Dependability Assessment of the Android OS Through Fault Injection

Cotroneo, Domenico; Iannillo, Antonio Ken; Natella, Roberto; Rosiello, Stefano

doi:10.1109/tr.2019.2954384

Cited by 11 publications

(6 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As in our previous studies [10], [62], we adopt fault injection to emulate faults and to measure the recovery times, in order to estimate representative model parameters. To assure the occurrence of failures, we emulate faults through the injection of their effects, which is also referred to as error or failure injection in some studies [63], [64].…”

Section: The Cims Testbedmentioning

confidence: 99%

A Latency-Driven Availability Assessment for Multi-Tenant Service Chains

Simone¹,

Mauro

Natella

et al. 2023

IEEE Trans. Serv. Comput.

Self Cite

View full text Add to dashboard Cite

Nowadays, most telecommunication services adhere to the Service Function Chain (SFC) paradigm, where network functions are implemented via software. In particular, container virtualization is becoming a popular approach to deploy network functions and to enable resource slicing among several tenants. The resulting infrastructure is a complex system composed by a huge amount of containers implementing different SFC functionalities, along with different tenants sharing the same chain. The complexity of such a scenario lead us to evaluate two critical metrics: the steady-state availability (the probability that a system is functioning in long runs) and the latency (the time between a service request and the pertinent response). Consequently, we propose a latency-driven availability assessment for multi-tenant service chains implemented via Containerized Network Functions (CNFs). We adopt a multi-state system to model single CNFs and the queueing formalism to characterize the service latency. To efficiently compute the availability, we develop a modified version of the Multidimensional Universal Generating Function (MUGF) technique. Finally, we solve an optimization problem to minimize the SFC cost under an availability constraint. As a relevant example of SFC, we consider a containerized version of IP Multimedia Subsystem, whose parameters have been estimated through fault injection techniques and load tests.

show abstract

Section: The Cims Testbedmentioning

confidence: 99%

A Latency-Driven Availability Assessment for Multi-Tenant Service Chains

Simone¹,

Mauro

Natella

et al. 2023

IEEE Trans. Serv. Comput.

Self Cite

View full text Add to dashboard Cite

show abstract

“…• E3. Papers that investigate reliability focusing solely on lower levels of the Android operating system (OS) (e.g., [52]), processor architecture [53], or communication infrastructure (e.g., mobile cloud computing solutions [54]). Such investigations require specific focus on other specialized areas such as special hardware constraints (e.g., Linux kernel, memory drivers) and runtime virtual environments which are distinct from our research focus.…”

Section: Selection Criteriamentioning

confidence: 99%

A systematic mapping study addressing the reliability of mobile applications: The need to move beyond testing reliability

Wimalasooriya

Licorish

Costa

et al. 2022

Journal of Systems and Software

View full text Add to dashboard Cite

“…A recent trend regarding operating systems robustness evaluation approaches is set on mobile operating systems [40], [41] and wearable applications. Cotroneo et al [40] propose a tool, named AndroFIT, for the evaluation of dependability properties of the Android operating system. The tool relies on the injection of faults on Inter Process Communication (IPC) messages, library, and system calls.…”

Section: Related Workmentioning

confidence: 99%

A Black Box Tool for Robustness Testing of REST Services

2021

View full text Add to dashboard Cite

REST services are nowadays being used to support many businesses, with most major companies exposing their services via REST interfaces (e.g., Google, Amazon, Instagram, and Slack). In this type of scenarios, heterogeneity is prevalent and software is sometimes exposed to unexpected conditions that may activate residual bugs, leading service operations to fail. Such failures may lead to financial or reputation losses (e.g., information disclosure). Although techniques and tools for assessing robustness have been thoroughly studied and applied to a large diversity of domains, REST services still lack practical approaches that specialize in robustness evaluation. In this paper, we present a tool (named bBOXRT) for performing robustness tests over REST services, solely based on minimal information expressed in their interface descriptions. We used bBOXRT to evaluate an heterogeneous set of 52 REST services that comprise 1,351 operations and fit in distinct categories (e.g., public, private, in-house). We were able to disclose several different types of robustness problems, including issues in services with strong reliability requirements and also a few security vulnerabilities. The results show that REST services are being deployed preserving software defects that harm service integration, and also carrying security vulnerabilities that can be exploited by malicious users.

show abstract

Dependability Assessment of the Android OS Through Fault Injection

Cited by 11 publications

References 44 publications

A Latency-Driven Availability Assessment for Multi-Tenant Service Chains

A Latency-Driven Availability Assessment for Multi-Tenant Service Chains

A systematic mapping study addressing the reliability of mobile applications: The need to move beyond testing reliability

A Black Box Tool for Robustness Testing of REST Services

Contact Info

Product

Resources

About