Operating System Upgrade Research Articles

Minimizing Business Disruption During Enterprise End-Point OS Upgrade while Maintaining a Robust Security Posture

The deployment of a major end-point operating system (OS) upgrade presents significant challenges for enterprise organizations, requiring a comprehensive strategy to minimize business disruption and maintain a robust security posture. Beyond the operational complexities of managing user productivity and application compatibility, organizations must also proactively address the critical security risks associated with such large-scale technology transitions. Cybercriminals often target organizations undergoing major IT changes, seeking to exploit vulnerabilities that may arise due to shifts in the OS architecture, user workflows, and security controls. This paper outlines practical strategies for executing successful OS upgrade projects that balance operational resilience and cyber risk management. Key focus areas include proactive management of end-point security, comprehensive contingency planning and rollback procedures, strategies to sustain productivity and business continuity, effective end-user training and communication, and valuable insights into the next- generation OS deployment. By focusing on these critical aspects, organizations can navigate major OS upgrade initiatives while preserving vigorous business operations, enhancing end-user experience, and safeguarding sensitive data and systems from costly security incidents.

PRM174 - OPERATING SYSTEM UPGADES DO NOT ADVERSELY AFFECT ECOA COMPLETION BEHAVIOR WHEN USING A BRING YOUR OWN DEVICE (BYOD) APP.

To understand the effect of operating system upgrades managed by subjects when using their own device (Bring-your-own-device – BYOD) to collect eCOA data on ongoing eCOA data completion rates, based on device usage data collected in a large ongoing clinical trial. eCOA completion compliance and access-log data were explored to understand the impact of operating system upgrades on eCOA app use and diary completion, for subjects participating in a large ongoing clinical trial (n=10,000+, ages 50 to 85+, 20+ countries). The clinical trial collected eCOA data using a BYOD app solution, with provisioned handsets for subjects unable/unwilling to use BYOD. eCOA compliance was 83.0% (BYOD: 85%, Provisioned: 82%). BYOD was used by 2,500+ patients in the study, 48% and 52% of using the iOS and Android apps respectively. During the active phase of the study, 49% of subjects completed one or more operating system upgrades. Some subjects using iOS devices completed up to 14 minor/major operating system upgrades during the study. The eCOA compliance rate amongst subjects completing operating system upgrades was 86% compared to 83% for BYOD subjects not completing operating system upgrades on their handsets. The current study appears to show that operating system upgrades have no effect on eCOA completion compliance when using BYOD. While the lack of control over operating system upgrades has been suggested to be a potential barrier to BYOD use and eCOA app compatibility, the performance data form this study suggests that this aspect is unlikely to limit the application of BYOD in future clinical trials.

The Effects of Psychological Contract Violation on OS User’s Betrayal Behaviors: Window XP Technical Support Ending Case

The Effects of Psychological Contract Violation on OS User’s Betrayal Behaviors: Window XP Technical Support Ending Case

Monitoring applications: An immune inspired algorithm for software-fault detection

Large-scale software systems are in general difficult to manage and monitor. In many cases, these systems display unexpected behavior, especially after being updated or when changes occur in their environment (operating system upgrades or hardware migrations, to name a few). Therefore, to handle a changing environment, it is desirable to base fault detection and performance monitoring on self-adaptive techniques.Several studies have been carried out in the past which, inspired on the immune system, aim at solving complex technological problems. Among them, anomaly detection, pattern recognition, system security and data mining are problems that have been addressed in this framework.There are similarities between the software fault detection problem and the identification of the pathogens that are found in natural immune systems. Being inspired by vaccination and negative and clonal selection observed in these systems, we developed an effective self-adaptive model to monitor software applications analyzing the metrics of system resources.