References of "Granelli, Fabrizio"
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See detailWhy Energy Matters? Profiling Energy Consumption of Mobile Crowdsensing Data Collection Frameworks
Tomasoni, Mattia; Capponi, Andrea UL; Fiandrino, Claudio UL et al

in Pervasive and Mobile Computing (2018)

Mobile Crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. The citizens actively participate in the sensing process by contributing data ... [more ▼]

Mobile Crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. The citizens actively participate in the sensing process by contributing data with their mobile devices. To produce data, citizens sustain costs, i.e., the energy consumed for sensing and reporting operations. Hence, devising energy efficient data collection frameworks (DCF) is essential to foster participation. In this work, we investigate from an energy-perspective the performance of different DCFs. Our methodology is as follows: (i) we developed an Android application that implements the DCFs, (ii) we profiled the energy and network performance with a power monitor and Wireshark, (iii) we included the obtained traces into CrowdSenSim simulator for large-scale evaluations in city-wide scenarios such as Luxembourg, Turin and Washington DC. The amount of collected data, energy consumption and fairness are the performance indexes evaluated. The results unveil that DCFs with continuous data reporting are more energy-efficient and fair than DCFs with probabilistic reporting. The latter exhibit high variability of energy consumption, i.e., to produce the same amount of data, the associated energy cost of different users can vary significantly. [less ▲]

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See detailProfiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications
Tomasoni, Mattia; Capponi, Andrea UL; Fiandrino, Claudio UL et al

in The 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (IEEE Mobile Cloud 2018) (2018, March)

Mobile crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. In MCS, citizens actively participate in the sensing process by contributing ... [more ▼]

Mobile crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. In MCS, citizens actively participate in the sensing process by contributing data with their smartphones, tablets, wearables and other mobile devices to a collector. As citizens sustain costs while contributing data, i.e., the energy spent from the batteries for sensing and reporting, devising energy efficient data collection frameworks (DCFs) is essential. In this work, we compare the energy efficiency of several DCFs through CrowdSenSim, which allows to perform large-scale simulation experiments in realistic urban environments. Specifically, the DCFs under analysis differ one with each other by the data reporting mechanism implemented and the signaling between users and the collector needed for sensing and reporting decisions. Results reveal that the key criterion differentiating DCFs' energy consumption is the data reporting mechanism. In principle, continuous reporting to the collector should be more energy consuming than probabilistic reporting. However, DCFs with continuous reporting that implement mechanisms to block sensing and data delivery after a certain amount of contribution are more effective in harvesting data from the crowd. [less ▲]

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See detailCost analysis of Smart Lighting Solutions for Smart Cities
Cacciatore, Giuseppe; Fiandrino, Claudio UL; Kliazovich, Dzmitry UL et al

in IEEE International Conference on Communications (ICC), Paris, France, 2017 (2017, May)

Lighting is an essential community service, but current implementations are not energy efficient and impact on the energy budget of the municipalities for at least 40\%. In this paper, we propose ... [more ▼]

Lighting is an essential community service, but current implementations are not energy efficient and impact on the energy budget of the municipalities for at least 40\%. In this paper, we propose heuristics and devise a comparison methodology for new smart lighting solutions in next generation smart cities. The proposed smart lighting techniques make use of Internet of Things (IoT) augmented lamppost, which save energy by turning off or dimming the light according to the presence of citizens. Assessing costs and benefits in adopting the new smart lighting solutions is a pillar step for municipalities to foster real implementation. For evaluation purposes, we have developed a custom simulator which enables the deployment of lampposts in realistic urban environments. The citizens travel on foot along the streets and trigger activation of the lampposts according to the proposed heuristics. For the city of Luxembourg, the results highlight that replacing all existing lamps with LEDs and dimming light intensity according to the presence of users nearby the lampposts is convenient and provides an economical return already after the first year of deployment. [less ▲]

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See detailCrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments
Fiandrino, Claudio UL; Capponi, Andrea UL; Cacciatore, Giuseppe UL et al

in IEEE Access (2017)

Smart cities take advantage of recent ICT developments to provide added value to existing public services and improve quality of life for the citizens. The Internet of Things (IoT) paradigm makes the ... [more ▼]

Smart cities take advantage of recent ICT developments to provide added value to existing public services and improve quality of life for the citizens. The Internet of Things (IoT) paradigm makes the Internet more pervasive where objects equipped with computing, storage and sensing capabilities are interconnected with communication technologies. Because of the widespread diffusion of IoT devices, applying the IoT paradigm to smart cities is an excellent solution to build sustainable Information and Communication Technology (ICT) platforms. Having citizens involved in the process through mobile crowdsensing (MCS) techniques augments capabilities of these ICT platforms without additional costs. For proper operation, MCS systems require the contribution from a large number of participants. Simulations are therefore a candidate tool to assess the performance of MCS systems. In this paper, we illustrate the design of CrowdSenSim, a simulator for mobile crowdsensing. CrowdSenSim is designed specifically for realistic urban environments and smart cities services. We demonstrate the effectiveness of CrowdSenSim for the most popular MCS sensing paradigms (participatory and opportunistic) and we present its applicability using a smart public street lighting scenario. [less ▲]

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See detailEnergy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing
Ragona, Claudio; Fiandrino, Claudio UL; Kliazovich, Dzmitry UL et al

in IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, 2015 (2015, December)

Wearable devices are becoming increasingly popu- lar and are expected to become essential in our everyday life. De- spite continuous improvement of hardware, the lifetime of mobile devices and their ... [more ▼]

Wearable devices are becoming increasingly popu- lar and are expected to become essential in our everyday life. De- spite continuous improvement of hardware, the lifetime of mobile devices and their capabilities still remain a concern. Small size of batteries of smart watches, glasses, helmets and gloves limits the amount of computing, storage and communication resources. Mobile cloud computing can augment the capabilities of wearable devices by helping to execute some of the computing tasks in the cloud. Such computational offloading helps to preserve battery power at the cost of more intensive communications with the cloud. In this paper, we present a model and comprehensive analysis for computational offloading between wearable devices and clouds in realistic setups. [less ▲]

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See detailEnergy efficiency of TCP: An analytical model and its application to reduce energy consumption of the most diffused transport protocol
Usman, Muhammad; Kliazovich, Dzmitry UL; Granelli, Fabrizio et al

in International Journal of Communication Systems (2015)

Energy efficient communications become a challenge for both industries and researchers. Incorporating energy efficiency into the design of network protocols and architectures represents a relevant issue ... [more ▼]

Energy efficient communications become a challenge for both industries and researchers. Incorporating energy efficiency into the design of network protocols and architectures represents a relevant issue in networking research. Currently, very few works address energy efficiency as a fundamental feature of network protocols. This paper benchmarks energy efficiency of TCP to understand the parameters and operational mechanics that determine and contribute to energy consumption. We propose an analytical model with energy consumption to protocol operation cycles and novel optimization techniques for reducing energy consumption of TCP. The evaluation results, obtained from NS2 simulations, demonstrate that even minor modifications of the protocol behavior can bring significant savings of energy. [less ▲]

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See detailModels for Efficient Data Replication in Cloud Computing Datacenters
Boru, Dejene; Kliazovich, Dzmitry UL; Granelli, Fabrizio et al

in IEEE International Conference on Communications (ICC), London, UK, 2015 (2015)

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 ... [more ▼]

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 as well as guide the design of future data replication solutions. [less ▲]

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See detailEnergy Consumption Optimization in Cloud Data Centers
Kliazovich, Dzmitry UL; Bouvry, Pascal UL; Granelli, Fabrizio et al

in Cloud Services, Networking and Management (2015)

Cloud computing data centers are becoming increasingly popular for providing computing resources. However, the expenses of these data centers has skyrocketed with the increase in computing capacity with ... [more ▼]

Cloud computing data centers are becoming increasingly popular for providing computing resources. However, the expenses of these data centers has skyrocketed with the increase in computing capacity with large percentage of the operational expenses due to energy consumption, especially in data centers that are used as backend computing infrastructure for cloud computing. This chapter emphasizes the role of the communication fabric in energy consumption and presents solutions for energy efficient network aware resource allocation in clouds. [less ▲]

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See detailEnergy-efficient Data Replication in Cloud Computing Datacenters
Boru, Dejene; Kliazovich, Dzmitry UL; Granelli, Fabrizio et al

in Cluster Computing (2015), 18(1), 385-402

Cloud computing is an emerging paradigm that provides computing, communication and storage resources as a service over a network. Communication resources often become a bottleneck in service provisioning ... [more ▼]

Cloud computing is an emerging paradigm that provides computing, communication and storage 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. This is in addition to the improved quality of service QoS obtained as a result of the reduced communication delays. The evaluation results, obtained from both mathematical model and extensive simulations, help to unveil performance and energy efficiency tradeoffs as well as guide the design of future data replication solutions. [less ▲]

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See detailAnalysis of an Energy-Efficient MAC Protocol Based on Polling for IEEE 802.11 WLAN
Palacios, Raul; Mekonnen, Gedlu; Alonso-Zarate, Jesus et al

in IEEE International Conference on Communications (ICC), London, UK, June 2015 (2015)

This paper analyzes the performance of a duty-cycled polling-based access mechanism that exploits the Transmission Opportunity Power Save Mode (TXOP PSM) defined in the IEEE 802.11ac to improve the energy ... [more ▼]

This paper analyzes the performance of a duty-cycled polling-based access mechanism that exploits the Transmission Opportunity Power Save Mode (TXOP PSM) defined in the IEEE 802.11ac to improve the energy efficiency of Wireless Local Area Networks (WLANs) based on the IEEE 802.11. The basic idea behind the proposed approach, named GreenPoll, is to enable contention free periods, based on polling with beacons, during which wireless stations can save energy by turning off their radio transceivers after exchanging data with the access point. The closed expression of energy efficiency of GreenPoll is formulated in this paper and is used to evaluate the performance of GreenPoll considering important parameters like the traffic load, packet length, data rate, and number of stations in the network. Both analytical and simulation results show the high energy efficiency of GreenPoll with gains of up to 330% and 110% when compared to the legacy Distributed Coordination Function (DCF) and the Point Coordination Function (PCF) defined in the IEEE 802.11, respectively. [less ▲]

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See detailReverse Direction Transmissions and Network Coding for Energy-Efficient Wi-Fi Networks
Palacios, Raul; Kliazovich, Dzmitry UL; Granelli, Fabrizio

in IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD), Athens, Greece, 2014. (2014)

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See detailTowards Cognitive Internet: an Evolutionary Vision
Granelli, Fabrizio; Kliazovich, Dzmitry UL; Malheiros, Neumar

in Cognitive Radio and Networking for Heterogeneous Wireless Networks (2014)

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See detailAccounting for load variation in energy-efficient data centers
Kliazovich, Dzmitry UL; Arzo, Sisay T.; Granelli, Fabrizio et al

in IEEE International Conference on Communications (ICC), Budapest, Hungary, 2013 (2013)

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See detailCogMAC: a cognitive link layer for wireless local area networks
de Oliveira Filho, Jorgelima; Kliazovich, Dzmitry UL; Granelli, Fabrizio et al

in Wireless Networks (2013), 19(6), 1337-1347

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See detailEnergy Efficiency of an Enhanced DCF Access Method using Bidirectional Communications for Infrastructure-based IEEE 802.11 WLANs
Palacios, Raul; Granelli, Fabrizio; Kliazovich, Dzmitry UL et al

in IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Berlin, Germany, 2013 (2013)

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See detailArchitectures and Information Signaling Techniques for Cognitive Networks
Kliazovich, Dzmitry UL; Granelli, Fabrizio; Fonseca, Nelson L. S. et al

in Architectures and Information Signaling Techniques for Cognitive Networks (2013)

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See detailEnergy-Efficient Data Replication in Cloud Computing Datacenters
Boru, Dejene; Kliazovich, Dzmitry UL; Granelli, Fabrizio et al

in IEEE Globecom 2013 International Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA), Atlanta, GA, USA, 2013 (2013)

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See detailAn energy-efficient point coordination function using bidirectional transmissions of fixed duration for infrastructure IEEE 802.11 WLANs
Palacios, Raul; Granelli, Fabrizio; Gajic, Danica et al

in IEEE International Conference on Communications (ICC), Budapest, Hungary, 2013 (2013)

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See detailAn Energy Efficient Distributed Coordination Function Using Bidirectional Transmissions and Sleep Periods for IEEE 802.11 WLANs
Palacios, Raul; Granelli, Fabrizio; Kliazovich, Dzmitry UL et al

in IEEE Global Communications Conference (GLOBECOM), Atlanta, GA, USA, 2013 (2013)

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See detaile-STAB: Energy-Efficient Scheduling for Cloud Computing Applications with Traffic Load Balancing
Kliazovich, Dzmitry UL; Arzo, Sisay T.; Granelli, Fabrizio et al

in IEEE International Conference on Green Computing and Communications (GreenCom), Beijing, China 2013 (2013)

Detailed reference viewed: 212 (5 UL)