2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W)最新文献_第2页

Function Multiverses for Dynamic Variability 动态可变性的多重函数

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.15

Valentin Rothberg, Christian J. Dietrich, Alexander Graf, D. Lohmann

引用次数: 1

IoT Security Framework for Smart Cyber Infrastructures 智能网络基础设施物联网安全框架

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.58

J. Pacheco, S. Hariri

{"title":"IoT Security Framework for Smart Cyber Infrastructures","authors":"J. Pacheco, S. Hariri","doi":"10.1109/FAS-W.2016.58","DOIUrl":"https://doi.org/10.1109/FAS-W.2016.58","url":null,"abstract":"The Internet of Things (IoT) will connect not only computers and mobile devices, but it will also interconnect smart buildings, homes, and cities, as well as electrical grids, gas, and water networks, automobiles, airplanes, etc. IoT will lead to the development of a wide range of advanced information services that need to be processed in real-time and require data centers with large storage and computing power. The integration of IoT with Cloud and Fog Computing can bring not only the required computational power and storage capacity, but they enable IoT services to be pervasive, cost-effective, and can be accessed from anywhere using any device (mobile or stationary). However, IoT infrastructures and services will introduce grand security challenges due to the significant increase in the attack surface, complexity, heterogeneity and number of resources. In this paper, we present an IoT security framework for smart infrastructures such as Smart Homes (SH) and smart buildings (SB). We also present a general threat model that can be used to develop a security protection methodology for IoT services against cyber-attacks (known or unknown). Additionally, we show that Anomaly Behavior Analysis (ABA) Intrusion Detection System (ABA-IDS) can detect and classify a wide range of attacks against IoT sensors.","PeriodicalId":382778,"journal":{"name":"2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122738397","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: 159

Five Object-Oriented Design Principles to Improve the Quality of Self-Adaptivity Using MAPE Loops 使用MAPE循环提高自适应质量的五个面向对象设计原则

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.31

C. Raibulet

引用次数: 0

CloudAware: A Context-Adaptive Middleware for Mobile Edge and Cloud Computing Applications CloudAware:移动边缘和云计算应用的上下文自适应中间件

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.54

Gabriel Orsini, Dirk Bade, W. Lamersdorf

{"title":"CloudAware: A Context-Adaptive Middleware for Mobile Edge and Cloud Computing Applications","authors":"Gabriel Orsini, Dirk Bade, W. Lamersdorf","doi":"10.1109/FAS-W.2016.54","DOIUrl":"https://doi.org/10.1109/FAS-W.2016.54","url":null,"abstract":"The widespread use of mobile devices such as smartphones and tablets is accompanied by an ever increasing market for mobile applications, including resource demanding services like speech-or face recognition, that formerly were restricted to stationary devices. But as mobile devices remain comparatively limited in terms of resources (e.g., computation, storage and battery life), current approaches for augmentation have advocated the integration of cloud servers as well as other nearby devices to provide scalable computation-and storage resources to mobile end users. A current solution is the so-called computation offloading, which is the most prominent strategy used in Mobile Cloud Computing (MCC) and its successor known as Mobile Edge Computing (MEC). While MCC and MEC are receiving increasing attention, current work is often not able to cope with the quickly and constantly changing context (e.g., intermittent connectivity) of mobile devices. Therefore, this paper presents the evaluation of CloudAware, a context-adaptive mobile middleware for MCC as well as MEC that supports automated context adaptation by linking the distribution features of mobile middleware with context-aware self-adaptation techniques. In particular, we present a system software infrastructure and a data mining process which facilitate the development of elastic, scalable and context-adaptive mobile applications and present their evaluation using real usage data provided by the Nokia Mobile Data Challenge (MDC) dataset.","PeriodicalId":382778,"journal":{"name":"2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115879153","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: 43

Utilizing Progressive File Layout Leveraging SSDs in HPC Cloud Environments 在HPC云环境中利用渐进式文件布局利用ssd

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.30

Donghun Koo, Jik-Soo Kim, Soonwook Hwang, Hyeonsang Eom, J. Lee

{"title":"Utilizing Progressive File Layout Leveraging SSDs in HPC Cloud Environments","authors":"Donghun Koo, Jik-Soo Kim, Soonwook Hwang, Hyeonsang Eom, J. Lee","doi":"10.1109/FAS-W.2016.30","DOIUrl":"https://doi.org/10.1109/FAS-W.2016.30","url":null,"abstract":"With the advent of HPC (High-Performance Computing) Cloud, storage systems based on parallel file systems such as Lustre have become one of important components to support various types of workloads from many users having different storage access patterns. One of the solutions to adapt to such various I/O access patterns is Progressive File Layout (PFL) which can adjust the chunk size and stripe pattern dynamically according to the I/O traffics. However, PFL still has a performance limitation to the small file I/O due to the HDD specific hardware characteristics. In this paper, we propose an optimized Progressive File Layout (PFL) method which can effectively leverage a combination of SSDs and HDDs to support mixed sizes of I/O workloads. By dynamically directing relatively small file I/O operations into the SSD based storage devices, our framework can significantly improve the performance. We have performed a comparative analysis of our PFL on SSDs in Lustre file system with PFL on HDDs and vanilla Lustre configuration with HDDs. Experimental results from various workloads with mixed sizes of I/O threads on our testbed show that the proposed PFL on SSDs can achieve enhanced total I/O throughput by more than six times compared to conventional solutions.","PeriodicalId":382778,"journal":{"name":"2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W)","volume":"604 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123235835","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: 3

Adaptive Task Reallocation for Airborne Sensor Sharing 机载传感器共享的自适应任务再分配

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.46

J. Beal, K. Usbeck, J. Loyall, Mason Rowe, J. Metzler

引用次数: 7

Application Orchestration in Mobile Edge Cloud: Placing of IoT Applications to the Edge 移动边缘云中的应用程序编排:将物联网应用程序放置到边缘

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.56

Attila Hegyi, H. Flinck, István Ketykó, Pekka Kuure, Csaba Nemes, Lajos Pinter

引用次数: 40

A Dynamic Verification Mechanism for Real-Time Self-Adaptive Systems 实时自适应系统的动态验证机制

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.62

Hiroki Tsuda, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya

引用次数: 0

An Energy-Aware Service Function Chaining and Reconfiguration Algorithm in NFV 一种能量感知的NFV业务功能链和重构算法

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.24

S. Kim, Yunjung Han, Sungyong Park

{"title":"An Energy-Aware Service Function Chaining and Reconfiguration Algorithm in NFV","authors":"S. Kim, Yunjung Han, Sungyong Park","doi":"10.1109/FAS-W.2016.24","DOIUrl":"https://doi.org/10.1109/FAS-W.2016.24","url":null,"abstract":"With the advances of network function virtualization (NFV) and cloud computing technologies, a number of network services are implemented across data centers by chaining different virtual network functions (VNFs) running on virtual machines. Since these VNFs consume a large amount of resources and power from underlying physical machines, the service function chaining (SFC) algorithm should be carefully designed in order to meet the QoS requirements of users and minimize the power consumptions. This paper proposes an energy-aware SFC algorithm that allows users to meet their service latency requirements, while minimizing the energy consumption at the same time. The proposed algorithm is also dynamic in a sense that the SFC path can be reconfigured when the energy consumption of idle servers exceeds a pre-defined threshold of the total energy consumption. We use genetic algorithm (GA) to formulate this problem because it is a variation of the multi-constrained path selection problem known as NP-complete. The benchmarking results show that the proposed approach outperforms other existing studies by as much as 13.4% and reduces both the idle and overall energy consumptions by reconfiguring SFC path.","PeriodicalId":382778,"journal":{"name":"2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132497486","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: 21

A Runtime Variability Mechanism Based on Supertypes 基于超类型的运行时可变性机制

2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2016-09-01 DOI: 10.1109/FAS-W.2016.16

Rafael Capilla, Alejandro Valdezate, Francisco J. Díaz

引用次数: 4