Cloud control with distributed rate limiting

Raghavan, Barath; Vishwanath, Kashi Venkatesh; Ramabhadran, Sriram; Yocum, Kenneth; Snoeren, Alex C.

doi:10.1145/1282380.1282419

Cited by 125 publications

(53 citation statements)

References 32 publications

(13 reference statements)

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“…The number of virtual nodes in each VN request is randomly selected from 3 to 6 following uniform distribution. Each virtual node requires a random amount of resources between [3,5].…”

Section: Comparison With the Optimal Solutionmentioning

confidence: 99%

Energy efficient virtual network embedding for green data centers using data center topology and future migration

Guan

Choi

Song

2015

Computer Communications

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“…The number of virtual nodes in each VN request is randomly selected from 3 to 6 following uniform distribution. Each virtual node requires a random amount of resources between [3,5].…”

Section: Comparison With the Optimal Solutionmentioning

confidence: 99%

Energy efficient virtual network embedding for green data centers using data center topology and future migration

Guan

Choi

Song

2015

Computer Communications

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“…Distributed rate limiting (DRL) DRL [30,35] enforces global rate limits on aggregate traffic used by geographically distributed cloud services, through a set of collaborating rate limiters. XCo also explicitly limits traffic from nodes, although within a data center cluster.…”

Section: Related Workmentioning

confidence: 99%

Explicit coordination to prevent congestion in data center networks

et al. 2011

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Large cluster-based cloud computing platforms increasingly use commodity Ethernet technologies, such as Gigabit Ethernet, 10GigE, and Fibre Channel over Ethernet (FCoE), for intra-cluster communication. Traffic congestion can become a performance concern in the Ethernet due to consolidation of data, storage, and control traffic over a common layer-2 fabric, as well as consolidation of multiple virtual machines (VMs) over less physical hardware. Even as networking vendors race to develop switch-level hardware support for congestion management, we make the case that virtualization has opened up a complementary set of opportunities to reduce or even eliminate network congestion in cloud computing clusters. We present the design, implementation, and evaluation of a system called XCo, that performs explicit coordination of network transmissions over a shared Ethernet fabric to proactively prevent network congestion. XCo is a software-only distributed solution executing only in the end-nodes. A central controller uses explicit permissions to temporally separate (at millisecond granularity) the transmissions from competing senders through congested links. XCo is fully transparent to applications, presently deployable, and independent of any switch-level hardware support. We present a detailed evaluation of our XCo prototype across a number of network congestion scenarios, and demonstrate that XCo significantly improves network performance during periods of congestion. We also evaluate the behavior of XCo for large topologies using NS3 simulations.

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“…A single entry point provides the advantage of simplified service access management. Furthermore, since point-to-point traffic shaping is a well-studied problem in the networking space, well-known solutions from packet/ATM networks can be applied [8], [9], [10]. Nevertheless, in two-tier EDC deployments, the problem is fundamentally different.…”

Section: B Off-the-shelf Son Appliancesmentioning

confidence: 99%

Towards Multi-Service Traffic Shaping in Two-Tier Enterprise Data Centers

Jarma

Amorim

Viniotis

2011

2011 IEEE Third International Conference on Cloud Computing Technology and Science

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In Enterprise Data Centers (EDC), service providers are usually governed by Client Service Contracts (CSC) that specify, among other requirements, the rate at which a service should be accessed. The contract limits the rate to no more than a number of service requests during a given observation period. In two-tier setups, a cluster of Service-Oriented Networking (SON) Appliances form a pre-processing tier that accesses services in the service tier. SON Appliances locally shape the flow of requests to enforce the global rate defined in the CSC. Off-the-shelf SON Appliances present architectural limitations that prevent them from being used to efficiently perform traffic shaping in the presence of multiple service hosts. In this paper, besides identifying these limitations, we provide two contributions in this field. First, we introduce a SON Appliance architecture fit for multi-service traffic shaping. Second, we propose and validate an algorithm for multipoint-to-multipoint service traffic shaping in two-tier EDCs. We show via simulation that our approach solves the multipoint-to-multipoint service traffic shaping problem while pushing the system to its maximum capacity.

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Cloud control with distributed rate limiting

Cited by 125 publications

References 32 publications

Energy efficient virtual network embedding for green data centers using data center topology and future migration

Energy efficient virtual network embedding for green data centers using data center topology and future migration

Explicit coordination to prevent congestion in data center networks

Towards Multi-Service Traffic Shaping in Two-Tier Enterprise Data Centers

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