Negotiating on-demand connectivity between clouds and Wide Area Networks

Puthalath, Hareesh; Soares, Janine; Sefidcon, Azimeh; Melander, Bob; Carapinha, Jorge; Melo, Márcio

doi:10.1109/cloudnet.2012.6483666

Cited by 8 publications

(1 citation statement)

References 3 publications

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“…Tight integration between cloud technologies and SDN have been debated for long, since it was demonstrated that networking performance has a significant impact on the quality of Cloud services . In light of the expected convergence, the hottest topic has been interconnection of distributed clouds and points of presence through wide area networks, with specific focus on on‐demand provisioning with guaranteed service level agreements (SLAs) and QoS . In many cases, network programmability is only used as enabler for some form of virtualization and abstraction, based on overlays, to steer traffic across functions and services .…”

Section: Related Workmentioning

confidence: 99%

Balancing QoS and power consumption in programmable 5G infrastructures

Carrega

Portomauro

Repetto

et al. 2018

Trans Emerging Tel Tech

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The advent of fifth generation is promising to push far more intelligence than today to the network boundary, hence boosting novel computing models based on fog/edge paradigms. The need for proximity in computation, coupled with various forms of mobility, will be responsible for dynamic shifting of workload within the system, with large fluctuations in resource usage. This eventually turns into poor energy efficiency of the whole infrastructure. However, improving efficiency usually deteriorates quality of service, hence the dilemma about how to balance these two contrasting aspects. In this paper, we propose a framework that leverages the increasing programmability of ICT infrastructures to pursue a linear relationship between power consumption and workload, while safeguarding quality of service. Our approach is based on workload consolidation and extensions to existing cloud management software. We collected both real measurements from an experimental testbed and performance analysis from simulations to evaluate the consolidation strategy in more complex environments.

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Section: Related Workmentioning

confidence: 99%