SWARE: An approach to support software aging and rejuvenation experiments

  • Matheus D'Eça Torquato de Melo Federal Institute of Alagoas, Campus Arapiraca
  • Jean Araujo Federal Rural University of Pernambuco (UFRPE), Campus Garanhuns
  • I M Umesh Bharathiar University, Coimbatore, India
  • Paulo Romero Martins Maciel Informatics Centre, Federal University of Pernambuco

Abstract

The need for uninterrupted computing services demands for high system availability and reliability. Techniques and methods to estimate and analyze system dependability are essential to support software deployment and maintenance. Software aging appears as a relevant issue in this context. Software aging is a cumulative process which leads long-running systems to hangs or failures. Software rejuvenation is used to counteract software aging. Software rejuvenation usually comprises system reboot or application restart to bringing software to a stable fresh state. This paper proposes an approach to investigate software aging effects and software rejuvenation effectiveness on a single experiment. The approach has three phases: (i) Stress Phase - stress environment with the accelerated workload to induce bugs activation; (ii) Wait Phase - stop workload submission to observe the system state after workload submission; (iii) Rejuvenation Phase - find the impacts caused by the software rejuvenation. We named our approach as SWARE (Stress-Wait-Rejuvenation). To validate the SWARE approach, we present a case study. This case study consists of an experiment of VM Live Migration as rejuvenation mechanism for VMM software aging. The considered testbed is a Private Cloud with OpenNebula and KVM 1.0. The obtained results show that VM live migration is useful as rejuvenation for VMM software aging.

Published
2017-08-30
How to Cite
MELO, Matheus D'Eça Torquato de et al. SWARE: An approach to support software aging and rejuvenation experiments. Journal on Advances in Theoretical and Applied Informatics, [S.l.], v. 3, n. 1, p. 31-38, aug. 2017. ISSN 2447-5033. Available at: <http://revista.univem.edu.br/jadi/article/view/2441>. Date accessed: 19 nov. 2017.