TY - GEN
T1 - Quality of Service (QoS)-Driven Edge Computing and Smart Hospitals
T2 - NIELIT's International Conference on Communication, Electronics and Digital Technology, NICE-DT 2023
AU - Buyya, Rajkumar
AU - Srirama, Satish N.
AU - Mahmud, Redowan
AU - Goudarzi, Mohammad
AU - Ismail, Leila
AU - Kostakos, Vassilis
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - The Internet of Things (IoT) paradigm is drastically changing our world by making everyday objects an integral part of the Internet. This transformation is increasingly being adopted in the healthcare sector, where Smart Hospitals are now relying on IoT technologies to track staff, patients, devices, and equipment, both within a hospital and beyond. This paradigm opens the door to new innovations for creating novel types of interactions among objects, services, and people in smarter ways to enhance the quality of patient services and the efficient utilisation of resources. However, the realisation of real-time IoT applications in health care and, ultimately, the development of Smart Hospitals are constrained by their current Cloud-based computing environment. Edge computing emerged as a new computing model that harnesses Edge-based resources alongside Clouds for real-time IoT applications. It helps to capitalise on the potential economic impact of the IoT paradigm of $11 trillion per year, with a trillion IoT devices deployed by 2025 to sense, manage, and monitor the hospital systems in real time. This vision paper proposes new algorithms and software systems to tackle important challenges in Edge computing-enabled Smart Hospitals, including how to manage and execute diverse real-time IoT applications and how to meet their diverse and strict Quality of Service (QoS) requirements in hospital settings. The vision we outline can help tackle timely challenges that hospitals increasingly face.
AB - The Internet of Things (IoT) paradigm is drastically changing our world by making everyday objects an integral part of the Internet. This transformation is increasingly being adopted in the healthcare sector, where Smart Hospitals are now relying on IoT technologies to track staff, patients, devices, and equipment, both within a hospital and beyond. This paradigm opens the door to new innovations for creating novel types of interactions among objects, services, and people in smarter ways to enhance the quality of patient services and the efficient utilisation of resources. However, the realisation of real-time IoT applications in health care and, ultimately, the development of Smart Hospitals are constrained by their current Cloud-based computing environment. Edge computing emerged as a new computing model that harnesses Edge-based resources alongside Clouds for real-time IoT applications. It helps to capitalise on the potential economic impact of the IoT paradigm of $11 trillion per year, with a trillion IoT devices deployed by 2025 to sense, manage, and monitor the hospital systems in real time. This vision paper proposes new algorithms and software systems to tackle important challenges in Edge computing-enabled Smart Hospitals, including how to manage and execute diverse real-time IoT applications and how to meet their diverse and strict Quality of Service (QoS) requirements in hospital settings. The vision we outline can help tackle timely challenges that hospitals increasingly face.
KW - Edge computing
KW - Internet of Things
KW - Quality of Services
KW - Smart Hospitals
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U2 - 10.1007/978-981-99-1699-3_1
DO - 10.1007/978-981-99-1699-3_1
M3 - Conference contribution
AN - SCOPUS:85164922717
SN - 9789819916986
T3 - Lecture Notes in Networks and Systems
SP - 1
EP - 23
BT - Proceedings of the NIELIT’s International Conference on Communication, Electronics and Digital Technology - NICE-DT 2023
A2 - Singh, Sri Niwas
A2 - Mahanta, Saurov
A2 - Singh, Yumnam Jayanta
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 10 February 2023 through 11 February 2023
ER -