Change search
Link to record
Permanent link

Direct link
BETA
Alternative names
Publications (10 of 24) Show all publications
Yan, L., Fiorani, M., Muhammad, A., Tornatore, M., Agrell, E. & Wosinska, L. (2018). Network Performance Trade-Off in Modular Data Centers With Optical Spatial Division Multiplexing. Journal of Optical Communications and Networking, 10(9), 796-808
Open this publication in new window or tab >>Network Performance Trade-Off in Modular Data Centers With Optical Spatial Division Multiplexing
Show others...
2018 (English)In: Journal of Optical Communications and Networking, ISSN 1943-0620, E-ISSN 1943-0639, Vol. 10, no 9, p. 796-808Article in journal (Refereed) Published
Abstract [en]

Modular design based on spatial division-multiplexing switches is a promising way to improve the capacity and reduce the cabling complexity of data center networks. However, due to the coexistence of mice and elephant flows, in modular data center networks a trade-off between the blocking probability and total throughput arises. In fact, blocking elephant flows would lead to a relevant penalty on the throughput but a small penalty on the blocking probability. In this paper, we investigate the relation between the blocking and throughput in modular data center networks based on optical spatial division multiplexing. We combine the two metrics linearly by a weight factor that prioritizes them relatively. To solve the resource allocation problem, we propose both mixed integer linear programming formulations and close-to-optimal heuristics for three different spatial division multiplexing switching schemes. Simulation results demonstrate that a carefully chosen weight factor is necessary to achieve a proper balance between the blocking probability and throughput for all the schemes.

Place, publisher, year, edition, pages
Optical Society of America, 2018
Keywords
Data centers, Resource allocation, Spatial division multiplexing
National Category
Telecommunications
Identifiers
urn:nbn:se:kth:diva-237143 (URN)10.1364/JOCN.10.000796 (DOI)000446303800009 ()2-s2.0-85054379467 (Scopus ID)
Funder
Swedish Research Council, 2014-6138Swedish Research Council, 2012-5280Swedish Research Council, 2014-6230
Note

QC 20181025

Available from: 2018-10-25 Created: 2018-10-25 Last updated: 2018-10-25Bibliographically approved
Samadi, P., Fiorani, M., Shen, Y., Wosinska, L. & Bergman, K. (2017). Flexible Architecture and Autonomous Control Plane for Metro-Scale Geographically Distributed Data Centers. Journal of Lightwave Technology, 35(6), 1188-1196
Open this publication in new window or tab >>Flexible Architecture and Autonomous Control Plane for Metro-Scale Geographically Distributed Data Centers
Show others...
2017 (English)In: Journal of Lightwave Technology, ISSN 0733-8724, E-ISSN 1558-2213, Vol. 35, no 6, p. 1188-1196Article in journal (Refereed) Published
Abstract [en]

Enterprises and cloud providers are moving away from deployment of large-scale data centers and towards smallto mid-sized data centers because of their lower implementation and maintenance costs. An optical metro network is used to provide connectivity among these data centers. The optical network requires flexibility on bandwidth allocation and various levels of Quality of Service to support the new emerging applications and services including the ones enabled by 5G. As a result, next generation optical metro networks face complex control and management issues that needs to be resolved with automation. We present a converged inter/intra data center network architecture with an autonomous control plane for flexible bandwidth allocation. The architecture supports both single-rate and multi-rate data planes with two types of physical layer connections (Background and Dynamic) that provide connections with strict bandwidth and latency requirements. We demonstrate autonomous bandwidth steering between two data centers on our prototype. Leveraging a simulation platform, we show up to 5x lower transmission times and 25% less spectrum usage compared with the single-rate conventional non-converged networks. This is a significant improvement in the data center network performance and energy efficiency.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2017
Keywords
Autonomous control plane, data center networks, networks, network provisioning strategy, optical communication, optical metro networks, quality of service (QoS), software-defined networking (SDN), traffic monitoring
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-206703 (URN)10.1109/JLT.2017.2652480 (DOI)000399388500006 ()2-s2.0-85018990154 (Scopus ID)
Note

QC 20170509

Available from: 2017-05-09 Created: 2017-05-09 Last updated: 2018-09-19Bibliographically approved
Yan, L., Fiorani, M., Muhammad, A., Tornatore, M., Agrell, E. & Wosinska, L. (2017). Network Performance Trade-Off in Optical Spatial Division Multiplexing Data Centers. In: 2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC): . Paper presented at Optical Fiber Communications Conference and Exhibition (OFC), MAR 19-23, 2017, Los Angeles, CA. IEEE
Open this publication in new window or tab >>Network Performance Trade-Off in Optical Spatial Division Multiplexing Data Centers
Show others...
2017 (English)In: 2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), IEEE , 2017Conference paper, Published 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.

Place, publisher, year, edition, pages
IEEE, 2017
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Atom and Molecular Physics and Optics
Identifiers
urn:nbn:se:kth:diva-210962 (URN)10.1364/OFC.2017.W3D.5 (DOI)000403405800627 ()2-s2.0-85019853331 (Scopus ID)978-1-943580-23-1 (ISBN)
Conference
Optical Fiber Communications Conference and Exhibition (OFC), MAR 19-23, 2017, Los Angeles, CA
Note

QC 20170713

Available from: 2017-07-13 Created: 2017-07-13 Last updated: 2017-07-13Bibliographically approved
Yan, L., Fiorani, M., Muhammad, A., Tornatore, M., Agrell, E. & Wosinska, L. (2017). Network performance trade-off in optical spatial division multiplexing data centers. In: 2017 Optical Fiber Communications Conference and Exhibition, OFC 2017 - Proceedings: . Paper presented at 2017 Optical Fiber Communications Conference and Exhibition, OFC 2017, 19 March 2017 through 23 March 2017. Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Network performance trade-off in optical spatial division multiplexing data centers
Show others...
2017 (English)In: 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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2017
Keywords
Optical fibers, Time division multiplexing, Data centers, Modular data, Optimal networks, Performance trade-off, Spatial Division Multiplexing, Trade off, Optical fiber communication
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-216482 (URN)2-s2.0-85025829686 (Scopus ID)9781943580231 (ISBN)
Conference
2017 Optical Fiber Communications Conference and Exhibition, OFC 2017, 19 March 2017 through 23 March 2017
Note

QC 20171212

Available from: 2017-12-12 Created: 2017-12-12 Last updated: 2017-12-12Bibliographically approved
Licciardello, M., Fiorani, M., Furdek, M., Monti, P., Raffaelli, C. & Wosinska, L. (2017). Performance evaluation of abstraction models for orchestration of distributed data center networks. In: 2017 19th International Conference on Transparent Optical Networks (ICTON): . Paper presented at 19th International Conference on Transparent Optical Networks, ICTON 2017, Girona, Catalonia, Spain, 2 July 2017 through 6 July 2017. IEEE Computer Society, Article ID 8025184.
Open this publication in new window or tab >>Performance evaluation of abstraction models for orchestration of distributed data center networks
Show others...
2017 (English)In: 2017 19th International Conference on Transparent Optical Networks (ICTON), IEEE Computer Society, 2017, article id 8025184Conference paper, Published paper (Refereed)
Abstract [en]

Cloud computing is increasingly based on geographically distributed data centers interconnected by high performance networks. Application of Software Defined Networking (SDN) is studied as an emerging solution to support dynamic network resource management for distributed data centers (DCs) jointly with extensive use of Network Function Virtualization (NFV). SDN/NFV operation takes advantage of orchestration of network control functions according to distributed DCs communication needs. Orchestration relies on a set of logical information related to the underlying infrastructure, called abstraction, which offers different levels of visibility of available resources, depending on the abstraction strategy adopted.

Place, publisher, year, edition, pages
IEEE Computer Society, 2017
Series
International Conference on Transparent Optical Networks, ISSN 2162-7339
Keywords
Abstraction, Data Center, Optical networks, Orchestration, SDN, Simulation
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-218545 (URN)10.1109/ICTON.2017.8025184 (DOI)000427031500457 ()2-s2.0-85031042943 (Scopus ID)9781538608586 (ISBN)
Conference
19th International Conference on Transparent Optical Networks, ICTON 2017, Girona, Catalonia, Spain, 2 July 2017 through 6 July 2017
Note

QC 20171130

Available from: 2017-11-30 Created: 2017-11-30 Last updated: 2018-04-03Bibliographically approved
Tonini, F., Fiorani, M., Furdek, M., Raffaelli, C., Wosinska, L. & Monti, P. (2017). Radio and Transport Planning of Centralized Radio Architectures in 5G Indoor Scenarios. IEEE Journal on Selected Areas in Communications, 35(8), 1837-1848
Open this publication in new window or tab >>Radio and Transport Planning of Centralized Radio Architectures in 5G Indoor Scenarios
Show others...
2017 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 35, no 8, p. 1837-1848Article in journal (Refereed) Published
Abstract [en]

Providing high capacity to the end users is one of the main challenges for the fifth generation (5G) of mobile networks. The users' habit to consume online contents indoor makes the outdoor-to-indoor capacity provisioning impractical, especially when the high-frequency bands proposed for 5G are employed. The centralized radio architecture (CRA) is an inbuilding solution, which relies on the centralization of baseband processing functions, fully or partly allowing for centralized cell management while providing signals directly inside the buildings. On the other hand, the massive deployment of CRAs in urban areas may yield to unacceptably high installation costs, due to the radio network equipment to be activated. To make CRAs appealing to mobile operators, we propose different deployment strategies to minimize the CRA deployment cost. We define the remote radio unit placement (RRUP) problem and formulate it as an integer linear program, obtaining optimal deployment solutions in small urban residential scenarios. We prove the RRUP problem to be NP-hard, requiring heuristic approaches to solve large problem instances. To this end, we propose an effective and scalable heuristic for minimizing the amount of radio equipment required to deploy CRAs in large urban areas.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
5G, fronthaul, backhaul, centralized radio architecture (CRA), indoor network deployment, cost optimization
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-211595 (URN)10.1109/JSAC.2017.2710582 (DOI)000405719300012 ()2-s2.0-85028999372 (Scopus ID)
Funder
VINNOVA
Note

QC 20170815

Available from: 2017-08-15 Created: 2017-08-15 Last updated: 2018-09-19Bibliographically approved
Samadi, P., Fiorani, M., Shen, Y., Wosinska, L. & Bergman, K. (2017). Self-Adaptive, Multi-Rate Optical Network for Geographically Distributed Metro Data Centers. In: 2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC): . Paper presented at Optical Fiber Communications Conference and Exhibition (OFC), MAR 19-23, 2017, Los Angeles, CA. IEEE
Open this publication in new window or tab >>Self-Adaptive, Multi-Rate Optical Network for Geographically Distributed Metro Data Centers
Show others...
2017 (English)In: 2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

We propose a self-adaptive, multi-rate converged architecture and control-plane for metro-scale inter-data-center networks, enabling live autonomous bandwidth steering. Experimental and numerical evaluations demonstrate up to 5x and 25% improvements in transmission times and spectrum usage.

Place, publisher, year, edition, pages
IEEE, 2017
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Atom and Molecular Physics and Optics
Identifiers
urn:nbn:se:kth:diva-210959 (URN)10.1364/OFC.2017.W3D.2 (DOI)000403405800624 ()2-s2.0-85019913201 (Scopus ID)978-1-943580-23-1 (ISBN)
Conference
Optical Fiber Communications Conference and Exhibition (OFC), MAR 19-23, 2017, Los Angeles, CA
Note

QC 20170712

Available from: 2017-07-12 Created: 2017-07-12 Last updated: 2017-08-15Bibliographically approved
Fiorani, M., Rostami, A., Wosinska, L. & Monti, P. (2016). Abstraction Models for Optical 5G Transport Networks. Journal of Optical Communications and Networking, 8(9), 656-665
Open this publication in new window or tab >>Abstraction Models for Optical 5G Transport Networks
2016 (English)In: Journal of Optical Communications and Networking, ISSN 1943-0620, E-ISSN 1943-0639, Vol. 8, no 9, p. 656-665Article in journal (Refereed) Published
Abstract [en]

The orchestration of radio, transport, and cloud resources is a key enabler for efficient service delivery in 5G networks. Orchestration can be achieved with a hierarchical software-defined networking (SDN) control architecture in which a global orchestrator operates above the domain controllers. In such an architecture, the abstraction of resources between the controllers and the orchestrator plays a fundamental role for the system performance. In order to reduce the orchestrator complexity, the controllers should hide as much detail as possible from the orchestrator. On the other hand, the more details are available to the orchestrator the more optimal resource orchestration strategy can be obtained. In order to assess this trade-off, we recently proposed two transport abstraction models, namely big switch (BiS) and virtual link (VL), for centralized radio access networks (C-RANs) with orchestration of radio and transport resources. We observed that VL can provide a more efficient resource orchestration than BiS at the expense of an increased implementation complexity. The contribution of this paper is twofold. We extend the BiS and VL models to make them applicable to any orchestration scenario. Then, we propose a new transport abstraction model, referred to as optical transport transformation (OTT), that aims at achieving efficient resource orchestration with a reduced implementation complexity. We compare the performance of these new abstraction models in a C-RAN use case in which backhaul and fronthaul traffic are carried over a dense wavelength division multiplexing (DWDM) network. Our results prove that in a C-RAN the best choice for the transport abstraction model depends on the availability and the reachability of the radio resources. If radio resources are scarce compared to transport resources, complex transport abstraction models are not needed and a BiS abstraction is the best choice. On the other hand, if radio resources are widely available and reachable, an OTT model guarantees the best overall performance.

Place, publisher, year, edition, pages
Optical Society of America, 2016
National Category
Telecommunications
Identifiers
urn:nbn:se:kth:diva-189903 (URN)10.1364/JOCN.8.000656 (DOI)000384245300003 ()2-s2.0-84986917991 (Scopus ID)
Note

QC 20160829

Available from: 2016-07-25 Created: 2016-07-25 Last updated: 2017-11-28Bibliographically approved
Farias, F., Fiorani, M., Tombaz, S., Mahloo, M., Wosinska, L., Costa, J. C. W. & Monti, P. (2016). Cost- and energy-efficient backhaul options for heterogeneous mobile network deployments. Photonic network communications, 32(3), 422-437
Open this publication in new window or tab >>Cost- and energy-efficient backhaul options for heterogeneous mobile network deployments
Show others...
2016 (English)In: Photonic network communications, ISSN 1387-974X, E-ISSN 1572-8188, Vol. 32, no 3, p. 422-437Article in journal (Refereed) Published
Abstract [en]

Heterogeneous networks (HetNets) have the potential to cater for the capacity requirements of mobile broadband services at reduced cost and energy consumption levels. One key aspect in HetNets is the role of the backhaul. More specifically, it is crucial for a mobile operator to understand the impact of specific technological and architectural upgrades in the mobile backhaul network on the capital and operational expenditure (i.e., CAPEX and OPEX). This paper proposes a comprehensive methodology that can be used to analyze the total cost of ownership of a number of backhaul options based on fiber, microwave, and copper technologies. The study considers both a Greenfield and a Brownfield scenario and takes into account the mobile broadband capacity requirements for the time period between years 2015 and 2025. From the results presented in the paper it can be concluded that even though microwave and fiber will be predominately used in the future, the possible migration paths leading to such fiber- and microwave-based backhaul scenarios might be different, depending upon factors such as spectrum and license costs, time to deployment, availability of equipment, and required quality of service levels.

Place, publisher, year, edition, pages
AMER INST PHYSICS, 2016
Keywords
Mobile broadband, Small cells, Heterogeneous networks (HetNet), Backhaul, Total cost of ownership (TCO), Greenfield deployment, Brownfield deployment, Migration strategies
National Category
Physical Sciences
Identifiers
urn:nbn:se:kth:diva-199756 (URN)10.1007/s11107-016-0676-6 (DOI)000390023700008 ()2-s2.0-84996559047 (Scopus ID)
Note

QC 20170120

Available from: 2017-01-20 Created: 2017-01-16 Last updated: 2017-08-15Bibliographically approved
Öhlén, P., Skubic, B., Rostami, A., Fiorani, M., Monti, P., Ghebretensaé, Z., . . . Wosinska, L. (2016). Data plane and control architectures for 5G transport networks. Journal of Lightwave Technology, 34(6), 1501-1508, Article ID 7397818.
Open this publication in new window or tab >>Data plane and control architectures for 5G transport networks
Show others...
2016 (English)In: Journal of Lightwave Technology, ISSN 0733-8724, E-ISSN 1558-2213, Vol. 34, no 6, p. 1501-1508, article id 7397818Article in journal (Refereed) Published
Abstract [en]

Next generation 5G mobile system will support the vision of connecting all devices that benefit from a connection, and support a wide range of services. Consequently, 5G transport networks need to provide the required capacity, latency, and flexibility in order to integrate the different technology domains of radio, transport, and cloud. This paper outlines the main challenges, which the 5G transport networks are facing and discusses in more detail data plane, control architectures, and the tradeoff between different network abstraction models.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016
Keywords
5G mobile communication, 5G transport, Optical transport networks, Software defined networking
National Category
Telecommunications
Identifiers
urn:nbn:se:kth:diva-187224 (URN)10.1109/JLT.2016.2524209 (DOI)000374018500008 ()2-s2.0-84963946869 (Scopus ID)
Funder
VINNOVA, "Kista 5G Transport Lab (K5)"EU, FP7, Seventh Framework Programme, UNIFYEU, FP7, Seventh Framework Programme, COMBO
Note

QC 20160518

Available from: 2016-05-18 Created: 2016-05-18 Last updated: 2017-08-15Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-5318-2050

Search in DiVA

Show all publications