Garbage Collection of Persistent Objects in Distributed Shared Memory

International audienceThis paper describes a garbage collection algorithm for distributed persistent objects in a loosely coupled network of workstations. Objects are accessed via a weakly consistent shared distributed virtual memory with recoverable properties. We address the specific problem of garbage collecting a large amount of distributed persistent objects, cached on several nodes for efficient sharing. For clustering purposes, objects are allocated within segments, and segments are logically grouped into bunches . The garbage collection subsystem combines three sub-algorithms: the bunches garbage collector that cleans one bunch (possibly multiply-cached) independently of any other, the scion cleaner that propagates accessibility information across bunches, and the group collector aimed at reclaiming inter-bunch cycles of dead objects. These three sub-algorithms are highly independent. Thus, the garbage collection subsystem has a high degree of scalability and parallelism. On top of this, it reclaims cycles of garbage, it does not require any particular communication support such as causality or atomicity, and is well suited to large scale networks

Kevoree Modeling Framework (KMF): Efficient modeling techniques for runtime use

The creation of Domain Specific Languages(DSL) counts as one of the main goals in the field of Model-Driven Software Engineering (MDSE). The main purpose of these DSLs is to facilitate the manipulation of domain specific concepts, by providing developers with specific tools for their domain of expertise. A natural approach to create DSLs is to reuse existing modeling standards and tools. In this area, the Eclipse Modeling Framework (EMF) has rapidly become the defacto standard in the MDSE for building Domain Specific Languages (DSL) and tools based on generative techniques. However, the use of EMF generated tools in domains like Internet of Things (IoT), Cloud Computing or Models@Runtime reaches several limitations. In this paper, we identify several properties the generated tools must comply with to be usable in other domains than desktop-based software systems. We then challenge EMF on these properties and describe our approach to overcome the limitations. Our approach, implemented in the Kevoree Modeling Framework (KMF), is finally evaluated according to the identified properties and compared to EMF.Comment: ISBN 978-2-87971-131-7; N° TR-SnT-2014-11 (2014