An End-to-End Stochastic Network Calculus with Effective Bandwidth and Effective Capacity

Network calculus is an elegant theory which uses envelopes to determine the worst-case performance bounds in a network. Statistical network calculus is the probabilistic version of network calculus, which strives to retain the simplicity of envelope approach from network calculus and use the arguments of statistical multiplexing to determine probabilistic performance bounds in a network. The tightness of the determined probabilistic bounds depends on the efficiency of modelling stochastic properties of the arrival traffic and the service available to the traffic at a network node. The notion of effective bandwidth from large deviations theory is a well known statistical descriptor of arrival traffic. Similarly, the notion of effective capacity summarizes the time varying resource availability to the arrival traffic at a network node. The main contribution of this paper is to establish an end-to-end stochastic network calculus with the notions of effective bandwidth and effective capacity which provides efficient end-to-end delay and backlog bounds that grows linearly in the number of nodes ($H$) traversed by the arrival traffic, under the assumption of independence.Comment: 17 page

Belonging: A Phenomenological Study of Systemic Racism Experienced Among Black Students in Occupational Therapy Programs

Belonging, a crucial aspect of humanity and justice, is negated by racism. Formal analyses have shown that racial and ethnic minorities experience significantly higher rates of racial discrimination, with the greatest disparity being among Blacks. Incidences of racism toward healthcare professionals of color indicate that comprehensive and unbiased academic content is warranted in occupational therapy education. This study explored the lived experiences of systemic racism among Black occupational therapy students and their preparation to deal with racism and bias within didactic and clinical settings. This study featured a phenomenological design with data collection through semi-structured interviews and focus groups. Transcripts were coded and inductively analyzed using Qualitative Data Analysis (QDA) Miner software, and intercoder agreement was established. Themes were organized using Wilcock\u27s Occupational Perspective of Health (OPH) framework (Doing, Being, Becoming, and Belonging). The results revealed that the prevailing themes that emerged were Anxiety from Lack of Black Representation, Education through Lived Experience, including family, media, and self-education, and Initiating Change as the Diversity Person. Participants’ sense of Belonging was most affected of all the constructs in the OPH. In conclusion, the tapestry of occupational therapy curricula may benefit from incorporating explicit threads addressing the lasting effects of historic and current systemic racism, thus severely limiting students’ awareness and comprehension of occupational injustices. Recommendations are outlined to identify gaps in current occupational therapy curricula and to guide occupational therapy administrators (Chairs/Program Directors) in developing programs that acknowledge, educate, and combat the effects of systemic racism, thereby enhancing the sense of belonging for all

Ресурсоэффективность в бурении скважин

В результате научно-технического прогресса возникают новые альтернативные способы использования ресурсов, добычи полезных ископаемых. В статье авторы рассматривают традиционный и инновационный методы бурения скважин, проводят сравнение и оценку этих методов с точки зрения ресурсоэффективности. Описывается электроимпульсный метод разрушения горных пород, разработанный учеными ТПУ

Towards Multisensor Data Fusion for DoS Detection

In our present work we introduce the use of data fusion in the field of DoS anomaly detection. We present DempsterShafer 's Theory of Evidence (D-S) as the mathematical foundation for the development of a novel DoS detection engine. Based on a data fusion paradigm, we combine multiple evidence generated from simple heuristics to feed our D-S inference engine and attempt to detect flooding attacks