2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)最新文献_第2页

Transaction-aware SSD Cache Allocation for the Virtualization Environment 虚拟化环境中支持事务感知的SSD缓存分配

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00029

Zhen Tang, Heng Wu, Lei Sun, Zhongshan Ren, Wei Wang, Wei Zhou, Liang Yang

{"title":"Transaction-aware SSD Cache Allocation for the Virtualization Environment","authors":"Zhen Tang, Heng Wu, Lei Sun, Zhongshan Ren, Wei Wang, Wei Zhou, Liang Yang","doi":"10.1109/SOSE.2018.00029","DOIUrl":"https://doi.org/10.1109/SOSE.2018.00029","url":null,"abstract":"Flash-based Solid State Disk (SSD) is widely used in the Internet-based virtual computing environment, usually as cache of the hard disk drive-based virtual machine (VM) storage. Existing SSD caching schemes mainly treat the VMs as independent units and focus on critical performance metrics concerning one single VM, such as the IO latency, throughput, or the cache miss rate. However, in the Internet-based virtual computing environment, one transactional application usually consists of multiple VMs on different hypervisors. Transaction-aware SSD caching schemes may potentially better improve the end user-perceived quality of service. The key insight here is to utilize the relationships among VMs inside the transactional application to better guide the allocation of the SSD cache, so as to help learn the pattern of workload changes and build adaptive SSD caching schemes. To this end, we propose the Transaction-Aware SSD caching (TA-SSD), which takes the characteristics of transactions into consideration, uses closed loop adaptation to react to changing workload, and introduces the genetic algorithm to enable nearly optimal planning. The evaluation shows that comparing to the equally partitioned cache, the allocation produced by the TA-SSD can boost the performance by up to 40%, with dynamic changes in the intensity and the type of the workload.","PeriodicalId":414464,"journal":{"name":"2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133861627","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

A Data Distribution Service for Cloud and Containerized Storage Based on Information Dispersal 一种基于信息分散的云存储和容器存储数据分发服务

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00020

Pablo Morales-Ferreira, Miguel Santiago-Duran, Cristopher Gaytan-Diaz, J. L. González, Víctor Jesús Sosa Sosa, I. Lopez-Arevalo

{"title":"A Data Distribution Service for Cloud and Containerized Storage Based on Information Dispersal","authors":"Pablo Morales-Ferreira, Miguel Santiago-Duran, Cristopher Gaytan-Diaz, J. L. González, Víctor Jesús Sosa Sosa, I. Lopez-Arevalo","doi":"10.1109/SOSE.2018.00020","DOIUrl":"https://doi.org/10.1109/SOSE.2018.00020","url":null,"abstract":"Information dispersal is a fault-tolerant technique where files of size |F| are split into n redundant pieces of size |F|/k that are dispersed to different servers where k pieces suffice for recovering the original file whenever k<n. This technique is a popular solution for service providers to withstand server failures and to improve the storage utilization. However, the coding/decoding service time produced by this technique as well as the management of pieces of heterogeneous size, that belong to different files, represent both a challenge for the deployment of this technique on clouds and clusters. This paper presents the design and development of a data distribution service for fault-tolerant cloud/cluster storage. This service includes an information dispersal client for coding/decoding files in-memory, which improves the service experience of end-users when delivering/retrieving files to/from cloud storage services. It also includes a data placement method to allocate, locate and manage redundant pieces of heterogeneous size in a uniform manner, which produces load balancing in the storage nodes. A prototype of this service was implemented in a private cloud and containerized cluster. An experimental evaluation based on synthetic traces and a case study based on satellite images revealed that the service prototype preserved a balanced load even in scenarios when managing pieces of heterogeneous size and that, when performing coding/decoding in-memory, the service experience of end-users was improved in comparison with tested traditional solutions.","PeriodicalId":414464,"journal":{"name":"2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124073875","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: 10

TZ-KMS: A Secure Key Management Service for Joint Cloud Computing with ARM TrustZone 基于ARM TrustZone的联合云计算安全密钥管理服务TZ-KMS

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00030

Shiyu Luo, Zhichao Hua, Yubin Xia

{"title":"TZ-KMS: A Secure Key Management Service for Joint Cloud Computing with ARM TrustZone","authors":"Shiyu Luo, Zhichao Hua, Yubin Xia","doi":"10.1109/SOSE.2018.00030","DOIUrl":"https://doi.org/10.1109/SOSE.2018.00030","url":null,"abstract":"The key management service (KMS) has become a fundamental component of cloud computing. For enforce security, existing clouds usually deploy a centralized KMS protected by specialized hardware, i.e., hardware security module (HSM), which is exclusively controlled by the cloud provider. Joint cloud computing (JointCloud) is a new architecture of cloud computing, which makes the best use of the advantage of different clouds. However, in JointCloud, different cloud providers have their respective KMS. Thus it is impossible for one user’s different applications in different clouds to share the same key in different KMS. The key stored in KMS will be unreachable after the application is migrated to a new cloud, which makes the encrypted data being unusable. To address these problems, we introduce TZ-KMS which provides a trusted distributed key management service with ARM TrustZone technology. We locate a TZ-KMS instance in the secure world (a trusted execution environment provided by ARM TrustZone) of each machine, and the instance handles requests from the user application. A distributed key management method is further provided to synchronize user keys among different TZ-KMS instances. TZ-KMS allows one user’s applications, located in different clouds, to share the same key management service securely. User keys are still reachable after the application is migrated to a new cloud. We have implemented a prototype of TZ-KMS, and the evaluation shows that our system has a good performance and scalability.","PeriodicalId":414464,"journal":{"name":"2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125535399","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: 4

A Case of Automatically Deploying and Scaling Out Distributed Systems on the Cloud from Scratch 一个从头开始在云上自动部署和扩展分布式系统的案例

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00039

Yehong Zhong, Junming Ma, Bo An, Donggang Cao

引用次数: 0

Opportunities and Challenges Towards Cognitive IT Service Management in Real World 现实世界中认知IT服务管理的机遇与挑战

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00028

F. Meng, Jingmin Xu, Xiao Zhang, L. Yang, Pengfei Chen, Y. Wang, Xiaoxi Liu, Naga Ayachitula, K. Murthy, L. Shwartz, George M. Galambos, Zhuo Su, Jun Zheng

{"title":"Opportunities and Challenges Towards Cognitive IT Service Management in Real World","authors":"F. Meng, Jingmin Xu, Xiao Zhang, L. Yang, Pengfei Chen, Y. Wang, Xiaoxi Liu, Naga Ayachitula, K. Murthy, L. Shwartz, George M. Galambos, Zhuo Su, Jun Zheng","doi":"10.1109/SOSE.2018.00028","DOIUrl":"https://doi.org/10.1109/SOSE.2018.00028","url":null,"abstract":"More and more industries are experiencing digital disruption triggered by new technologies for example cloud, mobile, Internet-of-Things, Big Data, and Artificial Intelligence. Majority of applications are predicted to provide cognitive capabilities to amplify human skills and expertise in coming two years. Information Technology (IT) services industry is also shifting from people-led and technology-assisted model into a people-assisted and technology-led model. However, the ever-changing IT technologies, increasingly complicated IT environments, and ever-shortening IT delivery cycles in real world pose great challenges to existing IT Service Management (ITSM) technologies. This paper aims to discuss the trends, opportunities, and challenges in transformation of real-world ITSM in cognitive era and to trigger more practical research work in this exploited area. It firstly reviews the evolution of ITSM and discusses key technologies behind the evolution. Then, it summarizes opportunities and challenges in transforming ITSM with cognitive capabilities in real word. Further, we discuss key enabling technologies to drive the evolution of ITSM towards Cognitive one. Finally, we conclude the paper and envision real-world best practices in this area.","PeriodicalId":414464,"journal":{"name":"2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133175306","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: 1

Traffic Differentiation on Internet of Things 物联网的流量分化

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00026

Thiago Garrett, S. Dustdar, L. C. E. Bona, E. P. Duarte

{"title":"Traffic Differentiation on Internet of Things","authors":"Thiago Garrett, S. Dustdar, L. C. E. Bona, E. P. Duarte","doi":"10.1109/SOSE.2018.00026","DOIUrl":"https://doi.org/10.1109/SOSE.2018.00026","url":null,"abstract":"The Internet of Things (IoT) is expected to constitute a significant portion of the Internet in the future, both in terms of traffic, and market share. For it to achieve its full potential, innovative solutions are necessary to address several open challenges. In this context we discuss Network Neutrality, which states that all traffic in the Internet must be treated equally, i.e., without traffic differentiation (TD). Unfair traffic management may result in a non-competitive market, affecting selectively the quality of experience of different IoT applications. This scenario might hinder innovation, threatening IoT success. Monitoring TD on the IoT is thus important for a more competitive market. In this paper, we first study the impact of TD on common IoT traffic patterns, such as periodic updates and real-time notifications. We present simulation results, and discuss which types of IoT applications are most affected by TD. We then discuss a solution for monitoring TD on IoT. The solution takes advantage of the IoT to address several open challenges of TD detection. For instance, the large amount of devices results in a prolific environment for making TD-related measurements. The solution can thus employ machine learning for continuously monitoring TD as the numerous IoT devices and applications communicate.","PeriodicalId":414464,"journal":{"name":"2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124675841","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

A Cluster Feature Based Approach for QoS Prediction in Web Service Recommendation Web服务推荐中基于聚类特征的QoS预测方法

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00041

Shuhong Chen, Yuxing Peng, Haibo Mi, Changjian Wang, Zhen Huang

引用次数: 13

A Hybrid Approach for Predicting Aging-Related Failures of Software Systems 预测软件系统老化相关故障的混合方法

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00021

Jingwei Li, Yong Qi, Lin Cai

{"title":"A Hybrid Approach for Predicting Aging-Related Failures of Software Systems","authors":"Jingwei Li, Yong Qi, Lin Cai","doi":"10.1109/SOSE.2018.00021","DOIUrl":"https://doi.org/10.1109/SOSE.2018.00021","url":null,"abstract":"Software aging is a chronic process that is hidden under system monitoring until a system failure occurs. Aging related failures (ARFs) are the result of a variety of complex factors. Therefore, how to precisely predict the ARFs for a running software system is a challenge problem. Previous studies typically predict ARFs by means of predicting the time to resource exhaustion (TTE), which adopts resource data as aging indicators to predict when the resource data achieve the preset threshold. However, the practical effect of prior approaches are far from satisfactory due to lack of effective aging indicators and difficult to set accurate threshold. In this paper, we propose a hybrid approach, which combines model and measurements to construct a probabilistic aging indicator. The aging indicator is a multifactorial aging indicator that is more effective than traditional ones. Moreover, the hybrid approach is threshold-free in ARFs prediction. We evaluate the hybrid approach in Data caching system and Media streaming system, the results show that the hybrid approach can achieve high precision and recall for ARFs prediction. Compared to previous approaches, our approach increases the prediction precision and recall significantly.","PeriodicalId":414464,"journal":{"name":"2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132018347","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: 10

A Scalable lnternet-of-Vehicles Service over Joint Clouds 基于联合云的可扩展车联网服务

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00035

Yong Zhang, Mingming Zhang, Tianyu Wo, Xuelian Lin, Renyu Yang, Jie Xu

{"title":"A Scalable lnternet-of-Vehicles Service over Joint Clouds","authors":"Yong Zhang, Mingming Zhang, Tianyu Wo, Xuelian Lin, Renyu Yang, Jie Xu","doi":"10.1109/SOSE.2018.00035","DOIUrl":"https://doi.org/10.1109/SOSE.2018.00035","url":null,"abstract":"Since the Internet of Vehicles (IoV) technology has recently attracted huge research attention, IoV services that can collect, process data and further provision services are increasingly becoming the mainstream. Considering the process efficiency, geo-distributed data is typically collected and exploited on different Clouds, making it significantly essential for IoV application to be deployed on multiple Clouds whilst system components still function well and jointly work. In this paper, we provide a scalable IoV system deployment in the joint Cloud environment where cloud vendors collaboratively cooperate as an alliance. In particular, system components are independently deployed in accordance with the data placement and resource capacities etc. A multi-replication mechanism is utilized to achieve the cross-cloud parallel processing, thereby effectively handling the scalability issues in the massive-scale vehicle data processing. Furthermore, we adopt the multi-source data fusion to facilitate the accuracy of IoV data analytics. We demonstrate the effectiveness of the proposed approaches through real-world use cases including fleet distribution management and passenger demands prediction.","PeriodicalId":414464,"journal":{"name":"2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127347897","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

HCFS2: A File Storage Service with Weak Consistency in the Hybrid Cloud HCFS2:混合云中的弱一致性文件存储服务

2018 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2018-03-26 DOI: 10.1109/SOSE.2018.00038

Jie Sun, Chunming Hu, Tianyu Wo, L. Du, Song Yang

{"title":"HCFS2: A File Storage Service with Weak Consistency in the Hybrid Cloud","authors":"Jie Sun, Chunming Hu, Tianyu Wo, L. Du, Song Yang","doi":"10.1109/SOSE.2018.00038","DOIUrl":"https://doi.org/10.1109/SOSE.2018.00038","url":null,"abstract":"In the hybrid cloud, multiple private and public clouds usually communicate through Wide Area Networks (WAN), suffering from high latency and low bandwidth for inter-cloud data transmission. While existing DFSs are widely used in a single cloud, they may bring significant I/O delay in the hybrid cloud where, based on our investigation, applications are sensitive to latency but barely rely on strictly consistent storage. However, existing DFSs are mainly designed with strong consistency semantics. To address this problem, we implement HCFS2 (Hybrid Cloud File Storage Service). We reuse some components of MooseFS while weakening its consistency semantics. HCFS2 holds three main features: (1) It generates file update digests through intercepting and parsing client I/O operations in userspace, and leverages gossip protocol to distribute file update digests among geographically distributed servers. (2) It maintains weak consistency among storage servers in the hybrid cloud, and it uses a two-level consistency setup to ensure local consistency and global consistency, respectively. (3) It maintains three Log queues to simplify the Log management and uses different task queues to parallelize different processing stages for synchronization, thus improving its concurrent operation performance. Experiment results show that HCFS2 achieves good performance in the hybrid cloud.","PeriodicalId":414464,"journal":{"name":"2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123956770","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: 1