83 research outputs found

    Challenges experienced by community health workers and their motivation to attend a self-management programme

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    Community health workers (CHWs) are change agents expected to assist in decreasing the global burden of disease in the communities they serve. However, they themselves have health risk behaviours, which predispose them to non-communicable diseases and thus need to be empowered to make better health choices. There is a gap in literature detailing the challenges faced by CHWs in addressing their own health risk behaviours.: This study aimed to explore the challenges experienced by CHWs in carrying out their daily duties and the motivating factors to join a self-management programme

    Cloud-scale VM Deflation for Running Interactive Applications On Transient Servers

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    Transient computing has become popular in public cloud environments for running delay-insensitive batch and data processing applications at low cost. Since transient cloud servers can be revoked at any time by the cloud provider, they are considered unsuitable for running interactive application such as web services. In this paper, we present VM deflation as an alternative mechanism to server preemption for reclaiming resources from transient cloud servers under resource pressure. Using real traces from top-tier cloud providers, we show the feasibility of using VM deflation as a resource reclamation mechanism for interactive applications in public clouds. We show how current hypervisor mechanisms can be used to implement VM deflation and present cluster deflation policies for resource management of transient and on-demand cloud VMs. Experimental evaluation of our deflation system on a Linux cluster shows that microservice-based applications can be deflated by up to 50\% with negligible performance overhead. Our cluster-level deflation policies allow overcommitment levels as high as 50\%, with less than a 1\% decrease in application throughput, and can enable cloud platforms to increase revenue by 30\%.Comment: To appear at ACM HPDC 202

    Rigorous rental memory management for embedded systems

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