2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) 2016
DOI: 10.1109/cloudcom.2016.0101
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Assuring QoS Guarantees for Heterogeneous Services in RINA Networks with ΔQ

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Cited by 12 publications
(11 citation statements)
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“…From the perspective of a user, a perfect system would deliver the desired outcome without error, failure or delay, whereas real systems always fall short of this; we can say that the quality of their response is attenuated relative to the ideal. We denote this 'quality attenuation' by the symbol ∆Q and reformulate the problem of managing performance as one of maintaining suitable bounds on ∆Q [16]. This is an important conceptual shift because 'performance' may appear to be something that can be increased arbitrarily, whereas ∆Q (rather like noise) is something that may be minimised but that can never be completely eliminated.…”
Section: Outcome Diagrams and Outcome Expressionsmentioning
confidence: 99%
“…From the perspective of a user, a perfect system would deliver the desired outcome without error, failure or delay, whereas real systems always fall short of this; we can say that the quality of their response is attenuated relative to the ideal. We denote this 'quality attenuation' by the symbol ∆Q and reformulate the problem of managing performance as one of maintaining suitable bounds on ∆Q [16]. This is an important conceptual shift because 'performance' may appear to be something that can be increased arbitrarily, whereas ∆Q (rather like noise) is something that may be minimised but that can never be completely eliminated.…”
Section: Outcome Diagrams and Outcome Expressionsmentioning
confidence: 99%
“…From the perspective of a user, a perfect system would deliver the desired outcome without error, failure or delay, whereas real systems always fall short of this; we can say that the quality of their response is attenuated relative to the ideal. We denote this 'quality attenuation' by the symbol ∆Q and reformulate the problem of managing performance as one of maintaining suitable bounds on ∆Q [15]. This is an important conceptual shift because 'performance' may appear to be something that can be increased arbitrarily, whereas ∆Q (rather like noise) is something that may be minimised but that can never be completely eliminated.…”
Section: Quality Attenuation (∆Q)mentioning
confidence: 99%
“…We used simulations to verify that our peer selection algorithm, which takes decisions locally, leads to suitable network topologies globally. The peer selection takes into account both the number of hops to disperse information and the network distance of each hop, relying on local measurements of the network distance to available peers in the ΔQ framework [Ree03,DHT99b,LGPC+16,DHT99a,DHST99].…”
Section: Approach(es) Taken At Iohkmentioning
confidence: 99%