Cross-layer resource orchestration for cloud service delivery: A seamless SDN approach

Cerroni, Walter; Gharbaoui, M.; Martini, B.; Campi, Aldo; Castoldi, P.; Callegati, Franco

doi:10.1016/j.comnet.2015.05.008

Cited by 20 publications

(4 citation statements)

References 27 publications

(22 reference statements)

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“…On the other hand, the orchestration of network and cloud-based NFV resources is a relevant research areas, especially in combination with SDN control plane solutions [57]. Indeed, a coordinated control of both cloud-and network-layer resources is recommended in order to provide adaptive service data delivery and adequate user service experiences [58]. In our previous works, concatenated connectivity in computing networks (i.e., into data-center/cloud networks) was also investigated [59] and we also contributed to an end-to-end service chaining including connectivity in edge clouds [60] or within network slicing for industry 4.0 [61].…”

Section: Sdn-based Service Chainingmentioning

confidence: 99%

Intent-based zero-touch service chaining layer for software-defined edge cloud networks

2022

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Section: Sdn-based Service Chainingmentioning

confidence: 99%

Intent-based zero-touch service chaining layer for software-defined edge cloud networks

2022

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“…The use of SDN to orchestrate cloud and network resources is mentioned in a previous study, where the authors recommend a coordinated control of both cloud‐ and network‐layer resources to provide adaptive service data delivery and adequate user service experiences. To this purpose, they use network programmability according to the SDN approach, although not relying on OF to configure delivery paths.…”

Section: Related Work and Contribution Of This Workmentioning

confidence: 99%

An SDN orchestrator for cloud data center: System design and experimental evaluation

Adami

Martini

Sgambelluri

et al. 2017

Trans Emerging Tel Tech

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The high volatility of Virtual Machine (VM) deployments, the unpredictable traffic patterns, and the oversubscription of Data Center (DC) network links give rise to new challenges in data delivery operations in cloud DCs. These challenges can be addressed through a flexible and agile control of DC networks, which is also coordinated, i.e., orchestrated, with the management of computing resources to improve the usage of DC resources while effectively meeting user demands. In this regard, the Software-Defined Network (SDN) paradigm can play a key role thanks to automated and multi-granular network control operations and to a more effective interworking with applications (e.g., cloud management platforms). This paper presents an SDN-based orchestrator able to coordinate the provision of both cloud and network services while jointly arranging VMs and delivery path allocations based on the current load. This approach assures a proper network resource utilization as well as the convey of VM data across the DC network with better than best-effort quality. A prototype is presented with focus on the software design and on the orchestration strategies exploiting measurement-based load estimation mechanisms. The orchestrator has been thoroughly evaluated through a comprehensive set of experiments carried out using a cloud DC testbed. Results show the effectiveness of the proposed SDN-based orchestration approach and the impact of the orchestration strategies on the DC resource utilization.

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“…This distributed and decentralized cloud-based 5G network architecture is posing new challenges to (telco) service providers to fully exploit the potentialities offered by network slicing, especially in terms of resource orchestration [7]. In particular, the prominent problem is how to dynamically and coordinately select and allot both (virtual) computational and network resources in telco clouds while effectively addressing diverse vertical QoS requirements in terms of end-toend latency performance, processing capacity and bandwidth demands [8].…”

Section: Introductionmentioning

confidence: 99%

Resource Orchestration Strategies With Retrials for Latency-Sensitive Network Slicing Over Distributed Telco Clouds

Gharbaoui¹,

Martini

Cecchetti

et al. 2021

IEEE Access

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The new radio technologies (i.e. 5G and beyond) will allow a new generation of innovative services operated by vertical industries (e.g. robotic cloud, autonomous vehicles, etc.) with more stringent QoS requirements, especially in terms of end-to-end latency. Other technological changes, such as Network Function Virtualization (NFV) and Software-Defined Networking (SDN), will bring unique service capabilities to networks by enabling flexible network slicing that can be tailored to the needs of vertical services. However, effective orchestration strategies need to be put in place to offer latency minimization while also maximizing resource utilization for telco providers to address vertical requirements and increase their revenue. Looking at this objective, this paper addresses a latency-sensitive orchestration problem by proposing different strategies for the coordinated selection of virtual resources (network, computational, and storage resources) in distributed DCs while meeting vertical requirements (e.g., bandwidth demand) for network slicing. Three orchestration strategies are presented to minimize latency or the blocking probability through effective resource utilization. To further reduce the slice request blocking, orchestration strategies also encompass a retrial mechanism applied to rejected slice requests. Regarding latency, two components were considered, namely processing and network latency. An extensive set of simulations was carried out over a wide and composite telco cloud infrastructure in which different types of data centers coexist characterized by a different network location, size, and processing capacity. The results compare the behavior of the strategies in addressing latency minimization and service request fulfillment, also considering the impact of the retrial mechanism.

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Cross-layer resource orchestration for cloud service delivery: A seamless SDN approach

Cited by 20 publications

References 27 publications

Intent-based zero-touch service chaining layer for software-defined edge cloud networks

Intent-based zero-touch service chaining layer for software-defined edge cloud networks

An SDN orchestrator for cloud data center: System design and experimental evaluation

Resource Orchestration Strategies With Retrials for Latency-Sensitive Network Slicing Over Distributed Telco Clouds

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