Robert Norvill, Beltran Borja Fiz Pontiveros, R. State, A. Cullen
{"title":"Visual emulation for Ethereum's virtual machine","authors":"Robert Norvill, Beltran Borja Fiz Pontiveros, R. State, A. Cullen","doi":"10.1109/NOMS.2018.8406332","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406332","url":null,"abstract":"In this work we present E-EVM, a tool that emulates and visualises the execution of smart contracts on the Ethereum Virtual Machine. By working with the readily available bytecode of smart contracts we are able to display the program's control flow graph, opcodes and stack for each step of contract execution. This tool is designed to aid the user's understanding of the Etheruem Virtual Machine as well as aid the analysis of any given smart contract. As such, it functions as both an analysis and a learning tool. It allows the user to view the code in each block of a smart contract and follow possible control flow branches. It is able to detect loops and suggest optimisation candidates. It is possible to step through a contract one opcode at a time. E-EVM achieved an average of 85.6% code coverage when tested.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76269053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ermias Andargie Walelgne, J. Manner, Vaibhav Bajpai, J. Ott
{"title":"Analyzing throughput and stability in cellular networks","authors":"Ermias Andargie Walelgne, J. Manner, Vaibhav Bajpai, J. Ott","doi":"10.1109/NOMS.2018.8406261","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406261","url":null,"abstract":"The throughput of a cellular network depends on a number of factors such as radio technology, limitations of device hardware (e.g., chipsets, antennae), physical layer effects (interference, fading, etc.), node density and demand, user mobility, and the infrastructure of Mobile Network Operators (MNO). Therefore, understanding and identifying the key factors of cellular network performance that affect end-users experience is a challenging task. We use a dataset collected using netradar, a platform that measures cellular network performance crowd- sourced from mobile user devices. Using this dataset we develop a methodology (a classifier using a machine learning approach) for understanding cellular network performance. We examine key characteristics of cellular networks related to throughput from the perspective of mobile user activity, MNO, smartphone models, link stability, location and time of day. We perform a network-wide correlation and statistical analysis to obtain a basic understanding of the influence of individual factors. We use a machine learning approach to identify the important features and to understand the relationship between different ones. These features are then used to build a model to classify the stability of cellular network based on the data reception characteristics of the user. We show that it is possible to classify reasons for network instability using minimal cellular network metrics with up to 90% of accuracy.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"58 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84702230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Antoine Messager, G. Parisis, R. Harper, P. Tee, I. Kiss, L. Berthouze
{"title":"Network events in a large commercial network: What can we learn?","authors":"Antoine Messager, G. Parisis, R. Harper, P. Tee, I. Kiss, L. Berthouze","doi":"10.1109/NOMS.2018.8406289","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406289","url":null,"abstract":"ISP and commercial networks are complex and thus difficult to characterise and manage. Network operators rely on a continuous flow of event log messages to identify and handle service outages. However, there is little published information about such events and how they are typically exploited. In this paper, we describe in as much detail as possible the event logs and network topology of a major commercial network. Through analysing the network topology, textual information of events and time of events, we highlight opportunities and challenges brought by such data. In particular, we suggest that the development of methods for inferring functional connectivity could unlock more of the informational value of event log messages and assist network management operators.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87170593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Telephony Denial of Service defense at data plane (TDoSD@DP)","authors":"Aldo Febro, Hannan Xiao, Joseph Spring","doi":"10.1109/NOMS.2018.8406281","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406281","url":null,"abstract":"The Session Initiation Protocol (SIP) is an application-layer control protocol used to establish and terminate calls that are deployed globally. A flood of SIP INVITE packets sent by an attacker causes a Telephony Denial of Service (TDoS) incident, during which legitimate users are unable to use telephony services. Legacy TDoS defense is typically implemented as network appliances and not sufficiently deployed to enable early detection. To make TDoS defense more widely deployed and yet affordable, this paper presents TDoSD@DP where TDoS detection and mitigation is programmed at the data plane so that it can be enabled on every switch port and therefore serves as distributed SIP sensors. With this approach, the damage is isolated at a particular switch and bandwidth saved by not sending attack packets further upstream. Experiments have been performed to track the SIP state machine and to limit the number of active SIP session per port. The results show that TDoSD@DP was able to detect and mitigate ongoing INVITE flood attack, protecting the SIP server, and limiting the damage to a local switch. Bringing the TDoS defense function to the data plane provides a novel data plane application that operates at the SIP protocol and a novel approach for TDoS defense implementation.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87361731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cachalot: A network-aware, cooperative cache network for geo-distributed, data-intensive applications","authors":"Fan Jiang, C. Castillo, S. Ahalt","doi":"10.1109/NOMS.2018.8406273","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406273","url":null,"abstract":"Collaborative and data-intensive applications are hosted on geo-distributed infrastructures to exploit computing resources at scale. However, these applications typically incur massive data transfers over bandwidth-constrained wide- area networks (WANs) which impose significant performance overhead. Conventional distributed computing platforms (e.g., Spark) leverage caching to avoid duplicate executions of common computations and thus reduce network traffic. However, these techniques were developed for data center environments and therefore lack advanced network-aware mechanisms to support high-performance, data-intensive applications over the WAN in geo-distributed environments. Hence, we develop Cachalot - a novel network-aware, cooperative cache network for caching datasets generated by common computations shared among geo- distributed, data-intensive applications. We perform a simulation- based deep evaluation using both synthetic and real traces. The experimental results indicate Cachalot speeds up data-intensive applications by over 50%, reducing network traffic by up to 60%; and, outperforms state-of-the-art baselines by over 20% in geo-distributed environments for various common user-driven performance metrics.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"5 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89813106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bogdan-Mihai Andrus, A. Autenrieth, T. Szyrkowiec, J. Olmos, I. Monroy
{"title":"Evaluation and experimental demonstration of SDN-enabled flexi-grid optical domain controller based on NETCONF/YANG","authors":"Bogdan-Mihai Andrus, A. Autenrieth, T. Szyrkowiec, J. Olmos, I. Monroy","doi":"10.1109/NOMS.2018.8406170","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406170","url":null,"abstract":"Flexible spectrum assignment in Elastic Optical Networks (EON) has emerged as a potential solution for allowing dynamic and elastic management of available bandwidth resources. In this paper, we demonstrate and evaluate our developed flexi-grid optical domain controller based on NETCONF/YANG. Our proposed modular architecture, based on Finite State Machines (FSMs), allows the flexibility to deploy the controller either in a centralized or in a distributed state for on the fly encrypted device management connections. A testbed composed of two physical Sliceable Bandwidth Variable Transponders (SBVTs) and an emulated flexi-grid optical network was used for our software evaluation. Controller startup and synchronization time, as well as media channel setup time are evaluated to compare the two deployment options and assess network scaling effects. Results demonstrate that our software is scalable by maintaining a relatively constant startup time on the networks tested (i.e., 1 to 64 nodes) in both deployment options. Software scalability is also supported by the media channel setup time, which presents a modest log scale growth when increasing the number of nodes from one to 64.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"98 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77029476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu-Chen Hsieh, Hua-Jun Hong, P. Tsai, Yu-Rong Wang, Qiuxi Zhu, Md Yusuf Sarwar Uddin, N. Venkatasubramanian, Cheng-Hsin Hsu
{"title":"Managed edge computing on Internet-of-Things devices for smart city applications","authors":"Yu-Chen Hsieh, Hua-Jun Hong, P. Tsai, Yu-Rong Wang, Qiuxi Zhu, Md Yusuf Sarwar Uddin, N. Venkatasubramanian, Cheng-Hsin Hsu","doi":"10.1109/NOMS.2018.8406133","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406133","url":null,"abstract":"We demonstrate a managed edge computing platform for Internet-of-Things (IoT) devices, which supports dynamic deployment of virtualized containers running distributed analytics. We build a model city, and install multiple Raspberry Pis as minions, and a mini PC as the master. Through the web dashboard on the master, we show how users can remotely monitor, manage, and upgrade the IoT analytics and devices. Multiple concrete IoT analytics, namely: (i) air quality monitor, (ii) sound classifier, and (iii) image recognizer are demonstrated. Several sample measurements on deployment speed, Quality-of- Service (QoS) achievements, and event-driven mechanisms are also carried out on the testbed.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"34 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2018-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91473650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neeraj Asthana, Tom Chefalas, A. Karve, A. Segal, Mahika Dubey, Sai Zeng
{"title":"A declarative approach for service enablement on hybrid cloud orchestration engines","authors":"Neeraj Asthana, Tom Chefalas, A. Karve, A. Segal, Mahika Dubey, Sai Zeng","doi":"10.1109/NOMS.2018.8406175","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406175","url":null,"abstract":"The rapidly increasing complexity and scale of hybrid cloud environments requires improved service management capabilities in orchestration and automation. Current methods focus on provisioning infrastructure but lack functionality for consistently enabling and performing operational activities on managed services. We propose a data-driven approach to dynamically generate Orchestration Engine plugins from service descriptor metadata. Our approach extends Orchestration Engines by representing managed services as code within reusable blueprints in order to accelerate service deployments and ease management activities. In our work, we provide a data model and system architecture to allow service providers to easily author and publish resource definitions for a wide range of public and private services. These definitions may be combined into solution blueprints, forming a declarative and reusable representation of a managed workload. After provisioning a workload, administrators can view service instance data and invoke operational activities. For evaluation, we describe the authoring and orchestration of a hybrid cloud workload and discuss the strengths of our solution versus current methods.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"96 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75428483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Load-aware potential-based routing for the edge communication of smart grid with content-centric network","authors":"Xiaotong Wang, Lanlan Rui, Hui Guo, Xue-song Qiu","doi":"10.1109/NOMS.2018.8406187","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406187","url":null,"abstract":"With the development of Internet of Things, there are more and more devices and applications at the edge of the smart grid. To enhance the quality of service, further processing of the smart grid to achieve load balancing is regarded as a critical step. The most interesting element in smart grid communications is data itself regardless of the data source. The emergency of Content-Centric network (CCN) just meets the demands and addresses the problems. First we model the smart grid with Content-Centric Network, and concentrate on the edge communication. Then we propose a load-aware potential-based routing (LAPBR) algorithm and evaluate its performances. The simulations results demonstrate the stability and robustness of LAPBR.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"30 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74522485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}