A Framework for Self-Healing Device Drivers

Ishikawa, H.; Courbot, Alexandre; Nakajima, Tatsuo

doi:10.1109/saso.2008.43

Cited by 9 publications

(4 citation statements)

References 10 publications

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“…Therefore, we only have data for 78% of the investigated papers. A large proportion of the reviewed papers, 16 studies (44%), employ single deterministic traces to steer the failure injection in the simulated experiments [17,[29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]. In these studies the characteristics of the failure occurrences such as FGS and IAT are not determined by a probability distribution but determined for each occurrence explicitly as scalar values (see Section 2.2).…”

Section: Rq2mentioning

confidence: 99%

Evaluation of Self-Healing Systems: An Analysis of the State-of-the-Art and Required Improvements

Ghahremani

Giese

2020

Computers

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Evaluating the performance of self-adaptive systems is challenging due to their interactions with often highly dynamic environments. In the specific case of self-healing systems, the performance evaluations of self-healing approaches and their parameter tuning rely on the considered characteristics of failure occurrences and the resulting interactions with the self-healing actions. In this paper, we first study the state-of-the-art for evaluating the performances of self-healing systems by means of a systematic literature review. We provide a classification of different input types for such systems and analyse the limitations of each input type. A main finding is that the employed inputs are often not sophisticated regarding the considered characteristics for failure occurrences. To further study the impact of the identified limitations, we present experiments demonstrating that wrong assumptions regarding the characteristics of the failure occurrences can result in large performance prediction errors, disadvantageous design-time decisions concerning the selection of alternative self-healing approaches, and disadvantageous deployment-time decisions concerning parameter tuning. Furthermore, the experiments indicate that employing multiple alternative input characteristics can help with reducing the risk of premature disadvantageous design-time decisions.

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Section: Rq2mentioning

confidence: 99%

Evaluation of Self-Healing Systems: An Analysis of the State-of-the-Art and Required Improvements

Ghahremani

Giese

2020

Computers

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Section: Monitoring Service and Recovery Issuesmentioning

confidence: 99%

Temporal and spatial isolation in a virtualization layer for multi-core processor based information appliances

Nakajima¹,

Kinebuchi²,

Shimada³

et al. 2011

16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011)

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A virtualization layer makes it possible to compose multiple functionalities on a multi-core processor with minimum modifications of OS kernels and applications. A multi-core processor is a good candidate to compose various software independently developed for dedicated processors into one multi-core processor to reduce both the hardware and development cost. In this paper, we present SPUMONE, which is a virtualization layer suitable for developing multi-core processor based-information appliances. I IntroductionMulti-core processors are being increasingly adopted for embedded systems because they improve performance, power consumption and lower development cost. Composing multiple operating systems on a multi-core processor enhances the reusability of software when developing rich functional information appliances. Multiple OS environments enable the product to use two versions of an operating system at the same time. In order to build multiple OS environments, a virtualization layer specialized for embedded systems is necessary 1 , since most of processors for embedded systems support only two protection levels, and there is no hardware support for virtualization. In traditional approaches, an OS kernel runs at the user level to isolate the respective OS kernels to increase reliability, but this approach requires heavy modifications to the guest OSes if there is no proper hardware virtualization support that rarely exists in embedded systems. Therefore existing virtualization solutions are not preferred by the embedded system industry.In [1], Armand and Gien present several requirements for a virtualization layer to be suitable for embedded systems:i.It should run an existing operating system and its supported applications in a virtualized environment, such that modifications required to the operating system are minimized (ideally none), and performance overhead is as low as possible. ii. It should be straightforward to move from one version of an operating system to another one; this is especially important to keep up with frequent Linux evolutions. iii. It should reuse native device drivers from their existing execution environments with no modification. iv. It should support existing legacy often real-time 1 Our virtualization layer can used for various embedded systems, but our current main focus is information appliances.operating systems and their applications while guaranteeing their deterministic real-time behavior.Our project is developing SPUMONE, which is a virtualization layer for multi-core processor-based embedded systems. SPUMONE assumes to use an SMP(Symmetric Multiprocessing)-based multi-core processor, and each core has a core-local memory. Thus, it is easy to share code and data from all cores, but each core can keep some code and data secretly in a core-local memory. SPUMONE uses the characteristics to implement the spatial isolation. SPUMONE satisfies the above requirements, and currently focuses on achieving the following four goals.i.Mapping of virtual cores on physical cores dynamically ...

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“…Toppers and its applications can be simply rebooted when some anomalies are detected. The rebooting time can be improved by storing some important states in a persistent memory by using a similar techniques presented in [5]. Usually, most applications on Toppers contain a small amount of states, and rebooting the applications and Toppers is very fast.…”

Section: Security and Reliabilitymentioning

confidence: 99%

Composition Kernel: A Multi-core Processor Virtualization Layer for Rich Functional Smart Products

Nakajima

Kinebuchi

Courbot

et al. 2010

Software Technologies for Embedded and Ubiquitous Systems

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Future ambient intelligence environments will embed powerful multi-core processors to compose various functionalities into a smaller number of hardware components. This makes the maintainability of intelligent environments better because it is not easy to manage massively distributed processors. A composition kernel makes it possible to compose multiple functionalities on a multi-core processor with the minimum modification of OS kernels and applications. A multi-core processor is a good candidate to compose various software developed independently for dedicated processors into one multi-core processor to reduce both the hardware and development cost. In this paper, we present SPUMONE which is a composition kernel for developing future smart products.

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A Framework for Self-Healing Device Drivers

Cited by 9 publications

References 10 publications

Evaluation of Self-Healing Systems: An Analysis of the State-of-the-Art and Required Improvements

Evaluation of Self-Healing Systems: An Analysis of the State-of-the-Art and Required Improvements

Temporal and spatial isolation in a virtualization layer for multi-core processor based information appliances

Composition Kernel: A Multi-core Processor Virtualization Layer for Rich Functional Smart Products

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