EASE: EPC as a service to ease mobile core network deployment over cloud

Taleb, Tarik; Corici, Marius; Parada, Carlos; Jamakovic, Almerima; Ruffino, Simone; Karagiannis, Georgios; Magedanz, Thomas

doi:10.1109/mnet.2015.7064907

Cited by 157 publications

(119 citation statements)

References 9 publications

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“…(1) function ChoosePlace( ) (2) candidates ← GetSortedCandidates( ) (3) for all candidate in candidates do (4) if candidate is then (5) current cost ← CloudCost( ) (6) else (7) current cost ← BnbCost( , candidate) (8) end if (9) if current cost < cost then (10) return place (11) end if (12) end for (13) return none (14) end function …”

Section: Up Statementioning

confidence: 99%

“…In the wake of cloud computing and Network Function Virtualization (NFV) [2,3], Service Providers (SPs) leverage virtual Customer-Premises Equipment (vCPE) as Virtual Network Function (VNF) instances on top of generic physical Customer-Premises Equipment (pCPE), in search of rebuilding a dynamic revenue stream [4]. There can be enough resources for pCPE to deploy VNFs locally [5], while pCPE can also coordinate with the cloud if VNF scale-out is needed to accommodate heavier usage.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

IoT‐B&B: Edge‐Based NFV for IoT Devices with CPE Crowdsourcing

Zhu

Huang

2018

Wireless Communications and Mobile Computing

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For embracing the ubiquitous Internet-of-Things (IoT) devices, edge computing and Network Function Virtualization (NFV) have been enabled in branch offices and homes in the form of virtual Customer-Premises Equipment (vCPE). A Service Provider (SP) deploys vCPE instances as Virtual Network Functions (VNFs) on top of generic physical Customer-Premises Equipment (pCPE) to ease administration. Upon a usage surge of IoT devices at a certain part of the network, vCPU, memory, and other resource limitations of a single pCPE node make it difficult to add new services handling the high demand. In this paper, we present IoT-B&B, a novel architecture featuring resource sharing of pCPE nodes. When a pCPE node has sharable resources available, the SP will utilize its free resources as a "bed-and-breakfast" place to deploy vCPE instances in need. A placement algorithm is also presented to assign vCPE instances to a cost-efficient pCPE node. By keeping vCPE instances at the network edge, their costs of hosting are reduced. Meanwhile, the transmission latencies are maintained at acceptable levels for processing real-time data burst from IoT devices. The traffic load to the remote, centralized cloud can be substantially reduced.

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Section: Up Statementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

IoT‐B&B: Edge‐Based NFV for IoT Devices with CPE Crowdsourcing

Zhu

Huang

2018

Wireless Communications and Mobile Computing

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“…Different from the physical architecture, the resources are varying in time and in place, thus making the slice flexible in terms of capacity and deployment needs. The deployment of a completely virtualized mobile network component (for example, the evolved packet core (EPC) as a service in the cloud has already been evaluated and different deployment options proposed in [18] and a light-weight EPC for MTC in [19]) is no longer new, but developing a high-level template architecture which has all of the VNFs to support any of the slice use-case groups at any particular point in time to enable the deployment of a complete network slice in our opinion is state of the art. For the data/user plane within the slice, a set of components are considered including:…”

Section: Slice Architecturementioning

confidence: 99%

Towards 5G Network Slicing over Multiple-Domains

Afolabi

Ksentini

Bagaa

et al. 2017

IEICE Trans. Commun.

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Ibrahim AFOLABI †a) , Adlen KSENTINI † †b) , Miloud BAGAA †c) , Tarik TALEB †, † † †d) , Marius CORICI † † † †e) , Nonmembers, and Akihiro NAKAO † † † † †f) , Senior Member SUMMARY One of the key objectives of 5G is to evolve the current mobile network architecture from "one-fit-all" design model to a more customized and dynamically scaling one that enables the deployment of parallel systems, tailored to the service requirements on top of a shared infrastructure. Indeed, the envisioned 5G services may require different needs in terms of capacity, latency, bandwidth, reliability and security, which cannot be efficiently sustained by the same network infrastructure. Coming to address these customization challenges, network softwarization expressed through Software Defined Networking (SDN) programmable network infrastructures, Network Function Virtualization (NFV) running network functions as software and cloud computing flexibility paradigms, is seen as a possible panacea to addressing the variations in the network requirements posed by the 5G use cases. This will enable network flexibility and programmability, allow the creation and lifecycle management of virtual network slices tailored to the needs of 5G verticals expressed in the form of Mobile Virtual Network Operators (MVNOs) for automotive, eHealth, massive IoT, massive multimedia broadband. In this vein, this paper introduces a potential 5G architecture that enables the orchestration, instantiation and management of end-to-end network slices over multiple administrative and technological domains. The architecture is described from both the management and the service perspective, underlining the common functionality as well as how the response to the diversified service requirements can be achieved through proper software network components development.

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“…Virtualization of core network functions combined with the use of mature virtualization technologies (e.g., KVM [34], LXC [27], Docker [44], VLANs [8,64]) have led to systems that realize core network slicing [33,48,52]. Even the possibility of EPC as a service over the cloud has been explored [66]. Several research proposals leveraging NFV in the core appeared in the recent past, aimed at its optimization for better scalability (e.g., [9]), customization for particular use cases (e.g., [67]) and in general making it more flexible (e.g., [58]).…”

Section: Related Workmentioning

confidence: 99%

Orion

Foukas

Marina

Kontovasilis

2017

Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

138

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Emerging 5G mobile networks are envisioned to become multiservice environments, enabling the dynamic deployment of services with a diverse set of performance requirements, accommodating the needs of mobile network operators, verticals and over-the-top (OTT) service providers. Virtualizing the mobile network in a flexible way is of paramount importance for a cost-effective realization of this vision. While virtualization has been extensively studied in the case of the mobile core, virtualizing the radio access network (RAN) is still at its infancy. In this paper, we present Orion, a novel RAN slicing system that enables the dynamic on-the-fly virtualization of base stations, the flexible customization of slices to meet their respective service needs and which can be used in an end-to-end network slicing setting. Orion guarantees the functional and performance isolation of slices, while allowing for the efficient use of RAN resources among them. We present a concrete prototype implementation of Orion for LTE, with experimental results, considering alternative RAN slicing approaches, indicating its efficiency and highlighting its isolation capabilities. We also present an extension to Orion for accommodating the needs of OTT providers.

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EASE: EPC as a service to ease mobile core network deployment over cloud

Cited by 157 publications

References 9 publications

IoT‐B&B: Edge‐Based NFV for IoT Devices with CPE Crowdsourcing

IoT‐B&B: Edge‐Based NFV for IoT Devices with CPE Crowdsourcing

Towards 5G Network Slicing over Multiple-Domains

Orion

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