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  • 1.
    Boru, Dejene
    et al.
    Create-Net, Italy.
    Kliazovich, Dzmitry
    University Luxembourg, Luxembourg.
    Granelli, Fabrizio
    DISI University Trento, Italy..
    Bouvry, Pascal
    University Luxembourg, Luxembourg.
    Zomaya, Albert Y.
    University Sydney, Australia.
    Energy-Efficient Data Replication in Cloud Computing Datacenters2013In: 2013 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), IEEE , 2013, p. 446-451Conference paper (Refereed)
    Abstract [en]

    Cloud computing is an emerging paradigm that provides computing resources as a service over a network. Communication resources often become a bottleneck in service provisioning for many cloud applications. Therefore, data replication, which brings data (e.g., databases) closer to data consumers (e.g., cloud applications), is seen as a promising solution. It allows minimizing network delays and bandwidth usage. In this paper we study data replication in cloud computing data centers. Unlike other approaches available in the literature, we consider both energy efficiency and bandwidth consumption of the system, in addition to the improved Quality of Service (QoS) as a result of the reduced communication delays. The evaluation results obtained during extensive simulations help to unveil performance and energy efficiency tradeoffs and guide the design of future data replication solutions.

  • 2.
    Boru, Dejene
    et al.
    Create-Net, Italy.
    Kliazovich, Dzmitry
    University Luxembourg, Luxembourg.
    Granelli, Fabrizio
    University Trento, Italy.
    Bouvry, Pascal
    University Luxembourg, Luxembourg.
    Zomaya, Albert Y.
    University Sydney, Australia.
    Models for Efficient Data Replication in Cloud Computing Datacenters2015In: 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 6056-6061Conference paper (Refereed)
    Abstract [en]

    Cloud computing is a computing model where users access ICT services and resources without regard to where the services are hosted. Communication resources often become a bottleneck in service provisioning for many cloud applications. Therefore, data replication which brings data (e.g., databases) closer to data consumers (e.g., cloud applications) is seen as a promising solution. In this paper, we present models for energy consumption and bandwidth demand of database access in cloud computing datacenter. In addition, we propose an energy efficient replication strategy based on the proposed models, which results in improved Quality of Service (QoS) with reduced communication delays. The evaluation results obtained with extensive simulations help to unveil performance and energy efficiency tradeoffs and guide the design of future data replication solutions.

  • 3.
    Chavez, Karina
    et al.
    Australia.
    Goratti, L
    Italy.
    Rasheed, T.b
    Italy.
    Oljira, Dejene Boru
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Fedrizzi, R.b
    Italy.
    Riggio, R.
    Italy.
    The Evolutionary Role of Communication Technologies in Public Safety Networks2015In: Wireless Public Safety Networks 1: Overview and Challenges, Elsevier, 2015, 1, p. 21-48Chapter in book (Other academic)
    Abstract [en]

    Existing networks for public safety communications are mostly based on systems such as terrestrial trunked radio (TETRA), TETRAPOL and Project 25. These systems are mainly designed to support voice services. However, public safety communication networks are challenged to expand their scope way beyond their original functions toward more sophisticated devices and support new services including packet data communications. Therefore, governments, public safety agencies and research communities are continuously working together and are making significant progresses toward improving public safety communications capabilities. Next-generation mobile technologies are the enablers for meeting the new requirements of the public safety community. Public safety and commercial systems are typically designed and deployed to fulfill different needs and have different requirements, which are directly affecting the quality of service of the communications. The unique and vital nature of public safety affects the technical decisions that are necessary to guarantee connectivity for everyone, anywhere and anytime. For this reason, recent enhancements of the 4G long term evolution (LTE) in the field of public safety communications, such as device-to-device and group communications for mobiles in physical proximity, accrue a great opportunity to bring new services and a high-level of technological innovation to the public safety workers or first responders. We describe and analyze the evolution of public safety communication systems from the technical standpoint providing a complete overview of what is available in the market and a glimpse of future trends. Furthermore, we discuss the challenges to efficiently deploy, operate and interoperate present and future technologies for public safety communication networks and describe how these technologies can help public safety agencies to meet their expectations.

  • 4.
    Gomez, Karina
    et al.
    CREATE-NET, Italy & University Trento, Italy.
    Boru, Dejene
    University Trento, Italy.
    Riggio, Roberto
    CREATE-NET, Italy.
    Rasheed, Tinku
    CREATE-NET, Italy.
    Miorandi, Daniele
    CREATE-NET, Italy.
    Granelli, Fabrizio
    University Trent, Italy.
    Measurement-based modelling of power consumption at wireless access network gateways2012In: Computer Networks, ISSN 1389-1286, E-ISSN 1872-7069, Vol. 56, no 10, p. 2506-2521Article in journal (Refereed)
    Abstract [en]

    Improving the energy efficiency of the ICT sector is becoming an ambitious challenge for industries and research communities alike. Understanding how the energy is consumed in each part of an ICT system becomes fundamental in order to minimize the overall energy consumed by the system itself. In this paper, we propose an experimentally-driven approach to (i) characterize typical wireless access network gateways from an energy consumption standpoint and (ii) develop simple and accurate power consumption models for such gateways. In this work we focused our attention on the monitoring, measurement and analysis of the energy consumption patterns of WiFi and WiMAX gateways. Our measurements show that the power consumption of such gateways exhibits a linear dependence on the traffic until a saturation point is reached.

  • 5.
    Oljira, Dejene Boru
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Brunström, Anna
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT.
    Taheri, Javid
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Grinnemo, Karl-Johan
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Analysis of Network Latency in Virtualized Environments2016In: Global Communications Conference (GLOBECOM), 2016 IEEE, IEEE, 2016Conference paper (Refereed)
    Abstract [en]

    Virtualization is central to cloud computing systems. It abstracts computing resources to be shared among multiple virtual machines (VMs) that can be easily managed to run multiple applications and services. To benefit from the advantages of cloud computing, and to cope with increasing traffic demands, telecom operators have adopted cloud computing. Telecom services and applications are, however, characterized by real-time responsiveness, strict end-to-end latency, and high reliability. Due to the inherent overhead of virtualization, the network performance of applications and services can be degraded. To improve the performance of emerging applications and services that demand stringent end-to-end latency, and to understand the network performance bottleneck of virtualization, a comprehensive performance measurement and analysis is required. To this end, we conducted controlled and detailed experiments to understand the impact of virtualization on end-to-end latency and the performance of transport protocols in a virtualized environment. We also provide a packet delay breakdown in the virtualization layer which helps in the optimization of hypervisor components. Our experimental results indicate that the end-to-end latency and packet delay in the virtualization layer are increased with co-located VMs.

  • 6.
    Oljira, Dejene Boru
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Brunström, Anna
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Taheri, Javid
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Grinnemo, Karl-Johan
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Measurement and Analysis of Network Performance in Virtualized Environments2016In: Proceedings of the 12th Swedish National Computer Networking Workshop (SNCNW), June 2016, Sundsvall, Sweden, 2016Conference paper (Refereed)
  • 7.
    Oljira, Dejene Boru
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Grinnemo, Karl-Johan
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Taheri, Javid
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Brunstrom, Anna
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    A Model for QoS-Aware VNF Placement and Provisioning2017In: Network Function Virtualization and Software Defined Networks (NFV-SDN), 2017 IEEE Conference on / [ed] IEEE, IEEE, 2017Conference paper (Refereed)
    Abstract [en]

    Network Function Virtualization (NFV) is a promising solution for telecom operators and service providers to improve business agility, by enabling a fast deployment of new services, and by making it possible for them to cope with the increasing traffic volume and service demand. NFV enables virtualization of network functions that can be deployed as virtual machines on general purpose server hardware in cloud environments, effectively reducing deployment and operational costs. To benefit from the advantages of NFV, virtual network functions (VNFs) need to be provisioned with sufficient resources and perform without impacting network quality of service (QoS). To this end, this paper proposes a model for VNFs placement and provisioning optimization while guaranteeing the latency requirements of the service chains. Our goal is to optimize resource utilization in order to reduce cost satisfying the QoS such as end- to-end latency. We extend a related VNFs placement optimization with a fine-grained latency model including virtualization overhead. The model is evaluated with a simulated network and it provides placement solutions ensuring the required QoS guarantees. 

  • 8.
    Oljira, Dejene Boru
    et al.
    University of Trento, Italy.
    Kliazovich, Dzmitry
    University of Luxembourg, Luxembourg.
    Bouvry, Pascal
    University of Luxembourg, Luxembourg.
    Granelli, Fabrizio
    University of Trento, Italy.
    Zomaya, Albert Y.
    University of Sydney, Australia.
    Energy-efficient data replication in cloud computing datacenters2015In: Cluster Computing, ISSN 1386-7857, E-ISSN 1573-7543, Vol. 18, no 1, p. 385-402Article in journal (Refereed)
  • 9.
    Riggio, Roberto
    et al.
    CREATE NET, Italy.
    Boru, Dejene
    Create-Net, Italy.
    Rasheed, Tinku
    CREATE NET, Italy.
    Joule: Software-Defined Energy Metering2014In: 2014 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (NOMS), IEEE, 2014Conference paper (Refereed)
    Abstract [en]

    In this demo we present Joule, a software enabling real-time power consumption monitoring of networking devices without having to deploy physical meters in the form of, for example, managed Power-Over-Ethernet supplies. We will demonstrate how Joule can estimate the power consumption of commercial WiFi Access Points by exploiting observable network statistics and under different workloads, e.g. browsing, video streaming, and background FTP traffic. An interactive web dashboard will allow attendees to have a first hand experience on the correlation between traffic and power consumption.

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