Resiliency

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Domenico Siracusa - One of the best experts on this subject based on the ideXlab platform.

  • Softwarized 5G Networks Resiliency with Self-Healing Softwarized 5G Networks Resiliency with Self- Healing
    Proceedings of the 1st International Conference on 5G for Ubiquitous Connectivity, 2014
    Co-Authors: Imen Grida, Imen Grida Ben Yahia, José Manuel Sanchez Vilchez, Ben Yahia, Noel Crespi, Tinku Rasheed, Domenico Siracusa
    Abstract:

    The meaning of 5G is still a subject of discussion in the industry. However, the softwarization of networks is expected to shape the design, operation and management of 5G networks. The opportunity is then crucial for Telcos, vendors and IT players to consider the management of 5G networks during its design time and avoid the build it first, manage it later paradigm. However, network softwarization comes with its own set of challenges, including robustness, scalability and resilience. In this paper, we focus on the importance of Resiliency and propose a Self-Healing based framework for 5G networks to ensure services and resources availability.

  • Softwarized 5G Networks Resiliency with Self ­Healing
    5G FOR UBIQUITOUS CONNECTIVITY, 2014
    Co-Authors: Jose Sanchezl, Imen Grida, Ben Yahia, Noel Crespi, Tinku Rasheed, Domenico Siracusa, Orange Labs
    Abstract:

    The meaning of 5G is still a subject of discussion in the industry. However, the softwarization of networks is expected to shape the design, operation and management of 5G networks. The opportunity is then crucial for Telcos, vendors and IT players to consider the management of 5G networks during its design time and avoid the “build it first, manage it later” paradigm. However, network softwarization comes with its own set of challenges, including robustness, scalability and resilience. In this paper, we analyze the vulnerabilities of SDN (Software-Defined Networks) and NFV (Network Function Virtualization) from a fault management perspective, while taking into account the autonomic principles. In particular, we focus on Resiliency and we propose a Self-Healing based framework for 5G networks to ensure services and resources availability.

Roza Ranjbar - One of the best experts on this subject based on the ideXlab platform.

  • Asset-Based Assessment of Resiliency in Water Distribution Networks
    Water Resources Management, 2020
    Co-Authors: Ardalan Izadi, Farhad Yazdandoost, Roza Ranjbar
    Abstract:

    This paper proposes an Asset-Based methodology to measure the resilience of Water Distribution Networks (WDNs). In the proposed approach, based on impacts of failure of every single asset on the performance of the system, specific degree of criticality in the estimation of a WDN Resiliency can be evaluated. This criticality may be extended into three Resiliency dimensions; technical, economic and social. Five indexes namely; Hydraulic Critically Index, Regret Cost (revenue losses associated with water sales), Graduality (speed of outage progression from a failure), Recovery Rate (rate of system performance recovery to a normal state) and Water Outage Time (unsatisfactory duration of system performance) are introduced here to address these Resiliency dimensions. Several MATLAB suit codes are written and incorporated into the EPANET software to assess the proposed indexes for a real case study suffering from high rate of pipe failure. The results show that an asset usually has common behaviour in both of technical and economic Resiliency aspects. Furthermore, system performance in case of a failure can decrease faster than the rate of recovering to a normal state. In addition, the new indexes can confidently assess the weak points, strength points and finally the asset’s role in the system’s Resiliency while quantifying internal technical capacities. In brief, addressing resilience assessment within the proposed approach can help in targeting high-priority maintenance needs of WDNs and mobilize minimizing the consequences of each failure event.

Jun Zhao - One of the best experts on this subject based on the ideXlab platform.

  • on resilience and connectivity of secure wireless sensor networks under node capture attacks
    IEEE Transactions on Information Forensics and Security, 2017
    Co-Authors: Jun Zhao
    Abstract:

    Despite much research on probabilistic key predistribution schemes for wireless sensor networks over the past decade, few formal analyses exist that define schemes’ resilience to node-capture attacks precisely and under realistic conditions. In this paper, we analyze the resilience of the $q$ -composite key predistribution scheme, which mitigates the node capture vulnerability of the Eschenauer-Gligor scheme in the neighbor discovery phase. We derive scheme parameters to have a desired level of Resiliency, and obtain optimal parameters that defend against different adversaries as much as possible. We also show that this scheme can be easily enhanced to achieve the same “perfect resilience” property as in the random pairwise key predistribution for attacks launched after neighbor discovery. Despite considerable attention to this scheme, much prior work explicitly or implicitly uses an incorrect computation for the probability of link compromise under node-capture attacks and ignores the real-world transmission constraints of sensor nodes. Moreover, we derive the critical network parameters to ensure connectivity in both the absence and presence of node-capture attacks. We also investigate node replication attacks by analyzing the adversary’s optimal strategy.

Imen Grida - One of the best experts on this subject based on the ideXlab platform.

  • Softwarized 5G Networks Resiliency with Self-Healing Softwarized 5G Networks Resiliency with Self- Healing
    Proceedings of the 1st International Conference on 5G for Ubiquitous Connectivity, 2014
    Co-Authors: Imen Grida, Imen Grida Ben Yahia, José Manuel Sanchez Vilchez, Ben Yahia, Noel Crespi, Tinku Rasheed, Domenico Siracusa
    Abstract:

    The meaning of 5G is still a subject of discussion in the industry. However, the softwarization of networks is expected to shape the design, operation and management of 5G networks. The opportunity is then crucial for Telcos, vendors and IT players to consider the management of 5G networks during its design time and avoid the build it first, manage it later paradigm. However, network softwarization comes with its own set of challenges, including robustness, scalability and resilience. In this paper, we focus on the importance of Resiliency and propose a Self-Healing based framework for 5G networks to ensure services and resources availability.

  • Softwarized 5G Networks Resiliency with Self ­Healing
    5G FOR UBIQUITOUS CONNECTIVITY, 2014
    Co-Authors: Jose Sanchezl, Imen Grida, Ben Yahia, Noel Crespi, Tinku Rasheed, Domenico Siracusa, Orange Labs
    Abstract:

    The meaning of 5G is still a subject of discussion in the industry. However, the softwarization of networks is expected to shape the design, operation and management of 5G networks. The opportunity is then crucial for Telcos, vendors and IT players to consider the management of 5G networks during its design time and avoid the “build it first, manage it later” paradigm. However, network softwarization comes with its own set of challenges, including robustness, scalability and resilience. In this paper, we analyze the vulnerabilities of SDN (Software-Defined Networks) and NFV (Network Function Virtualization) from a fault management perspective, while taking into account the autonomic principles. In particular, we focus on Resiliency and we propose a Self-Healing based framework for 5G networks to ensure services and resources availability.

Marcos A. Lana - One of the best experts on this subject based on the ideXlab platform.

  • Agroecology and the design of climate change-resilient farming systems
    Agronomy for Sustainable Development, 2015
    Co-Authors: Miguel A. Altieri, Clara I. Nicholls, Alejandro Henao, Marcos A. Lana
    Abstract:

    Diverse, severe, and location-specific impacts on agricultural production are anticipated with climate change. The last IPCC report indicates that the rise of CO_2 and associated “greenhouse” gases could lead to a 1.4 to 5.8 °C increase in global surface temperatures, with subsequent consequences on precipitation frequency and amounts. Temperature and water availability remain key factors in determining crop growth and productivity; predicted changes in these factors will lead to reduced crop yields. Climate-induced changes in insect pest, pathogen and weed population dynamics and invasiveness could compound such effects. Undoubtedly, climate- and weather-induced instability will affect levels of and access to food supply, altering social and economic stability and regional competiveness. Adaptation is considered a key factor that will shape the future severity of climate change impacts on food production. Changes that will not radically modify the monoculture nature of dominant agroecosystems may moderate negative impacts temporarily. The biggest and most durable benefits will likely result from more radical agroecological measures that will strengthen the resilience of farmers and rural communities, such as diversification of agroecosytems in the form of polycultures, agroforestry systems, and crop-livestock mixed systems accompanied by organic soil management, water conservation and harvesting, and general enhancement of agrobiodiversity. Traditional farming systems are repositories of a wealth of principles and measures that can help modern agricultural systems become more resilient to climatic extremes. Many of these agroecological strategies that reduce vulnerabilities to climate variability include crop diversification, maintaining local genetic diversity, animal integration, soil organic management, water conservation and harvesting, etc. Understanding the agroecological features that underlie the resilience of traditional agroecosystems is an urgent matter, as they can serve as the foundation for the design of adapted agricultural systems. Observations of agricultural performance after extreme climatic events (hurricanes and droughts) in the last two decades have revealed that Resiliency to climate disasters is closely linked to farms with increased levels of biodiversity. Field surveys and results reported in the literature suggest that agroecosystems are more resilient when inserted in a complex landscape matrix, featuring adapted local germplasm deployed in diversified cropping systems managed with organic matter rich soils and water conservation-harvesting techniques. The identification of systems that have withstood climatic events recently or in the past and understanding the agroecological features of such systems that allowed them to resist and/or recover from extreme events is of increased urgency, as the derived Resiliency principles and practices that underlie successful farms can be disseminated to thousands of farmers via Campesino a Campesino networks to scale up agroecological practices that enhance the Resiliency of agroecosystems. The effective diffusion of agroecological technologies will largely determine how well and how fast farmers adapt to climate change.

  • Agroecology and the design of climate change-resilient farming systems
    Agronomy for Sustainable Development, 2015
    Co-Authors: Clara I. Nicholls, Alejandro Henao, Marcos A. Lana
    Abstract:

    © 2015, INRA and Springer-Verlag France. Diverse, severe, and location-specific impacts on agricultural production are anticipated with climate change. The last IPCC report indicates that the rise of CO < inf > 2 < /inf > and associated “greenhouse” gases could lead to a 1.4 to 5.8 °C increase in global surface temperatures, with subsequent consequences on precipitation frequency and amounts. Temperature and water availability remain key factors in determining crop growth and productivity; predicted changes in these factors will lead to reduced crop yields. Climate-induced changes in insect pest, pathogen and weed population dynamics and invasiveness could compound such effects. Undoubtedly, climate- and weather-induced instability will affect levels of and access to food supply, altering social and economic stability and regional competiveness. Adaptation is considered a key factor that will shape the future severity of climate change impacts on food production. Changes that will not radically modify the monoculture nature of dominant agroecosystems may moderate negative impacts temporarily. The biggest and most durable benefits will likely result from more radical agroecological measures that will strengthen the resilience of farmers and rural communities, such as diversification of agroecosytems in the form of polycultures, agroforestry systems, and crop-livestock mixed systems accompanied by organic soil management, water conservation and harvesting, and general enhancement of agrobiodiversity. Traditional farming systems are repositories of a wealth of principles and measures that can help modern agricultural systems become more resilient to climatic extremes. Many of these agroecological strategies that reduce vulnerabilities to climate variability include crop diversification, maintaining local genetic diversity, animal integration, soil organic management, water conservation and harvesting, etc. Understanding the agroecological features that underlie the resilience of traditional agroecosystems is an urgent matter, as they can serve as the foundation for the design of adapted agricultural systems. Observations of agricultural performance after extreme climatic events (hurricanes and droughts) in the last two decades have revealed that Resiliency to climate disasters is closely linked to farms with increased levels of biodiversity. Field surveys and results reported in the literature suggest that agroecosystems are more resilient when inserted in a complex landscape matrix, featuring adapted local germplasm deployed in diversified cropping systems managed with organic matter rich soils and water conservation-harvesting techniques. The identification of systems that have withstood climatic events recently or in the past and understanding the agroecological features of such systems that allowed them to resist and/or recover from extreme events is of increased urgency, as the derived Resiliency principles and practices that underlie successful farms can be disseminated to thousands of farmers via Campesino a Campesino networks to scale up agroecological practices that enhance the Resiliency of agroecosystems. The effective diffusion of agroecological technologies will largely determine how well and how fast farmers adapt to climate change.