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Abstract In recent years, computing workloads have shifted from the cloud to the fog, and IoT devices are becoming powerful enough to run containerized services. While the combination of IoT devices and fog computing has many advantages, such as increased efficiency, reduced network traffic and better end user experience, the scale and volatility of the fog and edge also present new problems for service deployment scheduling.Fog and edge networks contain orders of magnitude more devices than cloud data centers, and they are often less stable and slower. Additionally, frequent changes in network topology and the number of connected devices are the norm in edge networks, rather than the exception as in cloud data centers.This article presents a service scheduling algorithm, labeled “Swirly”, for fog and edge networks containing hundreds of thousands of devices, which is capable of incorporating changes in network conditions and connected devices. The theoretical performance is explored, and a model of the behaviour and limits of fog nodes is constructed. An evaluation of Swirly is performed, showing that it is capable of managing service meshes for at least 300.000 devices in near real-time.

Supporting older adults in their desire to remain in an independent living environment requires a collaborative, interprofessional approach in which the individual's medical and social needs are coordinated. This approach requires recognizing the difference in the culture of care between primary care and communitybased organizations. Identifying how the two cultures differ may be the first step to learning how to work collaboratively and effectively to meet the social and medical needs of older adults. In this paper, we describe the rationale and process for integrated primary and community-based care in a comprehensive restructuring of care for older adults as well as recommendations for implementation. [ABSTRACT FROM AUTHOR]

Background: The Geriatric Interprofessional Team Transformation for Primary Care (GITT-PC) is a model developed to deliver optimal care to older adults in primary care. GITT-PC is an expansion of the John A. Hartford Foundation Geriatric Interdisciplinary Team Training (GITT) program developed at New York University and funded from 1995 to 2002 (Fulmer et al., 2004). GITT was designed to create training models that reflect the needs of the changing health care system and the challenge of caring for older adults with complex conditions (Fulmer et al., 2005). The GITT-PC model builds on the lessons learned from GITT and the development of curricula and training materials based on best practices. Methods: Implementation of GITT-PC is accomplished through systems and practices that meet the needs and preferences of patients and their families and that are implemented by teams of health professionals and community service providers. GITT-PC is focused on four core components of high-quality geriatric care: (1) health promotion and prevention, (2) chronic disease management, (3) advanced care planning, and (4) transitional care management, each component corresponding to a Medicare-reimbursable visit. Results: Implementation of these reimbursable services enables practices to provide evidence-based geriatric care while realizing a potential significant return on investment. Conclusions: The GITT-PC model has evolved from an academic training program to a financially sustainable model that serves to improve the care of older adults through a systematic team transformation process that makes a clear business case for primary care (Tabbush et al., 2021). The GITT-PC training program can be implemented in primary care practices with a focus on improving or expanding delivery of annual wellness visits (AWVs) and, potentially, registered RN-led AWVs. [ABSTRACT FROM AUTHOR]