On Efficient Data Transfers Across Geographically Dispersed Datacenters
Mohammad Noormohammadpour

TL;DR
This paper presents algorithms and frameworks for optimizing data transfers across geographically dispersed datacenters, focusing on admission control and multicast efficiency to improve network performance and transfer times.
Contribution
It introduces a generalized optimization framework and novel algorithms for admission control and multicast transfers in inter-datacenter networks, enhancing speed and efficiency.
Findings
Significant speed-up in admission control process with minimal performance loss.
Improved receiver completion times for multicast transfers with low computational complexity.
Applicable solutions for large-scale inter-datacenter data transfer optimization.
Abstract
As applications become more distributed to improve user experience and offer higher availability, businesses rely on geographically dispersed datacenters that host such applications more than ever. Dedicated inter-datacenter networks have been built that provide high visibility into the network status and flexible control over traffic forwarding to offer quality communication across the instances of applications hosted on many datacenters. These networks are relatively small, with tens to hundreds of nodes and are managed by the same organization that operates the datacenters which make centralized traffic engineering feasible. Using coordinated data transmission from the services and routing over the inter-datacenter network, one can optimize the network performance according to a variety of utility functions that take into account data transfer deadlines, network capacity consumption,…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Cloud Computing and Resource Management · Peer-to-Peer Network Technologies
