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  • 1.
    Furdek, Marija
    et al.
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Muhammad, Ajmal
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Skorin-Kapov, N.
    Survivable manycast, anycast and replica placement in optical inter-datacenter networks2017In: 2017 19th International Conference on Transparent Optical Networks (ICTON), IEEE Computer Society, 2017, article id 8024994Conference paper (Refereed)
    Abstract [en]

    Inter-datacenter networks need to support datacenter communication with the end-users, as well as content replication and synchronization between datacenters in a reliable manner. This paper presents a survivable manycast, anycast and replica placement strategy for optical inter-datacenter networks resulting in reduced overall network resource consumption.

  • 2.
    Muhammad, Ajmal
    et al.
    KTH, School of Information and Communication Technology (ICT).
    Monti, Paolo
    KTH, School of Information and Communication Technology (ICT).
    Samadi, P.
    Wosinska, Lena
    KTH, School of Information and Communication Technology (ICT).
    Bergman, K.
    Joint Allocation of IT and Connectivity Resources for Survivable Services in Geographically Distributed Metro Data Centers2018In: 2017 European Conference on Optical Communication (ECOC), Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-3Conference paper (Refereed)
    Abstract [en]

    The paper proposes a survivable and programmable metro-scale converged inter- and intra-datacenter network architecture and exploits its unique features for allocating jointly IT and connectivity resources. The proposed dynamic provisioning strategy offers a substantial reduction of service request blocking.

  • 3.
    Muhammad, Ajmal
    et al.
    KTH, School of Information and Communication Technology (ICT).
    Sgambelluri, A.
    Dugeon, O.
    Martin-Perez, J.
    Paolucci, F.
    De Dios, O. G.
    Ubaldi, F.
    Pepe, T.
    Bernardos, C. J.
    Monti, Paolo
    KTH, School of Information and Communication Technology (ICT).
    On the scalability of connectivity services in a multi-operator orchestrator sandbox2018In: Optics InfoBase Conference Papers, Optics Info Base, Optical Society of America, 2018Conference paper (Refereed)
    Abstract [en]

    The paper investigates the performance of a multi-domain orchestrator (MdO) deployed in a real multi-domain European testbed. Results show how the MdO prototype scales well with the number of domains advertised and connectivity services provisioned.

  • 4.
    Muhammad, Ajmal
    et al.
    KTH.
    Sgambelluri, A.
    Scuola Super Sant Anna, Pisa, Italy..
    Dugeon, O.
    Orange Labs, Lannion, France..
    Martin-Perez, J.
    Univ Carlos III Madrid, Madrid, Spain..
    Paolucci, F.
    Scuola Super Sant Anna, Pisa, Italy..
    De Dios, O. G.
    TID Telefon, Madrid, Spain..
    Ubaldi, F.
    Ericsson Res, Pisa, Italy..
    Pepe, T.
    Ericsson Res, Pisa, Italy..
    Bernardos, C. J.
    Univ Carlos III Madrid, Madrid, Spain..
    Monti, Paolo
    KTH.
    On the Scalability of Connectivity Services in a Multi-Operator Orchestrator Sandbox2018In: 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018Conference paper (Refereed)
    Abstract [en]

    The paper investigates the performance of a multi-domain orchestrator (MdO) deployed in a real multi-domain European testbed. Results show how the MdO prototype scales well with the number of domains advertised and connectivity services provisioned.

  • 5.
    Muhammad, Ajmal
    et al.
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Skorin-Kapov, Nina
    Furdek, Marija
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Manycast, Anycast, and Replica Placement in Optical Inter-Datacenter Networks2017In: Journal of Optical Communications and Networking, ISSN 1943-0620, E-ISSN 1943-0639, Vol. 9, no 12, p. 1161-1171Article in journal (Refereed)
    Abstract [en]

    The expanding adoption of cloud-based services in recent years puts stringent requirements on datacenters (DCs) and their interconnection networks. Optical inter-datacenter networks represent the only viable option for satisfying the huge bandwidth required to replicate and update content for cloud-based services across geographically dispersed datacenters. In addition to content replication and synchronization, optical inter-datacenter networks must also support communication between datacenters and end-users. The resulting new traffic patterns and the enormous traffic volumes call for new capacityefficient approaches for inter-datacenter network designs that incorporate both transport and datacenter resource planning. This paper introduces an integrated approach to optimally place content replicas across DCs by concurrently solving the routing and wavelength assignment (RWA) problem for both inter-DC content replication and synchronization traffic following the manycast routing paradigm, and end-user-driven user-to-DC communication following the anycast routing paradigm, with the objective to reduce the overall network capacity usage. To attain this goal, the manycast, anycast, and replica placement (MARP) problem is formulated as an integer linear program to find optimal solutions for smaller problem instances. Due to the problem complexity, a scalable and efficient heuristic algorithm is developed to solve larger network scenarios. Simulation results demonstrate that the proposed integrated MARP strategy can significantly reduce the network capacity usage when compared to the benchmarking replica placement and RWA schemes aimed at minimizing the resources consumed by either of the two types of traffic independently.

  • 6. Yan, L.
    et al.
    Fiorani, Matteo
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Muhammad, Ajmal
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Tornatore, M.
    Agrell, E.
    Wosinska, Lena
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Network performance trade-off in optical spatial division multiplexing data centers2017In: 2017 Optical Fiber Communications Conference and Exhibition, OFC 2017 - Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2017Conference paper (Refereed)
    Abstract [en]

    We propose close-to-optimal network resource allocation algorithms for modular data centers using optical spatial division multiplexing. A trade-off between the number of established connections and throughput is identified and quantified.

  • 7. Yan, Li
    et al.
    Fiorani, Matteo
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Muhammad, Ajmal
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Tornatore, Massimo
    Agrell, Erik
    Wosinska, Lena
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
    Network Performance Trade-Off in Optical Spatial Division Multiplexing Data Centers2017In: 2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), IEEE , 2017Conference paper (Refereed)
    Abstract [en]

    We propose close-to-optimal network resource allocation algorithms for modular data centers using optical spatial division multiplexing. A trade-off between the number of established connections and throughput is identified and quantified.

  • 8. Yuan, H.
    et al.
    Furdek, Marija
    KTH, School of Information and Communication Technology (ICT).
    Muhammad, Ajmal
    KTH, School of Information and Communication Technology (ICT).
    Saljoghei, A.
    Wosinska, Lena
    KTH, School of Information and Communication Technology (ICT).
    Zervas, G.
    Space-division multiplexing in data center networks: On multi-core fiber solutions and crosstalk-suppressed resource allocation2018In: Journal of Optical Communications and Networking, ISSN 1943-0620, E-ISSN 1943-0639, Vol. 10, no 4, p. 272-288Article in journal (Refereed)
    Abstract [en]

    The rapid growth of traffic inside data centers caused by the increasing adoption of cloud services necessitates a scalable and cost-efficient networking infrastructure. Space-division multiplexing (SDM) is considered as a promising solution to overcome the optical network capacity crunch and support cost-effective network capacity scaling. Multi-core fiber (MCF) is regarded as the most feasible and efficient way to realize SDM networks, and its deployment inside data centers seems very likely as the issue of inter-core crosstalk (XT) is not severe over short link spans (<1 km) compared to that in long-haul transmission. However, XT can still have a considerable effect in MCF over short distances,which can limit the transmission reach and in turn the data center's size. XT can be further reduced by bi-directional transmission of optical signals in adjacent MCF cores. This paper evaluates the benefits of MCF-based SDM solutions in terms of maximizing the capacity and spatial efficiency of data center networks. To this end, we present an analytical model for XT in bi-directional normal step-index and trench-assisted MCFs and propose corresponding XT-aware core prioritization schemes. We further develop XT-aware spectrum resource allocation strategies aimed at relieving the complexity of online XT computation. These strategies divide the available spectrum into disjoint bands and incrementally add them to the pool of accessible resources based on the network conditions. Several combinations of core mapping and spectrum resource allocation algorithms are investigated for eight types of homogeneous MCFs comprising 7-61 cores, three different multiplexing schemes, and three data center network topologies with two traffic scenarios. Extensive simulation results showthat combining bi-directional transmission in dense core fibers with tailored resource allocation schemes significantly increases the network capacity. Moreover, a multiplexing scheme that combines SDM and WDM can achieve up to 33 times higher link spatial efficiency and up to 300 times greater capacity compared to a WDM solution.

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