SideCar

Shieh, Alan; Kandula, Srikanth; Sirer, Emin Gün

doi:10.1145/1868447.1868468

Cited by 18 publications

(3 citation statements)

References 19 publications

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“…Both hypervisor level rate-limits and QoS features have been used to provide appropriate bandwidth to the tenants. SeaWall [40] provides a fair network sharing policy among competing virtual machines (VMs). However, as the sharing policy applies to the VMs instead of tenants, a tenant can practically increase its share of the bandwidth by launching additional source VMs.…”

Section: Related Workmentioning

confidence: 99%

Efficient network isolation and load balancing in multi-tenant HPC clusters

Zahid

Gran

Bogdański³

et al. 2017

Future Generation Computer Systems

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Section: Related Workmentioning

confidence: 99%

Efficient network isolation and load balancing in multi-tenant HPC clusters

Zahid

Gran

Bogdański³

et al. 2017

Future Generation Computer Systems

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“…Several other systems have explored programming abstractions for switches [6,17,29], middleboxes [14,26,35,36], and end hosts [7,24,38]. Notably, languages such as Frenetic [17,16], Pyretic [31], and Maple [40], provide constructs for programming OpenFlow switches.…”

Section: Related Workmentioning

confidence: 99%

“…In response, a number of recent projects have attempted to raise the level of abstraction for specifying network functionality, through the use of programmable switches [6,17,29], middleboxes [14,26,35,36], or end hosts [7,24,38]. Although these approaches have made great strides towards easing the burden on network administrators [23], each offers only a partial solution to the general problem.…”

Section: Introductionmentioning

confidence: 99%

Managing the network with Merlin

Soulé

Basu

Kleinberg

et al. 2013

Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks

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This paper presents the Merlin network management framework. With Merlin, administrators express network policy using programs in a declarative language based on logical predicates and regular expressions. The Merlin compiler automatically partitions these programs into components that can be placed on a variety of devices including switches, middleboxes, and end hosts. It uses a constraint solver and parameterizable heuristics to allocate resources such as paths and bandwidth. To ease the administration of federated networks, Merlin provides mechanisms for delegating management of sub-policies to tenants, along with tools for verifying that delegated sub-policies do not violate global constraints. Overall, Merlin simplifies the task of network administration by providing high-level abstractions for directly specifying network policy.

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An overview of network virtualization and cloud network as a service

Alshaer

2014

Int J Network Mgmt

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Cloud computing services delivery and consumption model is based on communication infrastructure (network). The network serves as a linkage between the end-users consuming cloud services and the providers of data centers providing the cloud services. In addition, in large-scale cloud data centers, tens of thousands of compute and storage nodes are connected by a data center network to deliver a single-purpose cloud service. To this end, some questions could be raised, such as the following: How do network architectures affect cloud computing? How will network architecture evolve to support better cloud computing and cloud-based service delivery? What is the network's role in reliability, performance, scalability, and security of cloud computing? Should the network be a dumb transport pipe or an intelligent stack that is cloud workload aware? This paper focuses on the networking aspect in cloud computing and shall provide insights to these questions. Researchers can use this paper to accelerate their research on devising mechanisms for the following: (i) provisioning cloud network as a service and (ii) engineering network of data centers. Cloud computing would not be possible without virtualization, not for arcane technical reasons but for one obvious business requirement: the need for multi-tenancy. In order to benefit from economies of scale, cloud computing is predicated upon the sharing of a common infrastructure by multiple groups of users, often referred to as tenants. Multi-tenancy can only be achieved through some kind of virtualization, at the database level (Salesforce.com), application server level (Google App Engine), kernel level (Red Hat), or CPU level (Amazon EC2). Unlike grid computing, which often pooled and aggregated distributed computing resources for the purpose of handling very large computing jobs that could not fit or would take long to complete on a single server, cloud computing creates virtual slices of resources from clusters of servers and storage devices, perfectly sized to fit the specific needs of multiple users. Such virtual resources can be small or large, and scale elastically as user needs evolve over time.Some cloud computing applications require multiple distributed sites to work together, which calls for cross-site data-communication capabilities. Carrier-grade cloud computing requires a network architecture, which ensures flexibility, built-in cross-domain network with higher bandwidth, lower latency, and higher fault tolerance. There are three principal areas in which the network architecture is of utmost importance to cloud computing: (i) a data center network (DCN) that interconnects the infrastructure resources (e.g. servers and storage devices) within a data center; (ii) a data center interconnect network (DCIN) that connects multiple data centers in a private, public, or hybrid cloud; and (iii) the Internet network that connects end-users to the different public data centers.By deploying network as a service (NaaS) in a DCN, tenants can benefit from on-demand provision...

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SideCar

Cited by 18 publications

References 19 publications

Efficient network isolation and load balancing in multi-tenant HPC clusters

Efficient network isolation and load balancing in multi-tenant HPC clusters

Managing the network with Merlin

An overview of network virtualization and cloud network as a service

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