2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud)最新文献_第3页

Ensuring Information Security for Internet of Things 确保物联网信息安全

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.17

N. Miloslavskaya, A. Tolstoy

引用次数: 6

Cloud Task Scheduling Based on Swarm Intelligence and Machine Learning 基于群体智能和机器学习的云任务调度

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.52

Gaith Rjoub, J. Bentahar

引用次数: 17

Exploring Live Cloud Migration on Amazon EC2 探索Amazon EC2上的实时云迁移

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.20

I. Mansour, A. Bouchachia, K. Cooper

{"title":"Exploring Live Cloud Migration on Amazon EC2","authors":"I. Mansour, A. Bouchachia, K. Cooper","doi":"10.1109/FiCloud.2017.20","DOIUrl":"https://doi.org/10.1109/FiCloud.2017.20","url":null,"abstract":"Cloud users may decide to live migrate their virtual machines from a public cloud provider to another due to a lower cost or ceasing operations. Currently, it is not possible to install a second virtualization platform on public cloud infrastructure (IaaS) because nested virtualization and hardwareassisted virtualization are disabled by default. As a result, cloud users' VMs are tightly coupled to providers IaaS hindering live migration of VMs to different providers. This paper introduces LivCloud, a solution to live cloud migration. LivCloud is designed based on well-established criteria to live migrate VMs across various cloud IaaS with minimal interruption to the services hosted on these VMs. The paper discusses the basic design of LivCloud which consists of a Virtual Machine manager and IPsec VPN tunnel introduced for the first time within this environment. It is also the first time that the migrated VM architecture (64-bit & 32-bit) is taken into consideration. In this study, we evaluate the implementation of the basic design of LivCloud on Amazon EC2 C4 instance. This instance has a compute optimized instance and has high performance processors. In particular we explore three developed options. Theses options are being tested for the first time on EC2 to change the value of the EC2 instance's control registers. Changing the values of the registers will significantly help enable nested virtualization on Amazon EC2.","PeriodicalId":115925,"journal":{"name":"2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123006302","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}

引用次数: 2

Secure and Reliable Internet of Things Systems for Healthcare 安全可靠的医疗保健物联网系统

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.50

G. Pulkkis, Jonny Karlsson, M. Westerlund, Jonas Tana

引用次数: 12

GreenCloudTax: A Flexible IaaS Tax Approach as Stimulus for Green Cloud Computing 绿色云税:一种灵活的IaaS税收方法作为绿色云计算的刺激

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.45

Benedikt Pittl, W. Mach, E. Schikuta

引用次数: 1

An Intersection Dynamic VANET Routing Protocol for a Grid Scenario 网格场景下的交叉口动态VANET路由协议

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.19

Ahmad Abuashour, M. Kadoch

{"title":"An Intersection Dynamic VANET Routing Protocol for a Grid Scenario","authors":"Ahmad Abuashour, M. Kadoch","doi":"10.1109/FiCloud.2017.19","DOIUrl":"https://doi.org/10.1109/FiCloud.2017.19","url":null,"abstract":"Vehicular Ad-Hoc NETworks (VANETs) have received considerable attention in recent years, due to its unique characteristics, which are different from Mobile Ad-Hoc NETworks (MANETs), such as rapid topology change, frequent link failure, and high vehicle mobility. The main drawback of VANETs network is the network instability, which yields to reduce the network efficiency. This paper proposes a novel Intersection Dynamic VANET Routing (IDVR) protocol, which aims to increase the route stability, average throughput, and reduce end-to-end delay in a grid topology. We used a centralized Software Defined Network (SDN) to gather a real-time traffic information and provide the Intersection Cluster Head (ICH) a Set of Candidate Shortest Routes (SCSR). At the Intersection, An ICH algorithm is proposed based on the maximum Life Time (LT), the LT is the time that each vehicle requires till it leaves the cluster. The IDVR protocol selects the optimal route based on its current location, destination location, and the maximum of the minimum average throughput among the SCSR. We used SUMO traffic generator simulator and MATLAB to evaluate the performance of our proposed protocol. Our proposed protocol outperforms many protocols mentioned in the literature, such as IRTIV, VDLA, and GPCR, in terms of end-to-end delay and throughput.","PeriodicalId":115925,"journal":{"name":"2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116487619","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}

引用次数: 7

Performance Modelling and Analysis of an OpenStack IaaS Cloud Computing Platform OpenStack IaaS云计算平台性能建模与分析

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.54

Kabiru M. Maiyama, D. Kouvatsos, Bashir Mohammed, M. Kiran, M. Kamala

{"title":"Performance Modelling and Analysis of an OpenStack IaaS Cloud Computing Platform","authors":"Kabiru M. Maiyama, D. Kouvatsos, Bashir Mohammed, M. Kiran, M. Kamala","doi":"10.1109/FiCloud.2017.54","DOIUrl":"https://doi.org/10.1109/FiCloud.2017.54","url":null,"abstract":"Performance is one of the main aspects that should be taken into consideration during the design, development, tuning and optimisation of computer networks supported by cloud computing platforms (CCPs). Queueing network models (QNMs) of CCPs constitute essential quantitative tools of investigation towards identifying acceptable levels of quality-of-service (QoS), whether for upgrading an existing CCP or designing a new one. In this paper, a new stable open QNM with either single or multiple server queueing stations, first-come-first-served (FCFS) scheduling and random routing is proposed for the performance modelling and analysis of an OpenStack Infrastructure as a Service (IaaS) CCP. In this context, it is assumed that the external arrival process is Poisson and the queueing stations provide exponentially distributed service times. Based on Jackson's Theorem, the open QNM is decomposed into individual M/M/c queues with c server(s) (c ≥ 1) and exponential inter-arrival and service times, each of which can be analysed in isolation. Consequently, closed form expressions for key performance metrics of the QNM are determined, such as those for the mean response time, throughput, server (resource) utilisation and the probability of the number of requests by clients at each queueing station during waiting for and/or receiving resource provisioning. The evaluation of these metrics identifies the bottlenecks of the CCP that are causing the worst network delays and associated performance degradation and thus, provides insights into the capacity planning of networks with OpenStack IaaS solutions for CSPs.","PeriodicalId":115925,"journal":{"name":"2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"23 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124134608","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}

引用次数: 5

DLP as an Integral Part of Network Security Intelligence Center DLP是网络安全智能中心的重要组成部分

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.15

N. Miloslavskaya, V. Morozov, A. Tolstoy, Dennis Khassan

引用次数: 3

P-Spar(k)ql: SPARQL Evaluation Method on Spark GraphX with Parallel Query Plan P-Spar(k)ql:基于并行查询计划的Spark GraphX的SPARQL评估方法

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.48

G. Gombos, A. Kiss

{"title":"P-Spar(k)ql: SPARQL Evaluation Method on Spark GraphX with Parallel Query Plan","authors":"G. Gombos, A. Kiss","doi":"10.1109/FiCloud.2017.48","DOIUrl":"https://doi.org/10.1109/FiCloud.2017.48","url":null,"abstract":"The Semantic Data are built from triples, that contain subjects, predicates and objects. On the other hand we can consider the triples as edges. The subject and the object are the nodes and the predicate is the label of the edge. In this view the Semantic Data define a graph. This graph can be very large, because a Semantic Dataset contains millions of triples. To query this dataset we can use the SPARQL query language. Since the Big Data tools appeared the researchers try to evaluate the SPARQL with that tools. In the last few year the distributed graph analytic tools appeared too. So the challenge is: use the graph analytic tools to evaluate the semantic query on the semantic graph. In this paper we present the PSparkql that extends the Sparkql with parallel query plan. The system uses the Spark GraphX distributed graph analytic tool. We show less edges enough for the evaluation than the Sparkql is using. We also collect some statistics (number of predicates, data properties) about the graph to change the evaluation order of the SPARQL query. We compare our results with related works: the Sparkql and the S2X.","PeriodicalId":115925,"journal":{"name":"2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"1999 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120970537","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}

引用次数: 6

Proposal of Adaptive Data Rate Algorithm for LoRaWAN-Based Infrastructure 基于lorawan基础架构的自适应数据速率算法的提出

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2017-08-01 DOI: 10.1109/FiCloud.2017.47

Vojtech Hauser, Tomás Hégr

引用次数: 47