Moab Cluster Scheduling and Resource Management (eBook, ePUB)
Definitive Reference for Developers and Engineers
PAYBACK Punkte
0 °P sammeln!
"Moab Cluster Scheduling and Resource Management" "Moab Cluster Scheduling and Resource Management" provides a comprehensive and authoritative exploration of Moab, a leading platform for advanced cluster scheduling and resource management. Beginning with a historical perspective, the book situates Moab within the context of evolving cluster architectures, illuminating its design philosophy and showcasing its integration with resource managers like Torque and SLURM. Readers gain a firm grasp on Moab's foundation, from its core concepts and terminology to its sophisticated support for batch, int...
"Moab Cluster Scheduling and Resource Management"
"Moab Cluster Scheduling and Resource Management" provides a comprehensive and authoritative exploration of Moab, a leading platform for advanced cluster scheduling and resource management. Beginning with a historical perspective, the book situates Moab within the context of evolving cluster architectures, illuminating its design philosophy and showcasing its integration with resource managers like Torque and SLURM. Readers gain a firm grasp on Moab's foundation, from its core concepts and terminology to its sophisticated support for batch, interactive, and hybrid scheduling paradigms.
Delving into Moab's internal architecture, the text offers in-depth analyses of the core scheduling engine, extensibility points, and policy frameworks. Advanced topics such as policy evaluation and enforcement, state management, event handling through hooks and plugins, and automation interfaces are thoroughly discussed, equipping practitioners to harness Moab's robust features in dynamic, large-scale, multi-tenant environments. Further chapters tackle critical concerns in resource discovery and monitoring, including custom hardware support, integration with external telemetry, and granular resource constraints.
The book extends to address the full job lifecycle, multi-user security strategies, and operational optimization. With coverage of advanced scheduling algorithms-spanning fairness, backfilling, dependency-aware workflows, and energy efficiency-readers will master techniques for maximizing throughput and achieving high service levels. Real-world case studies, troubleshooting guidance, and forward-looking insights into future trends and ecosystem integrations ensure that this resource not only empowers cluster administrators and architects today, but also equips them for the challenges of tomorrow's resource management landscapes.
"Moab Cluster Scheduling and Resource Management" provides a comprehensive and authoritative exploration of Moab, a leading platform for advanced cluster scheduling and resource management. Beginning with a historical perspective, the book situates Moab within the context of evolving cluster architectures, illuminating its design philosophy and showcasing its integration with resource managers like Torque and SLURM. Readers gain a firm grasp on Moab's foundation, from its core concepts and terminology to its sophisticated support for batch, interactive, and hybrid scheduling paradigms.
Delving into Moab's internal architecture, the text offers in-depth analyses of the core scheduling engine, extensibility points, and policy frameworks. Advanced topics such as policy evaluation and enforcement, state management, event handling through hooks and plugins, and automation interfaces are thoroughly discussed, equipping practitioners to harness Moab's robust features in dynamic, large-scale, multi-tenant environments. Further chapters tackle critical concerns in resource discovery and monitoring, including custom hardware support, integration with external telemetry, and granular resource constraints.
The book extends to address the full job lifecycle, multi-user security strategies, and operational optimization. With coverage of advanced scheduling algorithms-spanning fairness, backfilling, dependency-aware workflows, and energy efficiency-readers will master techniques for maximizing throughput and achieving high service levels. Real-world case studies, troubleshooting guidance, and forward-looking insights into future trends and ecosystem integrations ensure that this resource not only empowers cluster administrators and architects today, but also equips them for the challenges of tomorrow's resource management landscapes.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Andere Kunden interessierten sich für
