2012 IEEE Fifth International Conference on Utility and Cloud Computing最新文献

Towards Elastic Multi-Tenant Database Replication with Quality of Service 面向服务质量的弹性多租户数据库复制

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.36

F. R. C. Sousa, Javam C. Machado

引用次数: 38

Automated Federation of Distributed Resources into User-Controlled Cloud Environments 将分布式资源自动联合到用户控制的云环境中

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.45

Marc Mosch, Hartmut Schweizer, Stephan Gross, A. Schill

引用次数: 1

A Pluggable Autoscaling Service for Open Cloud PaaS Systems 开放云PaaS系统的可插拔自动扩展服务

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.12

Chris Bunch, Vaibhav Arora, Navraj Chohan, C. Krintz, Shashank Hegde, Ankit Srivastava

{"title":"A Pluggable Autoscaling Service for Open Cloud PaaS Systems","authors":"Chris Bunch, Vaibhav Arora, Navraj Chohan, C. Krintz, Shashank Hegde, Ankit Srivastava","doi":"10.1109/UCC.2012.12","DOIUrl":"https://doi.org/10.1109/UCC.2012.12","url":null,"abstract":"In this paper we present the design, implementation, and evaluation of a plug gable autoscaler within an open cloud platform-as-a-service (PaaS). We redefine high availability (HA) as the dynamic use of virtual machines to keep services available to users, making it a subset of elasticity (the dynamic use of virtual machines). This makes it possible to investigate autoscalers that simultaneously address HA and elasticity. We present and evaluate autoscalers within this plug gable system that are HA-aware and Quality-of-Service (QoS)-aware for web applications written in different programming languages. Hot spares can also be utilized to provide both HA and improve QoS to web users. Within the open source AppScale PaaS, hot spares can increase the amount of web traffic that the QoS-aware autoscaler serves to users by up to 32%. As this auto scaling system operates at the PaaS layer, it is able to control virtual machines and be cost-aware when addressing HA and QoS. This cost awareness uses Spot Instances within Amazon EC2 to reduce the cost of machines acquired by 91%, in exchange for increased startup time. This plug gable auto scaling system facilitates the investigation of new auto scaling algorithms by others that can take advantage of metrics provided by different levels of the cloud stack.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123177296","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: 23

Database Size Estimation by Query Performance -- A Complexity Aspect 基于查询性能的数据库大小估计——一个复杂性方面

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.9

Ye Zhou, Chi-Hung Chi

{"title":"Database Size Estimation by Query Performance -- A Complexity Aspect","authors":"Ye Zhou, Chi-Hung Chi","doi":"10.1109/UCC.2012.9","DOIUrl":"https://doi.org/10.1109/UCC.2012.9","url":null,"abstract":"Many techniques have been proposed to database size estimation. However, the emergency of cloud computing introduces new opportunities along with new challenges. In cloud, a monitoring proxy can be set up by service provider due to the ownership of cloud infrastructure. The collected data allows for service provider to estimate the size of database which may be a black-box to them. We claim that the relationship between query performance and data size can be captured by a complexity function. One can leverage such function to estimate table size if given query execution time. In this paper, we propose a fine grained framework called Database Size Estimation based on Complexity (DSEC) to estimate the size of databases from the perspective of service provider. In particular, we argue that only a small fraction of tables impact service performance significantly, which are referred to as \"important tables\". We illustrate \"important table\" locating process on three typical benchmarks: RUBiS, RUBBoS and TPC-W. Finally, we describe extensive experiments on TPC-W (the most challenging one) to evaluate the effectiveness and efficiency of DSEC in various scenarios.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121831524","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: 0

Optimizing Long-Lived CloudNets with Migrations 通过迁移优化长寿命的云网络

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.7

Gregor Schaffrath, S. Schmid, A. Feldmann

{"title":"Optimizing Long-Lived CloudNets with Migrations","authors":"Gregor Schaffrath, S. Schmid, A. Feldmann","doi":"10.1109/UCC.2012.7","DOIUrl":"https://doi.org/10.1109/UCC.2012.7","url":null,"abstract":"This paper attends to the problem of embedding flexibly specified virtual networks connecting cloud resources (e.g, storage or computation) on a given substrate (e.g., a data center, an ISP backbone, a router site, or a virtual provider network). We study a scenario where a substrate provider (or a potential intermediate broker or reseller) wants to optimize the embedding of these so-called CloudNets by migrating them to more suitable locations. For instance, such re-embeddings can be useful if the CloudNets were requested at short notice and initially placed heuristically. Subsequent optimizations can, e.g., reduce the peak resource loads in the network by spreading CloudNets across the infrastructure or save energy by moving CloudNets together and switching off unused components. We present the generic mathematical programming algorithm used in our CloudNet prototype to compute optimal embeddings. For example, this algorithm supports different objective functions (such as load minimization or energy conservation), arbitrary resource combinations and the mapping of multiple virtual nodes of a CloudNet to a single substrate node, cost-aware migrations, and it can deal with all link types that arise in practice (e.g., fullduplex or even wireless or wired broadcast links with multiple endpoints). Of course, such rigorous CloudNet optimizations are time consuming, and we report on the time complexities obtained from our experiments with our network virtualization prototype architecture. It turns out that optimizing CloudNets over moderate sized infrastructures is feasible, even for scenarios with high flexibility and without tuning the solver software to speed up computations further.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127112718","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: 53

Algebraic Specifications of Computing as a Service with Applications to Cost Analysis 计算即服务的代数规范及其在成本分析中的应用

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.46

Kenneth Johnson, J. V. Tucker

引用次数: 1

A Highly-Virtualising Cloud Resource Broker 一个高度虚拟化的云资源代理

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.14

Josef Spillner, Andrey Brito, F. Brasileiro, A. Schill

引用次数: 6

Metadata Traces and Workload Models for Evaluating Big Storage Systems 评估大型存储系统的元数据跟踪和工作负载模型

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.27

Cristina L. Abad, Huong Luu, Nathan Roberts, Kihwal Lee, Yi Lu, R. Campbell

{"title":"Metadata Traces and Workload Models for Evaluating Big Storage Systems","authors":"Cristina L. Abad, Huong Luu, Nathan Roberts, Kihwal Lee, Yi Lu, R. Campbell","doi":"10.1109/UCC.2012.27","DOIUrl":"https://doi.org/10.1109/UCC.2012.27","url":null,"abstract":"Efficient namespace metadata management is increasingly important as next-generation file systems are designed for peta and exascales. New schemes have been proposed, however, their evaluation has been insufficient due to a lack of appropriate namespace metadata traces. Specifically, no Big Data storage system metadata trace is publicly available and existing ones are a poor replacement. We studied publicly available traces and one Big Data trace from Yahoo! and note some of the differences and their implications to metadata management studies. We discuss the insufficiency of existing evaluation approaches and present a first step towards a statistical metadata workload model that can capture the relevant characteristics of a workload and is suitable for synthetic workload generation. We describe Mimesis, a synthetic workload generator, and evaluate its usefulness through a case study in a least recently used metadata cache for the Hadoop Distributed File System. Simulation results show that the traces generated by Mimesis mimic the original workload and can be used in place of the real trace providing accurate results.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125772622","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: 26

Thermal Aware Processor Operation Point Management 热感知处理器操作点管理

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.47

Naga Pavan Kumar Gorti, Arun Kumar Somani

引用次数: 0

Mining for Norms in Clouds: Complying to Ethical Communication through Cloud Text Data Mining 在云中挖掘规范:通过云文本数据挖掘遵循道德沟通

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.59

Ahsan Nabi Khan, A. Muhammad, A. Enríquez

{"title":"Mining for Norms in Clouds: Complying to Ethical Communication through Cloud Text Data Mining","authors":"Ahsan Nabi Khan, A. Muhammad, A. Enríquez","doi":"10.1109/UCC.2012.59","DOIUrl":"https://doi.org/10.1109/UCC.2012.59","url":null,"abstract":"As the world is realizing the power and efficiency of cloud computing, enhanced security and intelligence is needed in communication to filter out unethical data violating norms in clouds. No filtering categorization has been currently proposed. Numerous lists of banned, unethical and objectionable words have been developed with limited user satisfaction. Lists are usually manually generated, with some programmable extensibility for online forums and public newsgroups. We define a tool and methodology to categorize the censor data. We statistically grow words in the categorized data and tag the hidden neutral words with meaning in context. Using Computational Linguistics tools and modifying them to suit our means, we analyze sample text from gigabytes of email newsgroup dataset over Cloud Servers. A sample result dataset of the most frequently used words breaking the norms in recent cloud communication is presented in the results in broad categories. The categories separate cloud-server data found in newsgroups related to internet crimes, fraud, theft, anti-state elements, and other material of legal importance. Thus this study demonstrates a tag cloud of most frequent critical words in communications from legal and ethical point-of-view in the current scenario of cloud databases.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122955053","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