Staged deployment in mirage, an integrated software upgrade testing and distribution system

Crameri, Olivier; Knezevic, N.; Kostić, Dejan; Bianchini, Ricardo; Zwaenepoel, Willy

doi:10.1145/1294261.1294283

Cited by 48 publications

(18 citation statements)

References 16 publications

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“…In particular, although extant studies on decision making about IS upgrades have addressed efficient decision-making systems, such as the cost of IS upgrades, the time required, and the timing of appropriate decisions, the limitations of those studies are the factors that can be influenced by the business environment, such as external vendor support, jobs, and positions [12,16]. In addition, the most relevant studies on successful IS upgrades and decision models have targeted users and experts [16,[18][19][20], disregarding managers. Therefore, a wider scope of targets is needed in order to study efficiently decision-making models.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Interrelations of Decision-Making Factors of Information System (IS) Upgrades for Sustainable Business Using Interpretive Structural Modeling and MICMAC Analysis

Kim

Lee

2018

Sustainability

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An information system (IS) upgrade is an essential way to enhance the competitiveness of an organization. Specifically, the decision making processes surrounding IS upgrades is one of the most important parts of an organization's competitiveness in regard to business sustainability. Previous research studies on IS upgrade decisions have focused on implementing a more efficient decision-making system by determining when IS upgrades should be performed based on the cost factor, from the perspective of both users and experts. However, if the decision making of an IS upgrade is delayed or not performed accurately due to the limitations of a specific business environment, such as a job, position, or cost, an organization can lose its business competitiveness. In this context, the present study determines the main factors involved in decision making processes surrounding IS upgrades, and analyzes the interrelations among these factors in an organization with regard to users, managers, and experts. The interpretive structural modeling (ISM) method is used as an analytical tool to analyze the characteristics and interrelations of factors based on a real system model called the User-Centered Training System (UCTS). Based on the results, the present study provides a deeper insight into decision-making factors and directional models, and allows for a more efficient management of the decision-making problem of an IS upgrade caused by differences in the business environment between each layer (i.e., users, managers, and experts). Specifically, according to our results, users are more likely to think about the positive effects and benefits they could have on their work, rather than about organizational benefits. By contrast, managers reason that IS upgrades should have a positive impact on the overall organizational goals and benefits. Finally, experts think that an IS upgrade should benefit both the organization and users. Taken together, the results of the present study are meaningful in that they clearly show the interrelationships between the decision-making factors on each of the levels.

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Section: Introductionmentioning

confidence: 99%

A Study on the Interrelations of Decision-Making Factors of Information System (IS) Upgrades for Sustainable Business Using Interpretive Structural Modeling and MICMAC Analysis

Kim

Lee

2018

Sustainability

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“…The first two checks occur in png_get_uint_31 (line 37), which checks that the PNG height and width values are less than 0x7fffffffL. The third and fourth sanity checks occur in png_check_IHDR (lines [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36], which check that the PNG height and width values are less than one million. The fifth and final sanity check occurs at line 72, immediately before the target memory allocation site at line 87.…”

Section: Target Expression Extractionmentioning

confidence: 99%

“…In addition to transferring checks between independently developed applications, we have also used CP to transfer checks between different versions of the same application. The motivation is to automatically obtain a targeted update that eliminates an error in an older version without the disruption often associated with full upgrade [31].…”

Section: Multiversion Code Transfermentioning

confidence: 99%

Cloud Intrusion Detection and Repair (CIDAR)

Sidiroglou¹,

Perkins²,

Rinard³

2016

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Despite decades of effort, defect triage and correction remains a central concern in software engineering. Indeed, modern software projects contain so many defects, and the cost of correcting defects remains so large, that projects typically ship with a long list of known but uncorrected defects. Consequences of this unfortunate situation include pervasive security vulnerabilities and the diversion of resources that would be better devoted to other, more productive, activities. The goal of this research is to automate the process of discovering, neutralizing and repairing software bugs and vulnerabilities. As part of this goal, we build components of a continuous automatic improvement system that can automatically search for errors and generate patches that repair the encountered errors. By removing the human from the loop, patch generation time can be reduced, patch robustness improved, leading to fewer unpatched systems. The systems that we developed during this program lay the foundation for future automatic program repair systems that can significantly reducing the time and effort required to deal with software defects. 15. SUBJECT TERMS software protection, automatic program repair, software bug finding, automatic input rectification 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT: SAR 8. NUMBER OF PAGES 118 19a. NAME OF RESPONSIBLE PERSON (Monitor) a. REPORT

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“…Deviations from the profiles can help detect, localise, and identify faults. In [3], it has been argued that some problems with software upgrades are caused by a poor integration between deployment, testing, and problem reporting. This argument results in a framework integrating testing and problem reporting into deployment cycle of software upgrades.…”

Section: Related Workmentioning

confidence: 99%

“…Facebook integrates software modifications a few times per day [2]. The statistical data in [3], [4] expose the vulnerability of software upgrades. Once an upgrade fails, the aftermath may be serious, as in the losses of NSA [5].…”

Section: Introductionmentioning

confidence: 99%

Quantifying Failure Risk of Version Switch for Rolling Upgrade on Clouds

Sun

Bass

Fekete

et al. 2014

2014 IEEE Fourth International Conference on Big Data and Cloud Computing

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Rolling upgrade is an industry technique for online dynamic software update. A rolling upgrade updates a small number of instances in an old version to a new version at a time and the operation is repeated in a wave rolling until all of the instances have been upgraded. In many cases, the software needs to avoid interactions between different versions. One common simple approach is to make instances version aware, and then a version switch point can be chosen to deactivate the old service and activate the new service. On a Cloud platform, upgrades can be implemented simply through replacing old virtual machine instances with ones in new versions, and during the process of rolling upgrade various failures may present. If an instance fails, a new instance has to be launched from the backup images, which in most software systems are in an old version and cannot be simply replaced to a new version if the new software and the new service have not been stable for the sake of reliability and stability. Thus the progress of the rolling upgrade is not guaranteed, and indeed the number of upgraded instances can sometimes decrease. We aim to determine the probability that, after switching the versions at a selected point, the number of working instances may sometime fall below the amount needed for a desired Quality of Service. In this paper, we stochastically quantify the risk with a family of discrete Markov chains (DTMC). The evaluation in both Amazon Web Service (AWS) and simulation reveals that our technique can well predict the risks after given version switch points.

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Staged deployment in mirage, an integrated software upgrade testing and distribution system

Cited by 48 publications

References 16 publications

A Study on the Interrelations of Decision-Making Factors of Information System (IS) Upgrades for Sustainable Business Using Interpretive Structural Modeling and MICMAC Analysis

A Study on the Interrelations of Decision-Making Factors of Information System (IS) Upgrades for Sustainable Business Using Interpretive Structural Modeling and MICMAC Analysis

Cloud Intrusion Detection and Repair (CIDAR)

Quantifying Failure Risk of Version Switch for Rolling Upgrade on Clouds

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