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Ada-copy: An Adaptive Memory Copy Strategy for Virtual Machine Live Migration 23

Ada-copy: An Adaptive Memory Copy Strategy for Virtual Machi...

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23rd IEEE international conference on Parallel and distributed systems (ICPADS)

作者： Wang, Zhong Xue, Guangtao Qian, Shiyou Liu, Gongshen Li, Minglu Cao, Jian Yu, Jiadi Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Inst Adv Commun & Data Sci Shanghai Peoples R China

ISBN: (纸本)9781538621295

In the cloud computing architecture, virtual machine (VM) live migration is a fundamental research topic which has drawn extensive attention from communities of industry and academy. It is critical to transfer the VM memory pages that contain essential state information to resume the VM on another host during virtual machine (VM) live migration. There are many memory copy methods, such as pre-copy and postcopy. However, these methods have two limitations: application generality and performance imbalance. In this paper, we propose Ada-copy (adaptive copy), an adaptive memory copy strategy for VM live migration. The basic idea of Ada-copy is that the memory copy method of a VM should be determined by its workload characteristics. Specifically, based on the variation of current dirty page rate of memory, Ada-copy can adaptively select the most appropriate migration method to copy memory pages, thus addressing the two limitations of existing memory copy methods. To evaluate the effectiveness of our proposed strategy, we experiment with the Ada-copy on a variety of migration tasks with different dirty page rate and diverse memory usage workloads. Evaluation results show, compared with traditional methods, Ada-copy can significantly reduce the total migration time by 26%, the VM downtime by 42% and the amount of pages transferred by 35% in average.

关键词： cloud computing live migration dirty page rate virtual machine memory copy strategy

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Privacy-Aware Routing Approach for Mobile Applications

Privacy-Aware Routing Approach for Mobile Applications

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23rd international conference on Advanced Information Networking and Applications workshops

作者： Aleksy, Markus Butter, Thomas ABB Corporate Research Center Germany Industrial Software and Applications Germany Department of Information Systems University of Mannheim Germany

ISBN: (纸本)9781424440009

The advances in wireless communication and mobile computing make new types of applications possible. In this context, users' navigation becomes one of the most popular applications. The existing approaches to compute a route are either server- or client-based. The first one computes the route on a server and sends back the result to the mobile device. The second one computes it directly on the mobile device. Both approaches are related to some pros and cons. In this paper we propose anew combined approach supporting the privacy of the user while maintaining the data accuracy at the same time.

关键词： Mobile computing

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Research of Seismic Streaming Storage Based on Druid 23

Research of Seismic Streaming Storage Based on Druid

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Gao, Bing Chen, Jie Zou, Qijie Qin, Jing School of Information Engineering Dalian University Dalian Key Laboratory of Smart Medical and Health Dalian China School of Software Engineerin Dalian University Dalian Key Laboratory of Smart Medical and Health Dalian China

ISBN: (纸本)9781665494571

Along with the growth of seismic observation networks, the amount of seismic observation data is also increasing rapidly with the form of fast arrival stream, and it is an important and challenging task to store seismic data in time. However, two bottlenecks (slow read/write speed, poor user concurrency) still make the practical applications difficult. We proposes an Apache Druid-based storage solution for seismic observation data streams. The solution is more adaptable to the read/write requirement of large-scale seismic data streams. Specifically, we achieve real-time observation for two aspects: (I) using Kafka as a distributed message exchange system;and (II) implementing accesses and exchange with massive seismic stream data onto the Kafka indexing service provided by Druid. The experimental results show that the Druid-based temporal data storage solution has better stream input and real-time query performance compared with the existed Hbase storage method. © 2021 IEEE.

关键词： Concurrent computing Smart cities Time series analysis Memory distributed databases Real-time systems Task analysis

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High Resource Utilization Auto-Scaling Algorithms for Heterogeneous Container Configurations 23

High Resource Utilization Auto-Scaling Algorithms for Hetero...

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23rd IEEE international conference on Parallel and distributed systems (ICPADS)

作者： Cheng, Yi-Lin Lin, Ching-Chi Liu, Pangfeng Wu, Jan-Jan Natl Taiwan Univ Dept Comp Sci & Informat Engn Taipei Taiwan Natl Taiwan Univ Grad Inst Networking & Multimedia Taipei Taiwan Acad Sinica Inst Informat Sci Taipei Taiwan

ISBN: (纸本)9781538621295

Auto-scaling is a technique that allocates resources according to dynamic workload. This paper focuses on autoscaling with heterogeneous container configurations. The goal is to minimize the cost of container adjustments, and to reduce the resource insufficiency penalty, while maintaining high resource utilization. It is extremely difficult to achieve the minimal cost without knowing the future workloads in advance. Thus, we first propose an optimal dynamic programming algorithm that can scale optimally when given the future workload. This optimal solution is used as the baseline to evaluate other algorithms that do not have the future workload information. Then, we propose two greedy algorithms that do not need workload information in advance, and a heuristic algorithm that first predicts the workload of the next time step using Gradient Boosting Regression, then makes scaling decisions using the optimal dynamic programming algorithm. We evaluate these four algorithms with two realistic workload traces. The experiments show that when the cost to start new servers is much higher than resource insufficiency penalty, our short-term prediction approach will only increase the total cost by only 9.6%, and decrease the utilization by only 10%, when compared with the optimal dynamic programming that knows the future workload.

关键词： Auto-scaling Cloud computing Container Resource utilization

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Rethinking Multicore Application Scalability on Big Virtual Machines 23

Rethinking Multicore Application Scalability on Big Virtual ...

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23rd IEEE international conference on Parallel and distributed systems (ICPADS)

作者： Shan, Jianchen Jia, Weiwei Ding, Xiaoning New Jersey Inst Technol Dept Comp Sci Newark NJ 07102 USA

ISBN: (纸本)9781538621295

Virtual machine (VM) sizes keep increasing in the cloud. However, little attention has been paid to analyze and understand the scalability of multicore applications on big VMs with multiple virtual CPUs (VCPUs), assuming that application scalability on VMs can be analyzed in the same ways as that on physical machines (PMs). The paper demonstrates that, since hardware CPU resource is dynamically allocated to VCPUs, the executions of multicore applications on VMs show different scalability from those on PMs. The paper systematically studies how the virtualization of CPU resource changes execution scalability, identifies key application features and system factors that affect execution scalability on VMs, and investigates possible directions to improve scalability. The paper presents a few important findings. First, the execution scalability of applications on VMs is determined by different factors than those on PMs. Second, virtualization and resource sharing can improve scalability by nature. Thus, applications may show better scalability on VMs than on PMs. Linear scalability can be achieved even when there is substantial sequential computation. Third, there is still much space to further improve execution scalability by enhancing system designs. Better scalability can be achieved by increasing allocation period length and/or matching resource allocation and workload distribution.

关键词： scalability multicore virtual machine cloud computing resource sharing

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Making Use of a Smart Fog Hub to Develop New Services in Airports 1

引用

23rd international conference on Parallel and distributed computing (Euro-Par)

作者： Salis, Antonio Mancini, Glauco Engn Sardegna Srl SS195 Km 2 I-09123 Cagliari Italy

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

The EC H2020 mF2C Project aims at developing a software framework that enables the orchestration of resources and communication at Fog level, as an extension of Cloud computing and interacting with the IoT. In order to show the project functionalities and added-values three real world Use Cases have been chosen. This paper introduces the mF2C Use case 3: Smart Fog Hub Service (SFHS), in the context of an airport, with the objective of proving that great potential value and different business opportunities can be created in physical environments with a great concentration of smart objects, to showcase the wide range of scenarios on which mF2C can impact, validate the project in industrial events and determine a massive interest of relevant stakeholders.

关键词： Cloud computing Fog computing Fog-to-cloud distributed systems IoT B2B Airports

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Randomized Load Balancing under Loosely Correlated State Information in Fog computing 20

Randomized Load Balancing under Loosely Correlated State Inf...

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23rd international conference on Modeling Analysis and Simulation of Wireless and Mobile systems

作者： Beraldi, Roberto Canali, Claudia Lancellotti, Riccardo Mattia, Gabriele Proietti Sapienza Univ Rome Rome Italy Univ Modena & Reggio Emilia Modena Italy

ISBN: (纸本)9781450381178

Fog computing infrastructures must support increasingly complex applications where a large number of sensors send data to intermediate fog nodes for processing. As the load in such applications (as in the case of a smart cities scenario) is subject to significant fluctuations both over time and space, load balancing is a fundamental task. In this paper we study a fully distributed algorithm for load balancing based on random probing of the neighbors' status. A qualifying point of our study is considering the impact of delay during the probe phase and analyzing the impact of stale load information. We propose a theoretical model for the loss of correlation between actual load on a node and stale information arriving to the neighbors. Furthermore, we analyze through simulation the performance of the proposed algorithm considering a wide set of parameters and comparing it with an approach from the literature based on random walks. Our analysis points out under which conditions the proposed algorithm can outperform the alternatives.

关键词： Fog computing Load Balancing Probe-based Algorithm

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Multi-Modal Vehicle Data Delivery via Commercial 5G Mobile Networks: An Initial Study 43

Multi-Modal Vehicle Data Delivery via Commercial 5G Mobile N...

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43rd IEEE international conference on distributed computing systems (ICDCS)

作者： Carpenter, Jason Ye, Wei Qian, Feng Zhang, Zhi-Li Univ Minnesota Twin Cities Minneapolis MN 55455 USA

ISBN: (纸本)9798350328127

Support for connected and autonomous vehicles (CAVs) is a major use case of 5G networks. Due to their large from factors, CAVs can be equipped with multiple radio antennas, cameras, LiDAR and other sensors. In other words, they are "giant" mobile integrated communications and sensing devices. The data collected can not only facilitate edge-assisted autonomous driving, but also enable intelligent radio resource allocation by cellular networks. In this paper we conduct an initial study to assess the feasibility of delivering multi-modal sensory data collected by vehicles over emerging commercial 5G networks. We carried out an "in-the-wild" drive test and data collection campaign between Minneapolis and Chicago using a vehicle equipped with a 360 degrees camera, a LiDAR device, multiple smart phones and a professional 5G network measurement tool. Using the collected multi-modal data, we conduct trace-driven experiments in a local streaming testbed to analyze the requirements and performance of streaming multi-modal sensor data over existing 4G/5G networks. We reveal several notable findings and point out future research directions.

关键词： 5G Autonomous Vehicles Edge computing

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Creating Meta Attack Language Instances using ArchiMate: Applied to Electric Power and Energy System Cases 23

Creating Meta Attack Language Instances using ArchiMate: App...

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IEEE 23rd international Enterprise distributed Object computing Workshop (EDOCW)

作者： Hacks, Simon Hacks, Alexander Katsikeas, Sotirios Klaer, Benedikt Lagerstrom, Robert Rhein Westfal TH Aachen Res Grp Software Construct Aachen Germany Univ Duisburg Essen Duisburg Germany KTH Royal Inst Technol Network & Syst Engn Stockholm Sweden Rhein Westfal TH Aachen Inst High Voltage Technol Aachen Germany

ISBN: (纸本)9781728127026

Cyber-attacks on power assets can have disastrous consequences for individuals, regions, and whole nations. In order to respond to these threats, the assessment of power grids' and plants' cyher security can foster a higher degree of safety for the whole infrastructure dependent on power. Hitherto, we propose the use of attack simulations based on system architecture models. To reduce the effort of creating new attack graphs for each system of a given type, domain-specific attack languages may be employed. They codify common attack logics of the considered domain. Previously, MAL (the Meta Attack Language) was proposed, which serves as a framework to develop domain specific attack languages. We extend the tool set of MAL by developing an approach to model security domains in ArchiMate notation. Next, those models are used to create a MAL instance, which reflects the concepts modeled in ArchiMate. These instances serve as input to simulate attacks on certain systems. To show the applicability of our approach, we conduct two case studies in the power domain. On the one hand, we model a thermal power plant and possible attacks on it. On the other hand, we use the attack on the Ukrainian power grid for our case study.

关键词： Meta Attack Language threat modeling attack simulation Domain Specific Language ArchiMate electric power and energy systems

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2019 23rd international conference on System Theory, Control and computing, ICSTCC 2019 - Proceedings

2019 23rd International Conference on System Theory, Control...

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23rd international conference on System Theory, Control and computing, ICSTCC 2019

ISBN: (纸本)9781728106991

The proceedings contain 149 papers. The topics discussed include: analysis of a class of hyperbolic systems via data-driven Koopman operator;low-dimension robust computational algorithm for a linear distributed parameter water hammer model;data-driven neural feedforward controller design for industrial linear motors;SDRE based stabilization of the affine control system with the stationary linear part;optimal linear regulator with prescribed poles minimizing the Frobenius norm of a cost function;an optimal model-following problem for linear systems with variable disturbances;smart driving methodology for connected cars;and recommender system for board games.

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