SWARE: An approach to support software aging and rejuvenation experiments

Abstract

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. Soft-ware 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.

SWARE: A Methodology for Software Aging and Rejuvenation Experiments

“…Related Works section has the related works comparison, and Conclusions and Future Work section presents our conclusions and future works. This paper is an improvement and extension of our previous articles and (De Melo et al, 2017).…”

“…The experiment methodology is obtained from the papers (Torquato et al, 2017) and (De Melo et al, 2017). This methodology has two preliminary steps.…”

“…This paper is an extended and improved version of our previous works (Torquato et al, 2017) and (De Melo et al, 2017).…”

Prototype Development of Risk Mitigation for Software Anti-Ageing System

“…Failure to oversee risks will influence the success of maintenance causing software failures, decrease execution performance and diminishes the benefits from the computer program leading to early software retirement (Salmeron and Lopez). This situation leads to software ageing which is characterized as degradation of computer program execution, performance and quality influencing the capacity of the software to function and deliver its services normally [5,6]. Parnas [7] highlighted that software ages as a result of software product's proprietor failure to alter it to its changing needs or from the outcome of changes made.…”