A Survivability Information System Based on Service Self-Organization

Zhang, Yongshi; Zhang, Jianpei; Zhang, Lejun; Li, Mo; Yang, Jing; Guo, Lin

doi:10.1109/icicse.2010.21

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…[22]). Redundancy has long been a common approach to achieving resilience, and with the proliferation of complex, decentralised and dynamic computing systems, researchers have increasingly looked to self-organisation to provide such redundancy [26].…”

Section: Related Workmentioning

confidence: 99%

Self-Organising Zooms for Decentralised Redundancy Management in Visual Sensor Networks

Esterle

Rinner

Lewis

2015

2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems

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Abstract-When visual sensor networks are composed of cameras which can adjust the zoom factor of their own lens, one must determine the optimal zoom levels for the cameras, for a given task. This gives rise to an important trade-off between the overlap of the different cameras' fields of view, providing redundancy, and image quality. In an object tracking task, having multiple cameras observe the same area allows for quicker recovery, when a camera fails. In contrast having narrow zooms allow for a higher pixel count on regions of interest, leading to increased tracking confidence. In this paper we propose an approach for the self-organisation of redundancy in a distributed visual sensor network, based on decentralised multi-objective online learning using only local information to approximate the global state. We explore the impact of different zoom levels on these trade-offs, when tasking omnidirectional cameras, having perfect 360-degree view, with keeping track of a varying number of moving objects. We further show how employing decentralised reinforcement learning enables zoom configurations to be achieved dynamically at runtime according to an operator's preference for maximising either the proportion of objects tracked, confidence associated with tracking, or redundancy in expectation of camera failure. We show that explicitly taking account of the level of overlap, even based only on local knowledge, improves resilience when cameras fail. Our results illustrate the trade-off between maintaining high confidence and object coverage, and maintaining redundancy, in anticipation of future failure. Our approach provides a fully tunable decentralised method for the self-organisation of redundancy in a changing environment, according to an operator's preferences.

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Section: Related Workmentioning

confidence: 99%

Self-Organising Zooms for Decentralised Redundancy Management in Visual Sensor Networks

Esterle

Rinner

Lewis

2015

2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems

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A Survivable Distributed Database Against Byzantine Failure

Aborisade¹,

Sodiya²,

Odumosu³

et al. 2017

JNSET

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Distributed Database Systems have been very useful technologies in making a wide range of information available to users across the World. However, there are now growing security concerns, arising from the use of distributed systems, particularly the ones attached to critical systems. More than ever before, data in distributed databases are more susceptible to attacks, failures or accidents owing to advanced knowledge explosions in network and database technologies. The imperfection of the existing security mechanisms coupled with the heightened and growing concerns for intrusion, attack, compromise or even failure owing to Byzantine failure are also contributing factors. The importance of survivable distributed databases in the face of byzantine failure, to other emerging technologies is the motivation for this research. Furthermore, It has been observed that most of the existing works on distributed database only dwelled on maintaining data integrity and availability in the face of attack. There exist few on availability or survibability of distributed databases owing to internal factors such as internal sabotage or storage defects. In this paper, an architecture for entrenching survivability of Distributed Databases occasioned by Byzantine failures is proposed. The proposed architecture concept is based on re-creating data on failing database server based on a set threshold value.The proposed architecture is tested and found to be capable of improving probability of survivability in distributed database where it is implemented to 99.6% from 99.2%.

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A Survivability Information System Based on Service Self-Organization

Cited by 2 publications

References 7 publications

Self-Organising Zooms for Decentralised Redundancy Management in Visual Sensor Networks

Self-Organising Zooms for Decentralised Redundancy Management in Visual Sensor Networks

A Survivable Distributed Database Against Byzantine Failure

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