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Coded-MPMC: One-to-Many Transfer Using Multipath Multicast With Sender Coding

delete2021-01-01
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Masayuki Kurata *
M
Masahiro Shibata
M
Masato Tsuru
DOI:10.1109/ACCESS.2021.3063149delete
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摘要

摘要

En 中文
One-to-many transfers in a fast and efficient manner are essential to meet the growing need for duplicating, migrating, or sharing bulk data among servers in a datacenter and across geographically distributed datacenters. Some existing works utilize multiple multicast trees for a one-to-many transfer request to increase network link utilization and its transfer throughput. However, since those schemes do not fully utilize the max-flow value of transmission from a single sender to each recipient, there is room for each recipient to retrieve data more quickly. Therefore, assuming fully-controlled networks with full-duplex links, we pose a problem to find a set of multicast flows with an allocation of block-wise transmissions by which each of multiple recipients with diverse max-flow values from the sender can utilize its own max-flow value. Based on that, assuming a sender-side coding capability on file blocks, we design a schedule of block transmissions over multiple phases by which each recipient can achieve a lower-bound of its file retrieval completion time, i.e., the file size divided by its own max-flow value. This paper presents the coded Multipath Multicast (Coded-MPMC) for one-to-many transfers with heuristic procedures to find a desired set of multicast flows on which block transmissions are scheduled. Through extensive simulations on large-scale real-world network topologies and different types of randomly-generated synthetic topologies, the proposed method is shown to design a desired schedule efficiently. A preliminary implementation on OpenFlow is also reported to show the fundamental feasibility of Coded-MPMC.
Keyword:
Encoding
Schedules
Network topology
Throughput
Topology
Resource management
Relays
One-to-many transfer
multicast transfer
multipath transfer
max-flow value
sender coding
OpenFlow
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IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

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Kyushu Institute of Technology
学者数:
2.8K
论文数: 2.4K
被引数: 2.1K
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