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Links as a Service (LaaS): Guaranteed Tenant Isolation in the Shared Cloud

Published: 17 March 2016 Publication History

Abstract

The most demanding tenants of shared clouds require complete isolation from their neighbors, in order to guarantee that their application performance is not affected by other tenants. Unfortunately, while shared clouds can offer an option whereby tenants obtain dedicated servers, they do not offer any network provisioning service, which would shield these tenants from network interference. In this paper, we introduce Links as a Service (LaaS), a new abstraction for cloud service that provides isolation of network links. Each tenant gets an exclusive set of links forming a virtual fat-tree, and is guaranteed to receive the exact same bandwidth and delay as if it were alone in the shared cloud. Consequently, each tenant can use the forwarding method that best ?ts its application. Under simple assumptions, we derive theoretical conditions for enabling LaaS without capacity over-provisioning in fat-trees. New tenants are only admitted in the network when they can be allocated hosts and links that maintain these conditions. LaaS is implementable with common network gear, tested to scale to large networks and provides full tenant isolation at the worst cost of a 10% reduction in the cloud utilization.

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cover image ACM Conferences
ANCS '16: Proceedings of the 2016 Symposium on Architectures for Networking and Communications Systems
March 2016
148 pages
ISBN:9781450341837
DOI:10.1145/2881025
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 17 March 2016

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Author Tags

  1. data centers
  2. high performance computing
  3. tenant isolation

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ANCS '16

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ANCS '16 Paper Acceptance Rate 12 of 58 submissions, 21%;
Overall Acceptance Rate 88 of 314 submissions, 28%

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  • (2021)Mitigating Inter-Job Interference via Process-Level Quality-of-ServiceACM Transactions on Parallel Computing10.1145/34343978:1(1-26)Online publication date: 4-Jan-2021
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