Datacenter and ISP Networks - Revision history

Mhefeeda: /* People */

2023-11-08T23:07:06Z

People

2023-11-08T23:06:38Z

People

2023-11-08T23:06:08Z

People

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Code and Datasets

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 Horus is an in-network task scheduler for datacenters that efficiently assigns short-lived tasks across distributed workers. It minimizes state and communication overhead, dynamically adapts to workloads, and does not buffer tasks, enabling high throughput and reduced tail response times. Compared to traditional rack-confined schedulers, Horus' distributed approach leverages parallel scheduling at line rate across switches. Testing shows Horus scales superbly in large datacenters, outperforming current in-network schedulers in both speed and capacity.
-**[Horus NSDI'24 Paper]
+* [Horus NSDI'24 Paper]
-**[Horus Source Code]
+* [Horus Source Code]

@@ Line 14: / Line 14: @@
 Horus is an in-network task scheduler for datacenters that efficiently assigns short-lived tasks across distributed workers. It minimizes state and communication overhead, dynamically adapts to workloads, and does not buffer tasks, enabling high throughput and reduced tail response times. Compared to traditional rack-confined schedulers, Horus' distributed approach leverages parallel scheduling at line rate across switches. Testing shows Horus scales superbly in large datacenters, outperforming current in-network schedulers in both speed and capacity.
-** [Horus NSDI'24 Paper]
+**[Horus NSDI'24 Paper]
-** [Horus Source Code]
+**[Horus Source Code]

← Older revision		Revision as of 23:06, 8 November 2023
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	[[File:Horus.png\|thumb\|Design of Horus \|right]]		[[File:Horus.png\|thumb\|Design of Horus \|right]]

−	~~Introducing~~ Horus, an in-network task scheduler for datacenters that efficiently assigns short-lived tasks across distributed workers. It minimizes state and communication overhead, dynamically adapts to workloads, and does not buffer tasks, enabling high throughput and reduced tail response times. Compared to traditional rack-confined schedulers, Horus' distributed approach leverages parallel scheduling at line rate across switches. Testing shows Horus scales superbly in large datacenters, outperforming current in-network schedulers in both speed and capacity.	+	Horus is an in-network task scheduler for datacenters that efficiently assigns short-lived tasks across distributed workers. It minimizes state and communication overhead, dynamically adapts to workloads, and does not buffer tasks, enabling high throughput and reduced tail response times. Compared to traditional rack-confined schedulers, Horus' distributed approach leverages parallel scheduling at line rate across switches. Testing shows Horus scales superbly in large datacenters, outperforming current in-network schedulers in both speed and capacity.
		+	** [Horus NSDI'24 Paper]
		+	** [Horus Source Code]

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 '''Horus: In-Network Task Scheduling for Datacenters'''
-[[File:Horus.png|thumb|Design of Horus. |right]]
+[[File:Horus.png|thumb|Design of Horus |right]]
 Introducing Horus, an in-network task scheduler for datacenters that efficiently assigns short-lived tasks across distributed workers. It minimizes state and communication overhead, dynamically adapts to workloads, and does not buffer tasks, enabling high throughput and reduced tail response times. Compared to traditional rack-confined schedulers, Horus' distributed approach leverages parallel scheduling at line rate across switches. Testing shows Horus scales superbly in large datacenters, outperforming current in-network schedulers in both speed and capacity.
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 '''Scalable Multicast for Datacenter Networks'''
 Group communications appear in many recent datacenter applications. These applications, however, do not benefit from multicast due to the absence of efficient systems that support large-scale multicast sessions, minimize state at switches and reduce bandwidth overheads. We propose a new architecture that addresses the challenges of multicast in datacenter networks. The proposed approach carefully divides the state and tasks of the data plane among switches and servers in order to realize efficient multicast services in datacenters, by partially offloading the management of multicast sessions to servers.

@@ Line 11: / Line 11: @@
 '''Horus: In-Network Task Scheduling for Datacenters'''
-[[File:Horus.png|thumb|Design of Horus (Datacenter Task Scheduler). |right]]
+[[File:Horus.png|thumb|Design of Horus. |right]]
 Introducing Horus, an in-network task scheduler for datacenters that efficiently assigns short-lived tasks across distributed workers. It minimizes state and communication overhead, dynamically adapts to workloads, and does not buffer tasks, enabling high throughput and reduced tail response times. Compared to traditional rack-confined schedulers, Horus' distributed approach leverages parallel scheduling at line rate across switches. Testing shows Horus scales superbly in large datacenters, outperforming current in-network schedulers in both speed and capacity.

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+Welcome to our cutting-edge suite of network technologies. We are at the forefront of developing new approaches in task scheduling for datacenters, advancing multicast forwarding techniques, and enhancing the efficiency of both datacenter and ISP network infrastructures.
 == People ==
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 '''Horus: In-Network Task Scheduling for Datacenters'''
 Introducing Horus, an in-network task scheduler for datacenters that efficiently assigns short-lived tasks across distributed workers. It minimizes state and communication overhead, dynamically adapts to workloads, and does not buffer tasks, enabling high throughput and reduced tail response times. Compared to traditional rack-confined schedulers, Horus' distributed approach leverages parallel scheduling at line rate across switches. Testing shows Horus scales superbly in large datacenters, outperforming current in-network schedulers in both speed and capacity.
@@ Line 43: / Line 36: @@
 == Code and Datasets ==
-* [https://github.com/horus-scheduler Hours Source Code].
+* [https://github.com/horus-scheduler Horus Source Code].
 * [https://oktopus-project.org/ Oktopus Source Code].
 == Publications ==
 * K. Diab, P. Yassini, and M. Hefeeda, [https://www2.cs.sfu.ca/~mhefeeda/Papers/nsdi22_orca.pdf Orca: Server-assisted Multicast for Datacenter Networks], In Proc. of USENIX Networked Systems Designed and Implementation (NSDI'22), Renton, WA, April 2022.

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 * [http://www.sfu.ca/~kdiab/ Khaled Diab]
 * Parham Yassini
 * [http://www.cs.sfu.ca/~mhefeeda/ Mohamed Hefeeda]
 '''Horus: In-Network Task Scheduling for Datacenters'''

← Older revision	Revision as of 00:59, 8 November 2023
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