A new technique for minimizing network loss from users’ perspective

Bai, Yan; Ito, M.R.

doi:10.1016/j.jnca.2006.01.003

Cited by 6 publications

(4 citation statements)

References 12 publications

(10 reference statements)

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“…The ReLate2 metric is defined by the product of the average data packet latency and the percent loss that the transport protocol provides + 1 (to account for 0% loss) which implies an order of magnitude increase for 9% loss. Based on previous research which evaluated percent data loss for multimedia applications (Bai, 2006(Bai, , 2007Ngatman, 2008), this adjustment is relevant for multimedia data such as the high-resolution 3-D health data in our SCAAL example. For example, if for a given protocol the average packet latency is 1,000 μs and the percent loss is 0 (i.e., no packets lost) then the ReLate2 value is 1,000.…”

Section: Composite Qos Metrics For Reliability and Timelinessmentioning

confidence: 99%

Timely Autonomic Adaptation of Publish/Subscribe Middleware in Dynamic Environments

Gokhālé

Schmidt

Hoffert

2011

International Journal of Adaptive, Resilient and Autonomic Systems

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Quality-of-service enabled publish/subscribe (pub/sub) middleware provides powerful support for scalable data dissemination. It is difficult to maintain key quality of service properties (such as reliability and latency) in dynamic environments for distributed real-time and embedded systems (such as disaster relief operations or power grids). Managing quality of service manually is often not feasible in dynamic environments due to slow response times, the complexity of managing multiple interrelated quality of service settings, and the scale of the systems being managed. For certain domains, distributed real-time and embedded systems must be able to reflect on the conditions of their environment and adapt accordingly in a bounded amount of time. This paper describes an architecture of quality of service-enabled middleware and corresponding algorithms to support specified quality of service in dynamic environments.

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Section: Composite Qos Metrics For Reliability and Timelinessmentioning

confidence: 99%

Timely Autonomic Adaptation of Publish/Subscribe Middleware in Dynamic Environments

Gokhālé

Schmidt

Hoffert

2011

International Journal of Adaptive, Resilient and Autonomic Systems

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“…Bai and Ito [1] limit acceptable MPEG video loss at 6% while stating that a packet loss rate of more than 5% is unacceptable for Voice over IP (VoIP) users [2]. Ngatman et al [14] define consistent packet loss above 2% as unacceptable for videoconferencing.…”

Section: Evaluation Metric For Reliability and Latencymentioning

confidence: 99%

Evaluating Transport Protocols for Real-Time Event Stream Processing Middleware and Applications

Hoffert

Schmidt

Gokhale

2009

On the Move to Meaningful Internet Systems: OTM 2009

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Abstract. Real-time event stream processing (RT-ESP) applications must synchronize continuous data streams despite fluctuations in resource availability. Satisfying these needs of RT-ESP applications requires predictable QoS from the underlying publish/subscribe (pub/sub) middleware. If a transport protocol is not capable of meeting the QoS requirements within a dynamic environment, the middleware must be flexible enough to tune the existing transport protocol or switch to a transport protocol better suited to the changing operating conditions. Realizing such adaptive RT-ESP pub/sub middleware requires a thorough understanding of how different transport protocols behave under different operating conditions. This paper makes three contributions to work on achieving that understanding. First, we define ReLate2, which is an evaluation metric that combines packet latency and reliability to evaluate transport protocol performance. Second, we use the ReLate2 metric to quantify the performance of various transport protocols integrated with the OMG's Data Distribution Service (DDS) QoS-enabled pub/sub middleware standard using our FLEXible Middleware And Transports (FLEX-MAT) prototype for experiments that capture performance data. Third, we use ReLate2 to pinpoint configurations involving sending rate, network loss, and number of receivers that show the pros and cons of the protocols.

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“…However, in real world applications, the available bandwidth is limited which may result in packet loss or due to communications congestion (Bai and Ito, 2007). Also because of the distributed nature of the devices, wireless communications technology is more likely to be used and is more prone to transmission errors (Lee et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

A robust distributed system incremental cost estimation algorithm for smart grid economic dispatch with communications information losses

Zhang

Rahbari-Asr

Chow

2016

Journal of Network and Computer Applications

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A new technique for minimizing network loss from users’ perspective

Cited by 6 publications

References 12 publications

Timely Autonomic Adaptation of Publish/Subscribe Middleware in Dynamic Environments

Timely Autonomic Adaptation of Publish/Subscribe Middleware in Dynamic Environments

Evaluating Transport Protocols for Real-Time Event Stream Processing Middleware and Applications

A robust distributed system incremental cost estimation algorithm for smart grid economic dispatch with communications information losses

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