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Publications (10 of 27) Show all publications
Fazio, M., Ranjan, R., Girolami, M., Taheri, J., Dustdar, S. & Villari, M. (2018). A Note on the Convergence of IoT, Edge, and Cloud Computing in Smart Cities. IEEE Cloud Computing, 5(5), 22-24
Open this publication in new window or tab >>A Note on the Convergence of IoT, Edge, and Cloud Computing in Smart Cities
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2018 (English)In: IEEE Cloud Computing, ISSN 2325-6095, Vol. 5, no 5, p. 22-24Article in journal (Refereed) Published
Abstract [en]

The purpose of the special issue is to cover all aspects of design and implementation, as well as deployment and evaluation of solutions aimed at the osmotic convergence of IoT, edge, and cloud computing, with specific reference to the smart cities application scenario.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-70068 (URN)10.1109/MCC.2018.053711663 (DOI)000447944400004 ()
Available from: 2018-11-08 Created: 2018-11-08 Last updated: 2019-03-14Bibliographically approved
Gokan Khan, M., Taheri, J., Kassler, A. & Darula, M. (2018). Automated Analysis and Profiling of VirtualNetwork Functions: the NFV-Inspector Approach. In: : . Paper presented at IEEE Conference on Network Function Virtulization and Software defined Networks, Verona, Italy, oct 2018.
Open this publication in new window or tab >>Automated Analysis and Profiling of VirtualNetwork Functions: the NFV-Inspector Approach
2018 (English)Conference paper (Refereed)
Keywords
Network Function Virtualization, Profiling, Classification
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-71388 (URN)
Conference
IEEE Conference on Network Function Virtulization and Software defined Networks, Verona, Italy, oct 2018
Projects
NFV Optimizer, 5276
Funder
Knowledge Foundation
Note

Available from: 2019-02-28 Created: 2019-02-28 Last updated: 2019-02-28
Taheri, J. (Ed.). (2018). Big Data and Software Defined Networks (1ed.). London: The Institution of Engineering and Technology
Open this publication in new window or tab >>Big Data and Software Defined Networks
2018 (English)Collection (editor) (Refereed)
Place, publisher, year, edition, pages
London: The Institution of Engineering and Technology, 2018. p. 504 Edition: 1
Keywords
bandwidth allocation; software defined networking; information analysis; resource allocation; Big Data; message passing
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-67208 (URN)10.1049/PBPC015E (DOI)978-1-78561-304-3 (ISBN)978-1-78561-305-0 (ISBN)
Available from: 2018-04-27 Created: 2018-04-27 Last updated: 2018-06-25Bibliographically approved
Cho, D., Bastani, S., Taheri, J. & Zomaya, A. Y. (2018). Big Data helps SDN to optimize its controllers (1ed.). In: Javid Taheri (Ed.), Big Data and Software Defined Networks: (pp. 389-408). London: The Institution of Engineering and Technology
Open this publication in new window or tab >>Big Data helps SDN to optimize its controllers
2018 (English)In: Big Data and Software Defined Networks / [ed] Javid Taheri, London: The Institution of Engineering and Technology , 2018, 1, p. 389-408Chapter in book (Refereed)
Abstract [en]

In this chapter, we first discuss the basic features and recent issues of the SDN control plane, notably the controller element. Then, we present feasible ideas to address the SDN controller-related problems using Big Data analytics techniques. Accordingly, we propose that Big Data can help various aspects of the SDN controller to address scalability issue and resiliency problem. Furthermore, we proposed six applicable scenarios for optimizing the SDN controller using the Big Data analytics: (i) controller scale-up/out against network traffic concentration, (ii) controller scale-in for reduced energy usage, (iii) backup controller placement for fault tolerance and high availability, (iv) creating backup paths to improve fault tolerance, (v) controller placement for low latency between controllers and switches, and (vi) flow rule aggregation to reduce the SDN controller's traffic. Although real-world practices on optimizing SDN controllers using Big Data are absent in the literature, we expect scenarios we highlighted in this chapter to be highly applicable to optimize the SDN controller in the future.

Place, publisher, year, edition, pages
London: The Institution of Engineering and Technology, 2018 Edition: 1
Keywords
telecommunication traffic; computer network reliability; Big Data; fault tolerance; data analysis; software defined networking
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-67215 (URN)10.1049/PBPC015E_ch19 (DOI)978-1-78561-304-3 (ISBN)978-1-78561-305-0 (ISBN)
Available from: 2018-04-27 Created: 2018-04-27 Last updated: 2018-06-26Bibliographically approved
Deng, S., Xiang, Z., Yin, J., Taheri, J. & Zomaya, A. Y. (2018). Composition-Driven IoT Service Provisioning in Distributed Edges. IEEE Access, 6, 54258-54269
Open this publication in new window or tab >>Composition-Driven IoT Service Provisioning in Distributed Edges
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2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 54258-54269Article in journal (Refereed) Published
Abstract [en]

The increasing number of Internet of Thing (IoT) devices and services makes it convenient for people to sense the real world and makes optimal decisions or complete complex tasks with them. However, the latency brought by unstable wireless networks and computation failures caused by constrained resources limit the development of IoT. A popular approach to solve this problem is to establish an IoT service provision system based on a mobile edge computing (MEC) model. In the MEC model, plenty of edge servers are placed with access points via wireless networks. With the help of cached services on edge servers, the latency can be reduced, and the computation can be offloaded. The cache services must be carefully selected so that many requests can by satisfied without overloading resources in edge servers. This paper proposes an optimized service cache policy by taking advantage of the composability of services to improve the performance of service provision systems. We conduct a series of experiments to evaluate the performance of our approach. The result shows that our approach can improve the average response time of these IoT services.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018
Keywords
Mobile edge computing, Internet of Thing, service provisioning, service composition
National Category
Computer and Information Sciences
Research subject
Mathematics; Computer Science
Identifiers
urn:nbn:se:kau:diva-70056 (URN)10.1109/ACCESS.2018.2871475 (DOI)000448016000001 ()
Available from: 2018-11-07 Created: 2018-11-07 Last updated: 2018-11-23Bibliographically approved
Casas, I., Taheri, J., Ranjan, R., Wang, L. & Zomaya, A. (2018). GA-ETI: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environments. Journal of Computational Science, 26, 318-331
Open this publication in new window or tab >>GA-ETI: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environments
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2018 (English)In: Journal of Computational Science, ISSN 1877-7503, E-ISSN 1877-7511, Vol. 26, p. 318-331Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Cloud computing; Scientific workflow; Scheduling algorithms; Genetic algorithm; Virtual machine
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-45845 (URN)10.1016/j.jocs.2016.08.007 (DOI)000438001600033 ()
Available from: 2016-09-12 Created: 2016-09-12 Last updated: 2018-08-16Bibliographically approved
Oljira, D. B., Grinnemo, K.-J., Taheri, J. & Brunström, A. (2018). MDTCP: Towards a Practical Multipath Transport Protocol for Telco Cloud Datacenters. In: 9th International Conference on the Network of the Future (NOF): . Paper presented at 9th International Conference on the Network of the Future (NOF)19-21 nov 2018 (pp. 9-16). IEEE
Open this publication in new window or tab >>MDTCP: Towards a Practical Multipath Transport Protocol for Telco Cloud Datacenters
2018 (English)In: 9th International Conference on the Network of the Future (NOF), IEEE, 2018, p. 9-16Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Network congestion, MPTCP, ECN, TCP, 5G, Telco cloud, NFV, latency, cloud, datacenter
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-67241 (URN)10.1109/NOF.2018.8598129 (DOI)000458801700002 ()978-1-5386-8503-7 (ISBN)
Conference
9th International Conference on the Network of the Future (NOF)19-21 nov 2018
Projects
HITS
Available from: 2018-04-30 Created: 2018-04-30 Last updated: 2019-03-14Bibliographically approved
Nguyen, V.-G., Grinnemo, K.-J., Taheri, J. & Brunström, A. (2018). On Load Balancing for a Virtual and Distributed MME in the 5G Core. In: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC): . Paper presented at 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
Open this publication in new window or tab >>On Load Balancing for a Virtual and Distributed MME in the 5G Core
2018 (English)In: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018Conference paper (Refereed)
Abstract [en]

In this paper, we aim at tackling the scalability problem of the Mobility Management Entity (MME), which plays a crucial role of handling control plane traffic in the current 4G Evolved Packet Core as well as the next generation mobile core, 5G. One of the solutions to this problem is to virtualize the MME by applying Network Function Virtualization principles and then deploy it as a cluster of multiple virtual MME instances (vMMEs) with a front-end load balancer. Although several designs have been proposed, most of them assume the use of simple algorithms such as random and round-robin to balance the incoming traffic without any performance assessment. To this end, we implemented a weighted round robin algorithm which takes into account the heterogeneity of resources such as the capacity of vMMEs. We compare this algorithm with a random and a round-robin algorithm under two different system settings. Experimental results suggest that carefully selected load balancing algorithms can significantly reduce the control plane latency as compared to simple random or round-robin schemes.

Keywords
5G, MME, Load Balancing, Scalability, Open5GCore
National Category
Computer Sciences Telecommunications
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-67242 (URN)10.1109/PIMRC.2018.8580693 (DOI)000457761900011 ()978-1-5386-6010-2 (ISBN)978-1-5386-6009-6 (ISBN)
Conference
2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Projects
HITS, 4707
Funder
Knowledge Foundation
Available from: 2018-04-30 Created: 2018-04-30 Last updated: 2019-02-21
Johansson, D., Kassler, A. & Taheri, J. (2018). On the Energy Cost of Robustness and Resiliency for Virtual Network Function Placement. In: : . Paper presented at IEEE Conference on Network Function Virtualization and Software Defined Networks, 27-29 November 2018, Verona, Italy.
Open this publication in new window or tab >>On the Energy Cost of Robustness and Resiliency for Virtual Network Function Placement
2018 (English)Conference paper, Published paper (Refereed)
National Category
Computer Sciences Telecommunications
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-71485 (URN)
Conference
IEEE Conference on Network Function Virtualization and Software Defined Networks, 27-29 November 2018, Verona, Italy
Projects
NFV Opimizer
Funder
Knowledge Foundation
Available from: 2019-03-13 Created: 2019-03-13 Last updated: 2019-03-22Bibliographically approved
Li, Y., Zhang, D., Taheri, J. & Li, K. (2018). SDN components and OpenFlow (1ed.). In: Javid Taheri (Ed.), Big Data and Software Defined Networks: (pp. 49-68). London: The Institution of Engineering and Technology
Open this publication in new window or tab >>SDN components and OpenFlow
2018 (English)In: Big Data and Software Defined Networks / [ed] Javid Taheri, London: The Institution of Engineering and Technology , 2018, 1, p. 49-68Chapter in book (Refereed)
Abstract [en]

Today's Internet suffers from ever-increasing challenges in scalability, mobility, and security, which calls for deep innovations on network protocols and infrastructures. However, the distributed controlling mechanism, especially the bundle of control plane and the data plane within network devices, sharply restricts such evolutions. In response, the software-defined networking (SDN), an emerging networking paradigm, proposes to decouple the control and data planes, producing logically centralized controllers, simple yet efficient forwarding devices, and potential abilities in functionalities programming. This chapter presents a short yet comprehensive overview of SDN components and the OpenFlow protocol on basis of both classic and latest literatures. The topics range from fundamental building blocks, layered architectures, novel controlling mechanisms, and design principles and efforts of OpenFlow switches.

Place, publisher, year, edition, pages
London: The Institution of Engineering and Technology, 2018 Edition: 1
Keywords
computer network reliability; software defined networking; protocols
National Category
Computer Sciences
Identifiers
urn:nbn:se:kau:diva-67211 (URN)10.1049/PBPC015E_ch3 (DOI)978-1-78561-304-3 (ISBN)978-1-78561-305-0 (ISBN)
Available from: 2018-04-27 Created: 2018-04-27 Last updated: 2018-06-25Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-9194-010X

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