| 1. |
- Alay, Özgü, et al.
(författare)
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Experience : An open platform for experimentation with commercial mobile broadband networks
- 2017
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Ingår i: MobiCom '17 Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking. - New York : Association for Computing Machinery (ACM). - 9781450349161 ; , s. 70-78
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Konferensbidrag (refereegranskat)abstract
- Open experimentation with operational Mobile Broadband (MBB) networks in the wild is currently a fundamental requirement of the research community in its endeavor to address the need of innovative solutions for mobile communications. Even more, there is a strong need for objective data about stability and performance of MBB (e.g., 3G/4G) networks, and for tools that rigorously and scientifically assess their status. In this paper, we introduce the MONROE measurement platform: an open access and flexible hardware-based platform for measurements and custom experimentation on operational MBB networks. The MONROE platform enables accurate, realistic and meaningful assessment of the performance and reliability of 11 MBB networks in Europe. We report on our experience designing, implementing and testing the solution we propose for the platform. We detail the challenges we overcame while building and testing the MONROE testbed and argue our design and implementation choices accordingly. We describe and exemplify the capabilities of the platform and the wide variety of experiments that external users already perform using the system
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| 2. |
- Alay, Özgü, et al.
(författare)
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Measuring and Assessing Mobile Broadband Networks with MONROE
- 2016
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Ingår i: 2016 IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks (WoWMoM). - Red Hook : IEEE. - 9781509021864 - 9781509021857
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Konferensbidrag (refereegranskat)abstract
- Mobile broadband (MBB) networks underpin numerous vital operations of the society and are arguably becoming the most important piece of the communications infrastructure. In this demo paper, our goal is to showcase the potential of a novel multi-homed MBB platform for measuring, monitoring and assessing the performance of MBB services in an objective manner. Our platform, MONROE, is composed of hundreds of nodes scattered over four European countries and a backend system that collects the measurement results. Through a user-friendly web client, the experimenters can schedule and deploy their experiments. The platform further embeds traffic analysis tools for real-time traffic flow analysis and a powerful visualization tool.
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| 3. |
- Alay, Özgü, et al.
(författare)
-
MONROE, a distributed platform to measure and assess mobile broadband networks : demo
- 2016
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Ingår i: Proceedings of the Tenth ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation, and Characterization. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450342520 ; , s. 85-86
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Konferensbidrag (refereegranskat)abstract
- This demo presents the MONROE distributed platform and how it can be used to implement measurement and assessment experiments with operational mobile broadband networks (MBBs). MONROE provides registered experimenters with open access to hundreds of nodes, distributed over several European countries and equipped with multiple MBB connections, and a backend system that collects the measurement results. Experiments are scheduled through a user-friendly web client, with no need to directly access the nodes. The platform further embeds tools for real-time traffic flow analysis and a powerful visualization tool.
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| 4. |
- Bogdanov, Kirill, et al.
(författare)
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The Nearest Replica Can Be Farther Than You Think
- 2015
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Ingår i: Proceedings of the ACM Symposium on Cloud Computing 2015. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 16-29
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Konferensbidrag (refereegranskat)abstract
- Modern distributed systems are geo-distributed for reasons of increased performance, reliability, and survivability. At the heart of many such systems, e.g., the widely used Cassandra and MongoDB data stores, is an algorithm for choosing a closest set of replicas to service a client request. Suboptimal replica choices due to dynamically changing network conditions result in reduced performance as a result of increased response latency. We present GeoPerf, a tool that tries to automate the process of systematically testing the performance of replica selection algorithms for geodistributed storage systems. Our key idea is to combine symbolic execution and lightweight modeling to generate a set of inputs that can expose weaknesses in replica selection. As part of our evaluation, we analyzed network round trip times between geographically distributed Amazon EC2 regions, and showed a significant number of daily changes in nearestK replica orders. We tested Cassandra and MongoDB using our tool, and found bugs in each of these systems. Finally, we use our collected Amazon EC2 latency traces to quantify the time lost due to these bugs. For example due to the bug in Cassandra, the median wasted time for 10% of all requests is above 50 ms.
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| 5. |
- Bogdanov, Kirill, et al.
(författare)
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Toward Automated Testing of Geo-Distributed Replica Selection Algorithms
- 2015
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Ingår i: Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 89-90
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Konferensbidrag (refereegranskat)abstract
- Many geo-distributed systems rely on a replica selection algorithms to communicate with the closest set of replicas. Unfortunately, the bursty nature of the Internet traffic and ever changing network conditions present a problem in identifying the best choices of replicas. Suboptimal replica choices result in increased response latency and reduced system performance. In this work we present GeoPerf, a tool that tries to automate testing of geo-distributed replica selection algorithms. We used GeoPerf to test Cassandra and MongoDB, two popular data stores, and found bugs in each of these systems.
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| 6. |
- Bogdanov, Kirill, et al.
(författare)
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Toward Automated Testing of Geo-Distributed Replica Selection Algorithms
- 2015
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Ingår i: Computer communication review. - : Association for Computing Machinery (ACM). - 0146-4833 .- 1943-5819. ; 45:4, s. 89-90
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Tidskriftsartikel (refereegranskat)abstract
- Many geo-distributed systems rely on a replica selection algorithms to communicate with the closest set of replicas. Unfortunately, the bursty nature of the Internet traffic and ever changing network conditions present a problem in identifying the best choices of replicas. Suboptimal replica choices result in increased response latency and reduced system performance. In this work we present GeoPerf, a tool that tries to automate testing of geo-distributed replica selection algorithms. We used GeoPerf to test Cassandra and MongoDB, two popular data stores, and found bugs in each of these systems.
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| 7. |
- De Giovanni, Elisabetta, et al.
(författare)
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Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors
- 2021
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Ingår i: IEEE Transactions on Emerging Topics in Computing. - 2168-6750. ; 9:4, s. 1654-1666
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Tidskriftsartikel (refereegranskat)abstract
- In the recent Internet-of-Things (IoT) era where biomedical applications require continuous monitoring of relevant data, edge computing keeps gaining more and more importance. These new architectures for edge computing include multi-core and parallel computing capabilities that can enable prevention diagnosis and treatment of diseases in ambulatory or home-based setups. In this article, we explore the benefits of the parallelization capabilities and computing heterogeneity of new wearable sensors in the context of a personalized online atrial fibrillation (AF) prediction method for daily monitoring. First, we apply optimizations to a single-core design to reduce energy, based on patient-specific training models. Second, we explore multi-core and memory banks configuration changes to adapt the computation and storage requirements to the characteristics of each patient. We evaluate our methodology on the Physionet Prediction Challenge (2001) publicly available database, and assess the energy consumption of single-core (ARM Cortex-M3 based) and new ultra-low power multi-core architectures (open-source RISC-V based) for next-generation of wearable platforms. Overall, our exploration at the application level highlights that a parallelization approach for personalized AF in multi-core wearable sensors enables energy savings up to 24% with respect to single-core sensors. Moreover, including the adaptation of the memory subsystem (size and number of memory banks), in combination with deep sleep energy saving modes, can overall provide total energy savings up to 34%, depending on the specific patient.
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| 8. |
- Mancuso, Vincenzo, et al.
(författare)
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Results from running an experiment as a service platform for mobile broadband networks in Europe
- 2019
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Ingår i: Computer Communications. - : Elsevier. - 0140-3664 .- 1873-703X. ; 33, s. 89-101
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Tidskriftsartikel (refereegranskat)abstract
- In this article we present a selection from a vast range of experiments run with MONROE, our open experiment as a service (EaaS) platform for measurements and experimentation in Mobile Broadband Networks. We show that the platform can be used to benchmark network performance in a repeatable and controlled manner thanks to the collection of a rich set of geotagged metadata and the execution of discretionary user experiments. Indeed, with the sheer amount of data collected from 12 commercial mobile operators across Europe, MONROE offers an unprecedented opportunity to monitor, analyze and ultimately improve the status of current and future mobile broadband networks. Besides, we show how flexibly the platform allows combining metadata and experimental data series during the experiments or by means of post-processing, and show results produced by our own experiments as well as comment on results obtained by external research groups and developers that have been granted access to our platform.
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| 9. |
- Peón-Quirós, Miguel, et al.
(författare)
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Results from Running an Experiment as a Service Platform for Mobile Networks
- 2017
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Ingår i: WiNTECH '17 Proceedings of the 11th Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization. - New York, USA : Association for Computing Machinery (ACM). - 9781450351478 ; , s. 9-16
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Konferensbidrag (refereegranskat)abstract
- In this paper we present a selection from a vast range of experiments run with MONROE, our experiment as a service platform open to external researchers. We show that the platform can be used to benchmark network performance in a repeatable and controlled manner thanks to the collection of a rich set of geotagged metadata and the execution of discretionary user experiments. Indeed, with the sheer amount of data collected from 12 commercial mobile operators across Europe, MONROE offers an unprecedented opportunity to monitor, analyze and ultimately improve the status of current and future mobile broadband networks. We also show how flexibly the platform allows combining metadata and experimental data series during the experiments or by means of post-processing, and show results produced by our own experiments as well as by external research groups and developers that have been granted access to the platform
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