Managed search engines, such as Apache Solr and Elastic-search, host huge inverted
indices in main memory to offer fast response times. This practice faces two challenges …

Garbage collection is an element of many contemporary software platforms whose
performance is determined by complex interactions and is therefore difficult to quantify and …

Embedding a modern language runtime as a component in a larger software system is
popular these days. Communication between these systems often requires keeping …

The cloud is an increasingly popular platform to deploy applications as it lets cloud users to
provide resources to their applications as needed. Furthermore, cloud providers are now …

We introduce the FORSETI system, which is a principled approach for holistic memory
management. It permits a sysadmin to specify the total physical memory resource that may …

Generational garbage collectors are one of the most common types of automatic memory
management. We can minimize the costs they incur by carefully choosing the points in a …

This paper explores automatic heap sizing where developers let the frequency of GC
expressed as a target overhead of the application's CPU utilisation, control the size of the …

High-level language runtimes are ubiquitous in every cloud deployment. From the geo-
distributed heavy resources cloud provider to the new Fog and Edge deployment …

Ubiquitous mobile platforms such as Android rely on managed language run-time
environments, also known as language virtual machines (VMs), to run a diverse range of …

Garbage collection plays a vital role in Java automatic memory management by freeing up
memory that is no longer in use by applications. Selecting the optimal Garbage Collector …