Trace Files for Automatic Memory Management Systems

2016 ◽  
Author(s):  
Md. Mazder Rahman ◽  
Konstantin Nasartschuk ◽  
Kenneth B. Kent ◽  
Gerhard W. Dueck
Keyword(s):  
Memory Management ◽  
Management Systems ◽  
Automatic Memory

scholarly journals Developing and Evaluating Management Services for Collective Memory ‡

Heritage ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 2206-2227
Author(s):  
Konstantinos Koukoulis ◽  
Dimitrios Koukopoulos
Keyword(s):  
Collective Memory ◽  
Sense Of Belonging ◽  
Memory Management ◽  
Social Impact ◽  
Social Groups ◽  
Evaluation Methodology ◽  
Management Systems ◽  
Impact Factors ◽  
Asia Minor ◽  
The Public

Collective memory is vital for people as it gives them the sense of belonging to a community. In particular, refugee population groups feel the need to maintain contact with their routes through collective memory, due to the abolishment of the physical connection to their homeland. However, people’s memories fade over time and stories are lost. In such a context a crucial question arises: Is it feasible to design and create a crowdsourcing collective memory management system for the benefit of such social groups preserving memory for next generations? In this work, we present a system that is able to collect and manage refugee stories disseminating them to the public. In order to stress the strength of the proposed system, we have created an evaluation methodology that assesses such a system in terms of system services and system stakeholders’ real impact. We chose to deal with the collective memory of refugee groups coming from Asia Minor to Greece at the end of the first quarter of the twentieth century. Evaluation results reveal that such a system positively affects personal and social impact factors. Furthermore, a preliminary results analysis suggests specific interactions among the examined personal and social impact factors. We believe that the proposed system facilitates the needs of collective memory management and the assessment scheme could be adapted in the creation and evaluation of collective memory management systems.

Designing a Hard Real-Time System with Automatic Memory Management

1991 ◽  
Vol 24 (2) ◽  
pp. 71-72
Author(s):  
E.E. Ferguson ◽  
D.S. Cook ◽  
D.H. Bartley
Keyword(s):  
Real Time ◽  
Memory Management ◽  
Time System ◽  
Real Time System ◽  
Hard Real Time ◽  
Automatic Memory

scholarly journals A performance comparison of garbage collector algorithms in Java Virtual Machine

2019 ◽  
Vol 13 ◽  
pp. 359-365
Author(s):  
Igor Kopeć ◽  
Jakub Smołka
Keyword(s):  
Programming Languages ◽  
Memory Management ◽  
Garbage Collection ◽  
Performance Comparison ◽  
Java Virtual Machine ◽  
Garbage Collector ◽  
System Responsiveness ◽  
Automatic Memory ◽  
A Performance

In programming languages with automatic memory management garbage collection plays an important role of cleaning unused memory. Garbage collection algorithms have been developed for many years and aim to maximize the application’s performance. This paper presents and compares a performance of five garbage collection algorithms present in current version of Java 12 in three applications with different object lifetime span. The analysis covered the system responsiveness, garbage collector workload and application throughput at high application load.

Sign in / Sign up

Export Citation Format

Share Document