Vigne: Towards a Self-healing Grid Operating System

Rilling, Louis

doi:10.1007/11823285_45

Cited by 16 publications

(21 citation statements)

References 12 publications

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“…Vigne, which is described in detail in [10], is a middleware, whose goal is to ease the use of computing resources in a Grid for executing distributed applications. It is a complex project, capable of offering high levels of fault tolerance, as shown also by the experimental results.…”

Section: Vignementioning

confidence: 99%

“…This work focuses on Grid Environments and was designed as a module for the Vigne [10] middleware.This system provides the Grid nodes with the ability to receive reliable information about the past failures in the Grid System, as well as to determine the current status of a node. There are a number of challenges to the design of a such a storage system, mostly related to scalability and accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Using a Failure History Service for Reliable Grid Node Information

Leordeanu

Cristea

Ropars

et al. 2010

2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing

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The need for reliability in Grid Systems is a difficult challenge which is very important in the context of highly dynamic systems composed of thousands of nodes. Failure management is a key component in the attempt to provide such a reliable environment. The proposed approach is based on the existence of accurate failure information about the nodes in the Grid which is very difficult in large scale systems. This paper proposes a failure history service used to share failure information which is critical to the management of resources in large scale distributed systems, thus improving the overall reliability. This novel service ensures that the information about the current state of a node, as well as its failure history, is as accurate as possible even when facing a large number of node failures. This solution aims to increase the reliability of Grid systems by providing accurate data which can be used to analyze failures over time.

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Section: Vignementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using a Failure History Service for Reliable Grid Node Information

Leordeanu

Cristea

Ropars

et al. 2010

2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing

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“…Vigne architecture is shown in Figure 1. By using structured and unstructured overlays as a bottom layer in the system, several services can be built on top of it with unique properties like scalability and self-healing [14]. This is the case for instance for the communication service or the information service.…”

Section: Vigne Overviewmentioning

confidence: 99%

“…resulting in Grid middleware such as Globus [6], XtremWeb [4] or Vishwa [15]. We have developed Vigne, a Grid middleware targeting large scale Grids composed of several thousands of dynamic nodes widely distributed [10,11,14].…”

Section: Introductionmentioning

confidence: 99%

RW-OGS: An optimized randomwalk protocol for resource discovery in large scale dynamic Grids

Jeanvoine

Morin

2008

2008 9th IEEE/ACM International Conference on Grid Computing

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“…Moving to a software based approach poses serious questions regarding accountability in these situations -currently associated with human administrators -and liability. Both of these topics are outside of the scope of this paper, but the preference in supervised management approaches lends evidence to the importance of these criteria [4,17,19,25,31,35]. It is possible that greater accuracy in heuristic approaches can alleviate these issues, however this is an area that is still to be explored.…”

Section: Introductionmentioning

confidence: 97%

Evaluating Unsupervised Fault Detection in Self-Healing Systems Using Stochastic Primitives

Schneider

Barker

Dobson

2015

EAI Endorsed Transactions on Self-Adaptive Systems

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Autonomous fault detection represents one approach for reducing operational costs in large-scale computing environments. However, little empirical evidence exists regarding the implementation or comparison of such methodologies, or offers proof that such approaches reduce costs. This paper compares the effectiveness of several types of stochastic primitives using unsupervised learning to heuristically determine the root causes of faults. The results suggest that self-healing systems frameworks leveraging these techniques can reliably and autonomously determine the source of an anomaly within as little as five minutes. This finding lays the foundation for determining the potential these approaches have for reducing operational costs and ultimately concludes with new avenues for exploring anomaly prediction.

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Vigne: Towards a Self-healing Grid Operating System

Cited by 16 publications

References 12 publications

Using a Failure History Service for Reliable Grid Node Information

Using a Failure History Service for Reliable Grid Node Information

RW-OGS: An optimized randomwalk protocol for resource discovery in large scale dynamic Grids

Evaluating Unsupervised Fault Detection in Self-Healing Systems Using Stochastic Primitives

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