{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T04:04:31Z","timestamp":1747454671805,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,15]]},"abstract":"<jats:p>The growing volume of Big Healthcare Data (BHD) workloads requires sustainable solutions to minimise environmental impact. This poster presents a pilot architectural framework that leverages Microservices Architecture (MSA) to enhance the sustainability of BHD workflows. The framework optimises cloud scaling strategies by integrating energy-efficient models with autoscaling tools, such as Kubernetes Event-driven Autoscaling (KEDA) and Horizontal Pod Autoscaling (HPA).<\/jats:p>","DOI":"10.3233\/shti250463","type":"book-chapter","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:57:39Z","timestamp":1747385859000},"source":"Crossref","is-referenced-by-count":0,"title":["A Sustainable Approach to Processing Big Healthcare Data (BHD) Workloads"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5187-1168","authenticated-orcid":false,"given":"Tia","family":"Haddad","sequence":"first","affiliation":[{"name":"School of Computer Science and Mathematics, Kingston University London"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9552-6835","authenticated-orcid":false,"given":"Pushpa","family":"Kumarapeli","sequence":"additional","affiliation":[{"name":"School of Computer Science and Mathematics, Kingston University London"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Intelligent Health Systems \u2013 From Technology to Data and Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250463","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:57:40Z","timestamp":1747385860000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250463"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"ISBN":["9781643685960"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250463","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}