An optical circuit-switched network core has the potential to overcome the inherent challenges of a conventional electrical packet-switched core of today's compute clusters. As optical circuit switches (OCS) directly handle the photon beams without any optical-electrical-optical (O/E/O) conversion and packet processing, OCS-based network cores have the following desirable properties: a) agnostic to data-rate, b) negligible/zero power consumption, c) no need of transceivers, d) negligible forwarding latency, and e) no need for frequent upgrade. Unfortunately, OCS can only provide point-to-point (unicast) circuits. They do not have built-in support for one-to-many (multicast) communication, yet multicast is fundamental to a plethora of data-intensive applications running on compute clusters nowadays. In this paper, we propose Shufflecast, a novel optical network architecture for next-generation compute clusters that can support high-performance multicast satisfying all the properties of an OCS-based network core. Shufflecast leverages small fanout, inexpensive, passive optical splitters to connect the Top-of-rack (ToR) switch ports, ensuring data-rate agnostic, low-power, physical-layer multicast. We thoroughly analyze Shufflecast's highly scalable data plane, light-weight control plane, and graceful failure handling. Further, we implement a complete prototype of Shufflecast in our testbed and extensively evaluate the network. Shufflecast is more power-efficient than the state-of-the-art multicast mechanisms. Also, Shufflecast is more cost-efficient than a conventional packet-switched network. By adding Shufflecast alongside an OCS-based unicast network, an all-optical network core with the aforementioned desirable properties supporting both unicast and multicast can be realized.
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When Creek Meets River: Exploiting High-Bandwidth Circuit Switch in Scheduling Multicast Data
Data multicast is an important data traffic pattern in today’s data center running big data oriented applications. The physical layer multicast capability enabled by the emerging technologies used to build circuit switches exhibits huge benefit in transferring multicast data. This paper tackles the problem of scheduling multicast data transfer in high-bandwidth circuit switch. The scheduler aims at minimizing the average demand completion time to deliver the most benefit to the applications. Our algorithm exhibits up to 13.4 improvement comparing with the state-of-the-art solution.
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- Award ID(s):
- 1718980
- PAR ID:
- 10058539
- Date Published:
- Journal Name:
- 2017 International Workshop on Networking BigData Oriented Systems (NetBOS)
- Page Range / eLocation ID:
- 1 to 6
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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