RMD (Resource Management in Diffserv) QoS-NSLP model

This draft describes a local QoS model, denoted as Resource Management in Diffserv (RMD) QoS model, for NSIS that extends the IETF Differentiated Services (Diffserv) architecture with a scalable admission control and resource reservation concept. The specification of this QoS model includes a description of its QoS parameter information, as well as how that information should be treated or interpreted in the network

LC-PCN: The Load Control PCN Solution

There is an increased interest of simple and scalable resource provisioning solution for Diffserv network. The Load Control PCN (LC-PCN) addresses the following issues:\ud o Admission Control for real time data flows in stateless Diffserv Domains\ud o Flow Termination: Termination of flows in case of exceptional events, such as severe congestion after re-routing.\ud Admission control in a Diffserv stateless domain is a combination of:\ud o Probing, whereby a probe packet is sent along the forwarding path in a network to determine whether a flow can be admitted based upon the current congestion state of the network\ud o Admission Control based on data marking, whereby in congestion situations the data packets are marked to notify the PCN-egress-node that a congestion occurred on a particular PCN-ingress-node to PCN-egress-node path.\ud \ud The scheme provides the capability of controlling the traffic load in the network without requiring signaling or any per-flow processing in the PCN-interior-nodes. The complexity of Load Control is kept to a minimum to make implementation simple.\u

RMD-QOSM: The NSIS Quality-of-Service Model for Resource Management in Diffserv

This document describes a Next Steps in Signaling (NSIS) Quality-of- Service (QoS) Model for networks that use the Resource Management in Diffserv (RMD) concept. RMD is a technique for adding admission control and preemption function to Differentiated Services (Diffserv) networks. The RMD QoS Model allows devices external to the RMD network to signal reservation requests to Edge nodes in the RMD network. The RMD Ingress Edge nodes classify the incoming flows into traffic classes and signals resource requests for the corresponding traffic class along the data path to the Egress Edge nodes for each flow. Egress nodes reconstitute the original requests and continue forwarding them along the data path towards the final destination. In addition, RMD defines notification functions to indicate overload situations within the domain to the Edge nodes

Action Research in Social Entrepreneurship: A Framework for Involvement

"This paper presents a social entrepreneurship undertaking that has been both a motivation and exemplar to develop action research methods. The complexity of social entrepreneurship and action research processes are presented, highlighting the need for an organising framework that will both provide support and allow for flexibility. The Action Research Cycle, with five key episodes and an emphasis on the dynamics of ebb and flow, is proposed as a framework for understanding and managing social entrepreneurship projects. Drawing on the social entrepreneurship project Mushuk Muyu, examples highlight the application and use of the framework. The paper concludes with key insights, strengths and weaknesses, and the benefits of using the framework." (author's abstract

Resource Management in Diffserv On DemAnd (RODA) PHR

The purpose of this draft is to present the Resource Management in Diffserv (RMD) On DemAnd (RODA) Per Hop Reservation (PHR) protocol. The RODA PHR protocol is used on a per-hop basis in a Differentiated Services (Diffserv) domain and extends the Diffserv Per Hop Behavior (PHB) with resource provisioning and control

Resource management in Diffserv measurement-based admission control PHR

The purpose of this draft is to present the Resource Management in Diffserv (RMD) Measurement-Based Admission Control (RIMA) Per Hop Reservation (PHR) protocol. The RIMA PHR protocol is used on a per-hop basis in a Differentiated Services (Diffserv) domain and extends the Diffserv Per Hop Behavior (PHB) with Measurement-based Admission Control features

Resource Management in Diffserv (RMD) Framework

This draft presents the work on the framework for the Resource Management in Diffserv (RMD) designed for edge-to-edge resource reservation in a Differentiated Services (Diffserv) domain. The RMD extends the Diffserv architecture with new resource reservation concepts and features. Moreover, this framework enhances the Load Control protocol described in [WeTu00].\ud \ud The RMD framework defines two architectural concepts:\ud - the Per Hop Reservation (PHR)\ud - the Per Domain Reservation (PDR)\ud \ud The PHR protocol is used within a Diffserv domain on a per-hop basis to augment the Diffserv Per Hop Behavior (PHB) with resource reservation. It is implemented in all nodes in a Diffserv domain. On the other hand, the PDR protocol manages the resource reservation per Diffserv domain, relying on the PHR resource reservation status in all nodes. The PDR is only implemented at the boundary of the domain (at the edge nodes).\ud \ud The RMD framework presented in this draft describes the new reservation concepts and features. Furthermore it describes the:\ud - relationship between the PHR and PHB\ud - interaction between the PDR and PHR\ud - interoperability between the PDR and external resource reservation schemes\ud \ud This framework is an open framework in the sense that it provides the basis for interoperability with other resource reservation schemes and can be applied in different types of networks as long as they are Diffserv domains. It aims at extreme simplicity and low cost of implementation along with good scaling properties

Maternal body mass index, change in weight status from childhood to late adulthood and physical activity in older age

This study aimed to examine the longitudinal associations of maternal body mass index (BMI), weight status in childhood and late adulthood and device-measured total physical activity (TPA) in older age. The study involves 552 participants from Helsinki Birth Cohort Study who were born in Helsinki, Finland, in 1934-1944. TPA was measured with a multisensory body monitor at a mean age of 70 years and expressed in metabolic equivalent of task hours/day (METh/d). Childhood overweight (BMI > 85th percentile) was based on school health records at 6-7 years of age, and late adulthood overweight (BMI >= 25 kg/m(2)) was based on clinical measurements at the mean age of 61 years. Childhood overweight was associated with lower TPA, particularly in older women (mean difference -3.2 METh/d, 95% confidence interval (CI) -4.6 - -1.9), and late adulthood overweight was associated with lower TPA both in older women (mean difference -6.2, 95% CI (-7.2 - -5.1) and in older men (mean difference -2.6 METh/d, 95% CI -3.7 - -1.5). TPA in older age was highest in participants who were normal weight both in childhood and adulthood and lowest in participants who were overweight in childhood and adulthood. In participants with childhood overweight, TPA was lower in participants who were overweight both in childhood and adulthood compared to those who were overweight only in childhood. There was a U-shaped distribution of TPA according to maternal BMI in older women (P = .002), but not in older men. In conclusion, reaching normal weight after childhood predicted higher physical activity levels in older age.Peer reviewe

The impact of maternal weight in pregnancy on glucose metabolism in non-diabetic offspring in late adulthood

Aims: We aimed to examine the association between maternal adiposity and glucose metabolism in adult offspring without diabetes, simultaneous taking offspring own adiposity into account. Methods: This longitudinal birth cohort study (Helsinki Birth Cohort Study) included 1,440 non-diabetic subjects examined at a mean age of 62 years. Subjects were divided into quartiles according to maternal body mass index (BMI). The impact of maternal BMI on offspring body composition was also studied. Results: There were no differences in fasting glucose between the groups. In men, maternal BMI was inversely associated with mean 2-hour glucose concentration after a 75 g oral glucose tolerance test (p <0.001) and mean homeostatic model assessment of insulin resistance (HOMA-IR) (p = 0.049). According to the subjects' own BMI, high maternal BMI was associated with lower 2-hour glucose concentrations only in non-obese men and with lower HOMA-IR only in obese men. Maternal BMI was not associated with glucose concentrations nor with HOMA-IR in women. In addition, maternal BMI was positively associated with a higher offspring lean body mass in men. Conclusions: High maternal BMI was associated with lower 2-hour plasma glucose concentration, especially in non-obese men. Offspring lean body mass may be a mediating factor for the association. (C) 2019 Elsevier B.V. All rights reserved.Peer reviewe