Multicasting Based Enhanced Proactive Source Routing in MANETs

Dasarathan, Deepa; P, Nirmal Kumar

doi:10.5121/ijcnc.2017.9607

Cited by 1 publication

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fat-Tree, Leaf-Spine, characterized by a large degree of multipath [40,41,96]. There are multiple routes between any two DCN endpoints [1,2,105,110]. However, a critical issue in such network topologies is to design an efficient scheduling mechanism to balance the load among multiple available paths, while satisfying different application requirements defined in the Service Level Agreements (SLAs).…”

Section: Introductionmentioning

confidence: 99%

“…The defector DCN flow scheduling scheme Equal Cost Multi-Path (ECMP [3]) cannot meet such dynamic performance requirements in data centers. Hash collisions in ECMP can cause congestions, degrading throughput [4][5][6][105][106][107] as well as tail latency [7][8][9][109][110][111][112] of DCN flows. To balance the load between DCN switches and paths, stateful schedulers have been proposed, e.g.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A New Approach to Stochastic Scheduling in Data Center Networks

Yuan¹,

Huang²,

Xu³

et al. 2018

IJCNC

View full text Add to dashboard Cite

The Quality of Service (QoS) of scheduling between latency-sensitive small data flows (a.k.a. mice) and throughput-oriented large ones (a.k.a. elephants) has become ever challenging with the proliferation of cloud-based applications. In light of this mounting problem, this work proposes a novel flow control scheme, HOLMES (HOListic Mice-Elephants Stochastic), which offers a holistic view of global congestion awareness as well as a stochastic scheduler of mixed mice-elephants data flows in Data Center Networks (DCNs). Firstly, we theoretically prove the necessity for partitioning DCN paths into sub-networks using a stochastic model. Secondly, the HOLMES architecture is proposed, which adaptively partitions the available DCN paths into low-latency and high-throughput sub-networks via a global congestion-aware scheduling mechanism. Based on the stochastic power-of-two-choices policy, the HOLMES scheduling mechanism acquires only a subset of the global congestion information, while achieves close to optimal load balance on each end-to-end DCN path. We also formally prove the stability of HOLMES flow scheduling algorithm. Thirdly, extensive simulation validates the effectiveness and dependability of HOLMES with select DCN topologies. The proposal has been in test in an industrial production environment. An extensive survey of related work is also presented.

show abstract