2016
DOI: 10.1016/j.jnca.2015.07.009
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Optimization/simulation-based risk mitigation in resilient green communication networks

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Cited by 12 publications
(12 citation statements)
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“…In the beginning, when QPP was conceptualized [6-11, 14, 15, 30, 31], no special care was maintained for the energy consumption during data transmission. Nowadays, without the consideration of energy [26], any one cannot afford transmission [27,28,32]. In addition to this, the bar on usage of energy resources put a constraint for data transmission [33][34][35][36][37][38][39].…”
Section: Preliminariesmentioning
confidence: 99%
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“…In the beginning, when QPP was conceptualized [6-11, 14, 15, 30, 31], no special care was maintained for the energy consumption during data transmission. Nowadays, without the consideration of energy [26], any one cannot afford transmission [27,28,32]. In addition to this, the bar on usage of energy resources put a constraint for data transmission [33][34][35][36][37][38][39].…”
Section: Preliminariesmentioning
confidence: 99%
“…Recently, QoS routing has been provided by considering the amount of energy used for the data transmission services by considering parameters like reliability, risk, and availability. [26,27]. e reliable QPP problem further extended with energy constraint for the continuity of data transmission [28].…”
Section: Introductionmentioning
confidence: 99%
“…The authors in [27] present a fault-tolerant job scheduling approach for grid environments using adaptive task replication, which is a recovery approach. Providing resiliency in optical WDM networks through shared path protection has been proposed in [28,29,30,31]. Since meeting strict deadlines and QoS requirements is of great importance in our approach, using protection mechanisms tends to be more reliable.…”
Section: Resilient Reservationmentioning
confidence: 99%
“…In resilient networks, the basic approach is risk mitigation that involves decrease of the impact. In practice, mitigation uses combination of resilience procedures [5]. In this case, response deployment embraces the configuration of resources and testing.…”
Section: Introductionmentioning
confidence: 99%
“…Secondly, businesses may be more interested in the variability of loss rather than its mean value, which does not usually capture changes in network behaviour. Here, we use our previous works on the shift of interest in resilient networks design [5][6][7] as a basis. There, we discuss using business-related risk measures, such as Value-at-Risk (VaR).…”
Section: Introductionmentioning
confidence: 99%