LIDC: A Location Independent Multi-Cluster Computing Framework for Data Intensive Science

Scientific communities are increasingly using geographically distributed computing platforms. The current methods of compute placement predominantly use logically centralized controllers such as Kubernetes (K8s) to match tasks to available resources. However, this centralized approach is unsuitable...

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Veröffentlicht in:	SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis S. 760 - 764
Hauptverfasser:	Timilsina, Sankalpa, Shannigrahi, Susmit
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 17.11.2024
Schlagworte:	Collaboration Complexity theory Conferences data intensive science Decentralized control Distributed computing High performance computing Manuals orchestration systems Semantics
Online-Zugang:	Volltext
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