Software Fault Injection Campaign Generation for Cloud Infrastructures

Feinbube, Lena; Pirl, Lukas; Tröger, Peter; Polze, Andreas

doi:10.1109/qrs-c.2017.119

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…It updates the cloudlet execution and status according to the fault event types. The main purpose of this module finds out the boundary of application [13,35].…”

Section: Fault Injection and Coverage Analysismentioning

confidence: 99%

Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

Rahman

Rouf

2021

Lecture Notes on Data Engineering and Communications Technologies

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Application of cloud computing is increasing gradually. It is a useful model for a collection of configurable computing resources such as data-centers, servers, data storage and application services in real-time. Due to the emergence of cloud computing, providing reliable service becomes vital issue. Transient faults may affect temporary unavailability of services and timeout to get response. These types of faults can be catastrophic in cloud applications such as, scientific research, financial and safety critical applications. To reduce the effect of such errors, a fault tolerant mechanism is required. We propose an aggressive fault tolerant (AFT) technique to detect and recover from faults in cloud environment. Aggressive fault detection and recovery module detects faults and recovers from these faults using a smart decision agent. A smart decision agent takes decision on different types of hardware, software and communication faults. It reduces complexity and improves performance of fault tolerant schemes compared with other existing techniques such as checkpointing, resubmission and replication techniques. The proposed scheme achieves 98.7% error coverage while it is 1.5 times faster than checkpointing, 2.0 times faster than resubmission and 2.5 times faster than replication technique.

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“…It updates the cloudlet execution and status according to the fault event types. The main purpose of this module finds out the boundary of application [13,35].…”

Section: Fault Injection and Coverage Analysismentioning

confidence: 99%

Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

Rahman

Rouf

2021

Lecture Notes on Data Engineering and Communications Technologies

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“…The algorithm for applying this criterion is discussed in more detail in Ref. [12]. Maximal experiments may expose unforeseen synergistic effects.…”

Section: Generation Of Sfi Campaignsmentioning

confidence: 99%

Software Fault Injection: A Practical Perspective

Feinbube¹,

Pirl²,

Polze³

2018

Dependability Engineering

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Software fault injection (SFI) is an acknowledged method for assessing the dependability of software systems. After reviewing the state-of-the-art of SFI, we address the challenge of integrating it deeper into software development practice. We present a well-defined development methodology incorporating SFI-fault injection driven development (FIDD)-which begins by systematically constructing a dependability and failure cause model, from which relevant injection techniques, points, and campaigns are derived. We discuss possibilities and challenges for the end-to-end automation of such campaigns. The suggested approach can substantially improve the accessibility of dependability assessment in everyday software engineering practice.

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“…After reviewing the state of the art of SFI, Chapter 3 addresses the challenge of integrating it deeper into software development practice. It is presented with a well-defined development methodology incorporating SFI (fault injection driven development, FIDD), which begins by systematically constructing a dependability and failure cause model [5], from which relevant injection techniques, points, and campaigns are derived [6]. The possibilities and challenges are analyzed for the end-to-end automation of such campaigns.…”

Section: Introductionmentioning

confidence: 99%