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fix typo in documentation (#191)
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Signed-off-by: sachinparihar <[email protected]>
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sachinparihar authored Dec 10, 2024
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4 changes: 2 additions & 2 deletions docs/architecture/overview.md
Original file line number Diff line number Diff line change
Expand Up @@ -10,10 +10,10 @@ Koordinator adds co-location capabilities on top of the original kubernetes, and
The Koordinator Scheduler is deployed as a ```Deployment```, which is used to enhance the resource scheduling capabilities of kubernetes in QoS-aware, differentiated SLO management, and job scheduling. Specifically including:

- QoS-aware scheduling, including load-aware scheduling to make node load more balanced, resource overcommitment to run more computing workloads with low priority.
- Differentiated SLO management, including fine-grained CPU orchestration, different QoS policy(cfs/LLC/memory bw/net bw/blkio) for diffenent workloads.
- Differentiated SLO management, including fine-grained CPU orchestration, different QoS policy(cfs/LLC/memory bw/net bw/blkio) for different workloads.
- Job scheduling, including elastic quota scheduling, gang scheduling, heterogeneous resource scheduling, to support big-data and AI workloads.

In order to better support diffenent workloads, the scheduler also provides a series of general capability enhancements:
In order to better support different workloads, the scheduler also provides a series of general capability enhancements:
- Reservation, an ability for reserving node resources for specific pods or workloads, which is widely used in descheduling, resource preemption and fragmentation optimization.
- Node reservation, an ability for reserving node resources for workloads out of kubernetes, which is typically used for non-containerized workloads.

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4 changes: 2 additions & 2 deletions versioned_docs/version-v1.3/architecture/overview.md
Original file line number Diff line number Diff line change
Expand Up @@ -10,10 +10,10 @@ Koordinator adds co-location capabilities on top of the original kubernetes, and
The Koordinator Scheduler is deployed as a ```Deployment```, which is used to enhance the resource scheduling capabilities of kubernetes in QoS-aware, differentiated SLO management, and job scheduling. Specifically including:

- QoS-aware scheduling, including load-aware scheduling to make node load more balanced, resource overcommitment to run more computing workloads with low priority.
- Differentiated SLO management, including fine-grained CPU orchestration, different QoS policy(cfs/LLC/memory bw/net bw/blkio) for diffenent workloads.
- Differentiated SLO management, including fine-grained CPU orchestration, different QoS policy(cfs/LLC/memory bw/net bw/blkio) for different workloads.
- Job scheduling, including elastic quota scheduling, gang scheduling, heterogeneous resource scheduling, to support big-data and AI workloads.

In order to better support diffenent workloads, the scheduler also provides a series of general capability enhancements:
In order to better support different workloads, the scheduler also provides a series of general capability enhancements:
- Reservation, an ability for reserving node resources for specific pods or workloads, which is widely used in descheduling, resource preemption and fragmentation optimization.
- Node reservation, an ability for reserving node resources for workloads out of kubernetes, which is typically used for non-containerized workloads.

Expand Down
4 changes: 2 additions & 2 deletions versioned_docs/version-v1.4/architecture/overview.md
Original file line number Diff line number Diff line change
Expand Up @@ -10,10 +10,10 @@ Koordinator adds co-location capabilities on top of the original kubernetes, and
The Koordinator Scheduler is deployed as a ```Deployment```, which is used to enhance the resource scheduling capabilities of kubernetes in QoS-aware, differentiated SLO management, and job scheduling. Specifically including:

- QoS-aware scheduling, including load-aware scheduling to make node load more balanced, resource overcommitment to run more computing workloads with low priority.
- Differentiated SLO management, including fine-grained CPU orchestration, different QoS policy(cfs/LLC/memory bw/net bw/blkio) for diffenent workloads.
- Differentiated SLO management, including fine-grained CPU orchestration, different QoS policy(cfs/LLC/memory bw/net bw/blkio) for different workloads.
- Job scheduling, including elastic quota scheduling, gang scheduling, heterogeneous resource scheduling, to support big-data and AI workloads.

In order to better support diffenent workloads, the scheduler also provides a series of general capability enhancements:
In order to better support different workloads, the scheduler also provides a series of general capability enhancements:
- Reservation, an ability for reserving node resources for specific pods or workloads, which is widely used in descheduling, resource preemption and fragmentation optimization.
- Node reservation, an ability for reserving node resources for workloads out of kubernetes, which is typically used for non-containerized workloads.

Expand Down
4 changes: 2 additions & 2 deletions versioned_docs/version-v1.5/architecture/overview.md
Original file line number Diff line number Diff line change
Expand Up @@ -10,10 +10,10 @@ Koordinator adds co-location capabilities on top of the original kubernetes, and
The Koordinator Scheduler is deployed as a ```Deployment```, which is used to enhance the resource scheduling capabilities of kubernetes in QoS-aware, differentiated SLO management, and job scheduling. Specifically including:

- QoS-aware scheduling, including load-aware scheduling to make node load more balanced, resource overcommitment to run more computing workloads with low priority.
- Differentiated SLO management, including fine-grained CPU orchestration, different QoS policy(cfs/LLC/memory bw/net bw/blkio) for diffenent workloads.
- Differentiated SLO management, including fine-grained CPU orchestration, different QoS policy(cfs/LLC/memory bw/net bw/blkio) for different workloads.
- Job scheduling, including elastic quota scheduling, gang scheduling, heterogeneous resource scheduling, to support big-data and AI workloads.

In order to better support diffenent workloads, the scheduler also provides a series of general capability enhancements:
In order to better support different workloads, the scheduler also provides a series of general capability enhancements:
- Reservation, an ability for reserving node resources for specific pods or workloads, which is widely used in descheduling, resource preemption and fragmentation optimization.
- Node reservation, an ability for reserving node resources for workloads out of kubernetes, which is typically used for non-containerized workloads.

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