Performance evaluation of abstraction models for orchestration of distributed data center networks

Licciardello, Melissa; Fiorani, Matteo; Furdek, Marija; Monti, Paolo; Raffaelli, Carla; Wosinska, Lena

doi:10.1109/icton.2017.8025184

Cited by 7 publications

(8 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In their study, they use two abstraction models: transparent and Virtual Node (VNode), also referred to as Big Switch. Licciardello et al [4] compare the Big Switch and the weighted Virtual Link (VLink) abstraction models in a DC Interconnection network scenario. While these two works presented interesting results, in [3] only two abstraction models were used omitting the VLink model and in [4], the authors assumed that all CSs deployed had wavelength continuity.…”

Section: Related Workmentioning

confidence: 99%

“…Licciardello et al [4] compare the Big Switch and the weighted Virtual Link (VLink) abstraction models in a DC Interconnection network scenario. While these two works presented interesting results, in [3] only two abstraction models were used omitting the VLink model and in [4], the authors assumed that all CSs deployed had wavelength continuity. Casellas et al [5] used the capability to abstract network resources to manage disaggregated optical networks resources.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of the abstraction of optical topology models in blockchain-based data center interconnection

Alemany

Vilalta

Muñoz

et al. 2022

J. Opt. Commun. Netw.

View full text Add to dashboard Cite

Data center (DC) interconnection allows us to have optical transmissions between DCs directly connected to optical networks, avoiding the use of a packet-based infrastructure. Thanks to the use of next-generation pluggable coherent optics, it is possible to create connectivity services (CSs) across multiple optical transport domains. In this multi-domain CS scenario, cloud operators and transport operators have to work together in the most dynamic way possible. To do so, they need a common place (i.e., a market) where the transport operators may expose their available optical resources and the cloud operators request (e.g., rent) them to be used in order to create end-to-end (E2E) CSs between DCs. Having multiple transport operators exposing their resource information in a common place requires a set of common rules (i.e., how much of the topology to show) to create E2E CSs requested between cloud operators. This paper makes use of the blockchain technology to present a blockchain-based extension for the software-defined network (SDN) architecture to allow each optical transport operator domain to become a peer in a blockchain network. In there, each peer follows the same rules and shares the same exact level of topology information by using a specific abstraction model to map the optical domain resources. This paper uses a set of three different abstraction models to validate their behavior on a blockchain system when managing multiple domain resources and the deployment of CSs across these domains. To do so, an experimental comparison on how the different abstraction models affect the performance of the blockchain system is presented.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Evaluation of the abstraction of optical topology models in blockchain-based data center interconnection

Alemany

Vilalta

Muñoz

et al. 2022

J. Opt. Commun. Netw.

View full text Add to dashboard Cite

show abstract

“…Nevertheless, there are very few works that deal with the control and orchestration of CDCs, in particular with emphasis on complexity/cost. There is some work related to the performance evaluation of selected management and control aspects of traditional DCs, like [14], which evaluates the performance of abstraction models in Software Defined Networking (SDN)-based optical DCs. However, the study of the complexity of orchestration and control in CDCs remains an almost unexplored subject.…”

Section: Related Workmentioning

confidence: 99%

On the Complexity of Configuration and Orchestration for Enabling Disaggregated Server Provisioning in Optical Composable Data Centres

Pages¹,

Agraz²,

Spadaro³

2022

J. Opt. Commun. Netw.

View full text Add to dashboard Cite

Due to the limitations of traditional data center (DC) architectures, the concept of infrastructure disaggregation has been proposed. DC resources are separated into multiple blades to be exploited independently. As a result, composable DC (CDC) infrastructures are achieved, enhancing the modularity of resource provisioning. However, disaggregation introduces additional challenges that need to be carefully analyzed. One relates to the potential complexity increase on the orchestration and infrastructure configuration that need to be performed when provisioning resources to support services. This aspect is highly influenced by the distribution of resources at the physical infrastructure. As such, when analyzing the performance of a CDC, it becomes essential to also study the related operational complexity of the resource orchestration and configuration phases. Furthermore, the requirements of several tenant services may impose heterogeneous deployments over the shared physical infrastructure in the form of either disaggregated single-server or multi-server distributions. The associated orchestration/configuration cost is again highly influenced by the data plane architecture of the CDC. With these aspects in mind, in this paper, we provide a methodology for analysis of the complexity of resource orchestration for a service deployment and the associated configuration cost in optical CDCs, considering various service deployment setups. A selected set of CDC architectures found in the literature is employed to quantitatively illustrate how the data plane design and service deployment strategies affect the complexity of infrastructure configuration and resource orchestration.

show abstract

“…Several solutions have been proposed for network inventory creation and abstraction (SONKOLY et al, 2015;FIORANI et al, 2015;FIORANI et al, 2016;LICCIARDELLO et al, 2017;SOENEN et al, 2016;ONAP, 2018). Table 10 shows different projects/related work and their target environment, inputs, and abstraction method.…”

Section: Related Workmentioning

confidence: 99%

“…Mercator Bandwidth resource availability (FIORANI et al, 2015;FIORANI et al, 2016) Optical transport networks (LICCIARDELLO et al, 2017) Distributed data center networks (SOENEN et al, 2016) Service function chaining…”

Section: Related Workmentioning

confidence: 99%

Muded

Alex Lachos Peréz

View full text Add to dashboard Cite

show abstract

Performance evaluation of abstraction models for orchestration of distributed data center networks

Cited by 7 publications

References 6 publications

Evaluation of the abstraction of optical topology models in blockchain-based data center interconnection

Evaluation of the abstraction of optical topology models in blockchain-based data center interconnection

On the Complexity of Configuration and Orchestration for Enabling Disaggregated Server Provisioning in Optical Composable Data Centres

Muded

Contact Info

Product

Resources

About