platforms, such as J2EE, and architect them to comprise multiple tiers …

Pretenuring long-lived and immortal objects into infrequently or never collected regions
reduces garbage collection costs significantly. However, extant approaches either require …

The growth in complexity of modern systems makes it increasingly difficult to extract high-
performance. The software stacks for such systems typically consist of multiple layers and …

Originally developed with a single language in mind, the JVM is now targeted by numerous
programming languages—its automatic memory management, just‐in‐time compilation, and …

0004 An extensive survey of various garbage collection technologies is provided in R. Jones
and R. Lins: Garbage Collection: Algorithms for Dynamic Memory Management, Wiley …