Fitting green anycast strategies to cloud services in WDM hybrid power networks

Boryło, Piotr; Lasoń, Artur; Rza̧sa, Jacek; Szymanski, Andrzej; Jajszczyk, Andrzej

doi:10.1109/glocom.2014.7037198

Cited by 9 publications

(8 citation statements)

References 12 publications

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“…Thus, we present results only for the mean value of the ht parameter for the SaaS service equal to 360 s and omit the remaining ones. This conclusion is consistent with our previous work [25].…”

Section: Resultssupporting

confidence: 83%

“…These three properties are crucial for appropriate fitting of anycast strategies to cloud service types and for proper evaluation of the proposed cooperation models. The presented assumptions are consistent with our previous work [25].…”

Section: Cloud and Network Architecturessupporting

confidence: 80%

“…Numerous assumptions taken in this paper come from two of our previous works: [24] and [25]. In [24] we proposed three anycast strategies and compared them to three reference strategies with regard to network blocking probability and carbon dioxide emission.…”

Section: Related Workmentioning

confidence: 99%

“…The main difference between [24] and this paper comes from the fact that in our previous work DCs had infinite computing resources and were assumed to offer only one type of cloud service. In [25] we introduced three types of cloud services and proposed schemas for fitting different anycast strategies to those services. The fitting was performed based on network resource requirements and energy consumption.…”

Section: Related Workmentioning

confidence: 99%

“…However, based on properties of both cloud service types and anycast strategies we propose the following fitting schema which was thoroughly investigated in [25]. PaaS requests, which have the 20: return null 21: end if highest energy requirements, should be handled by the closestGreen strategy, which strictly favorises green DCs over brown DCs, at a cost of increased average lightpath length and increased network resource utilization.…”

Section: Fitting Schemasmentioning

confidence: 99%

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Green Cloud Provisioning Throughout Cooperation of a WDM Wide Area Network and a Hybrid Power IT Infrastructure

et al. 2015

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The paper focuses on cooperation between cloud and network operators, as well as on fitting particular routing strategies to various cloud services. Three cooperation models are presented, analyzed and compared in the paper: the proposed model and two widely used reference models. The main difference between the models is the set of information being exchanged between the involved parties. Additionally, we analyze the applicability of four fitting schemas for each considered model. It is shown that the proposed model, alongside with an appropriate fitting schema, is able to reduce the blocking probability of cloud services requests. At the same time, thanks to the use of green anycast strategies, it is able to significantly reduce carbon dioxide emission.

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Section: Resultssupporting

confidence: 83%

Section: Cloud and Network Architecturessupporting

confidence: 80%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Fitting Schemasmentioning

confidence: 99%

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Green Cloud Provisioning Throughout Cooperation of a WDM Wide Area Network and a Hybrid Power IT Infrastructure

et al. 2015

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A time‐efficient shrinkage algorithm for the Fourier‐based prediction enabling proactive optimisation in software‐defined networks

Rzym

Boryło

Chołda

2020

Int J Communication

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SummaryThis paper focuses on the problem of time‐efficient traffic prediction. The prediction enables the proactive and globally scoped optimisation in software‐defined networks (SDNs). We propose the shrinkage and selection heuristic method for the trigonometric Fourier‐based traffic models in SDNs. The proposed solution allows us to optimise the network for an upcoming time window by installing flow entries in SDN nodes before the first packet of a new flow arrives. As the mechanism is designed to be a part of a sophisticated routing‐support system, several critical constraints are considered and taken into account. Specifically, the system is traffic‐ and topology‐agnostic, thus the prediction mechanism must be applicable to the networks with highly variable traffic loads (e.g., observed inside intra‐DCNs: datacentre networks). Furthermore, the system must effectively optimise routing in large‐scale SDNs comprised of numerous nodes and handling millions of flows of a dynamic nature. Therefore, the prediction must be simultaneously accurate as well as being time efficient and scalable. These requirements are met by our Fourier‐based solution, which subtracts consecutive harmonics from the original signal and compares the result with an adaptive threshold adjusted to the signal's standard deviation. The evaluation is performed by comparing the proposed heuristic with the well‐known Lasso method of proven accuracy. The results show that our solution is able to retain prediction accuracy at a comparable level. Moreover, in accordance with our main aim, we operate in a manner which is always significantly faster. In some cases, computation times are reduced by as much as 50 times.

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PARD: Hybrid Proactive and Reactive Method Eliminating Flow Setup Latency in SDN

et al. 2020

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Advantages of Software Defined Networking are unquestionable and are widely described in numerous scientific papers, business white papers and press articles. However, to achieve full maturity, crucial impediments to this concept and its shortcomings must be overcame. One of the most important issues regards significant setup latency of a new flow. To address this issue we propose PARD: a hybrid proactive and reactive method to manage flow table entries. Additional advantages of the proposed solution are, among the others, its ability to preserve all capabilities of Software Defined Networking, utilization of multiple flow tables, a possibility to employ fine-grained traffic engineering and, finally, compatibility with existing protocol and hardware design. It is shown that the proposed solution is able to significantly reduce latency of first packets of a new flow, which directly impacts packet loss and perceived throughput. Thus, our solution is expected to enable a wide deployment of Software Defined Networking concept without any need for protocol changes or, what is extremely important, hardware modifications.

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Fitting green anycast strategies to cloud services in WDM hybrid power networks

Cited by 9 publications

References 12 publications

Green Cloud Provisioning Throughout Cooperation of a WDM Wide Area Network and a Hybrid Power IT Infrastructure

Green Cloud Provisioning Throughout Cooperation of a WDM Wide Area Network and a Hybrid Power IT Infrastructure

A time‐efficient shrinkage algorithm for the Fourier‐based prediction enabling proactive optimisation in software‐defined networks

PARD: Hybrid Proactive and Reactive Method Eliminating Flow Setup Latency in SDN

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