Toward cloud-ready transport networks

Contreras, Luis M.; López, Vı́ctor; Dios, Óscar González de; Tovar, A.; Muñoz, Fernando; Azanon, A.; Fernández-Palacios, Juan Pedro; Folgueira, Jesús

doi:10.1109/mcom.2012.6295711

Cited by 75 publications

(34 citation statements)

References 7 publications

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“…Therefore, the unprecedented development of cloud computing triggers the need to make a critical review of currently used networks from the perspective of cloud computing needs. According to [33], current transport networks are not efficiently designed for requirements of cloud environments. First of all, existing networks are mostly focused on unicast (one-to-one) traffic, while different types of applications running on cloud computing systems lead to new traffic patterns including anycast (one-to-one-of-many) flows.…”

Section: Cloud Computing and Networkmentioning

confidence: 99%

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Future research directions in design of reliable communication systems

et al. 2015

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In this position paper on reliable networks, we discuss new trends in the design of reliable communication systems. We focus on a wide range of research directions including protection against software failures as well as failures of communication systems equipment. In particular, we outline future research trends in software failure mitigation, reliability of wireless communications, robust optimization and network design, multilevel and multirealm network resilience, multiple criteria routing approaches in multilayer networks, resilience options of the fixed IP backbone network in the interplay with the optical layer survivability, reliability of cloud computing networks, and

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Section: Cloud Computing and Networkmentioning

confidence: 99%

“…To answer all these challenges, the authors of [33] propose an idea of a cloud-ready network that is prepared to support cloud computing services. The cloud-ready network is based on three technological concepts:…”

Section: Cloud Computing and Networkmentioning

confidence: 99%

Future research directions in design of reliable communication systems

et al. 2015

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“…In fact, prolonged service outages and disruptions have negatively impacted the confidence of important companies toward cloud environments. Telecom operators are in a vantage position to capitalize on highly-reliable cloud services since they own the infrastructure to support on-demand delivery of processing, storage, and network resources, which allow them developing a telecom cloud infrastructure [5]. That connected cloud infrastructure, consisting of datacenters and telecom networks, can provide highly-reliable ultra-low latency cloud services by placing computing resources closer to the end-users thus, increasing quality of experience.…”

Section: Introductionmentioning

confidence: 99%

ABNO-driven content distribution in the telecom cloud

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Contreras

et al. 2017

Optical Switching and Networking

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Abstract-As current sustained traffic growth is expected to strain capacity of today's metro network, novel content distribution architectures where contents are placed closer to the users are being investigated. In that regard, telecom operators can deploy datacenters (DCs) in metro areas, thus reducing the impact of the traffic going from users to DCs. However, effective solutions to distribute contents to those metro DCs and to synchronize contents among them need to be investigated. In this paper, a hierarchical content distribution architecture for the telecom cloud is investigated: core DCs placed in geographically distributed locations, are interconnected through permanent "per content provider" (CP) virtual network topology (CP-VNT); additionally, metro DCs are placed close to users, and need also to be interconnected with the core DCs. CP's data is replicated in the core DCs through the CP-VNT, while metro-to-core (M2C) anycast connections are established periodically for metro DCs to synchronize contents. Since failures in the interconnection network might disconnect the CP-VNTs, in this paper recovery mechanisms are proposed to reconnect topologies and anycast connections. Topology creation, anycast provisioning and recovery problems are first formally stated and modelled as Integer Linear Programs (ILP). Solving these models, however, becomes impractical for realsized scenarios, so heuristic algorithms are also proposed. Exhaustive simulation results show that the investigated architecture provides significant improvements in both supported traffic and restorability compared to the case of a single core DC. Workflows to implement the algorithms within the Applications-based Network Operations (ABNO) architecture and extensions for PCEP are proposed. Finally, the architecture is experimentally validated in our ABNObased iONE test-bed.Keywords: Datacenter interconnection, Optical networks, Content distribution. INTRODUCTIONCloud-based contents are experiencing an exponential growth in users and data volume. In [1], Cisco forecast a yearly global growth of 23% in datacenter (DC)-to-user traffic, 29% in DC-to-DC traffic, and 22% in the intra-DC traffic. Likewise, Alcatel-Lucent highlights that metro traffic will increase 560% by 2017 mainly driven by IP video and cloud traffic [2], growing two times faster than core network traffic. They conclude that placing contents in DCs closer to users can result in a 41% bandwidth reduction in the metro networks. The resulting distributed DC architecture should come together with the extension of the core network functionalities towards the metro, as proposed in [3].Robust telecom infrastructures are needed to minimize the impact of failures on the services [4]; this is especially relevant in the case of video distribution. In fact, prolonged service outages and disruptions have negatively impacted the confidence of important companies toward cloud environments. Telecom operators are in a vantage position to capitalize on highly-reliable cloud services since they o...

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“…Reliable provisioning of cloud-computing services depends on robust resource allocation over a common physical infrastructure, formed by datacenters and communication networks [2][3][4]. Physical infrastructure is often abstracted as "infrastructure as a service (IaaS)" layer which provides computational and communication resources to the upper service layers (e.g., platform as a service (PaaS) and software as a service (SaaS)) of the cloud-computing framework [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Disaster-survivable cloud-network mapping

et al. 2014

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Cloud-computing services are provided to consumers through a network of servers and network equipment. Cloud-network (CN) providers virtualize resources (e.g., virtual machine (VM) and virtual network (VN)) for efficient and secure resource allocation. Disasters are one of the worst threats for CNs as they can cause massive disruptions and CN disconnection. A disaster may also induce post-disaster correlated, cascading failures which can disconnect more CNs. Survivable virtual-network embedding (SVNE) approaches have been studied to protect VNs against single physical-link/-node and dual physicallink failures in communication infrastructure, but massive disruptions due to a disaster and their consequences can make SVNE approaches insufficient to guarantee cloudcomputing survivability.In this work, we study the problem of survivable CN mapping (SCNM) from disaster. We consider risk assessment, VM backup location, and post-disaster survivability to reduce the risk of failure and probability of CN disconnection and the penalty paid by operators due to loss of capacity. We formulate the proposed approach as an integer linear program and study two scenarios: a natural disaster, C. Colman Meixner -E-mail: cecolmanmeixner@ucdavis.edu M.F. Habib -E-mail: mfhabib@ucdavis.edu C-N. Chuah -E-mail: chuah@ucdavis.edu B. Mukherjee -E-mail: bmukherjee@ucdavis.edu University of California, Davis, USA M. Tornatore -E-mail: tornator@elet.polimi.it Politecnico di Milano, Italy F. Dikbiyik -E-mail: fdikbiyik@sakarya.edu.tr Sakarya University, Turkey e.g., earthquake and a human-made disaster, e.g., weaponsof-mass-destruction (WMD) attack. Our illustrative examples show that our approach reduces the risk of CN disconnection and penalty up to 90% compared to a baseline CN mapping approach, and increases the CN survivability up to 100% in both scenarios.

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Toward cloud-ready transport networks

Cited by 75 publications

References 7 publications

Future research directions in design of reliable communication systems

Future research directions in design of reliable communication systems

ABNO-driven content distribution in the telecom cloud

Disaster-survivable cloud-network mapping

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