2011 IEEE Third International Conference on Cloud Computing Technology and Science最新文献

{"title":"Energy-Aware Task Consolidation Technique for Cloud Computing","authors":"Ching-Hsien Hsu, Shih-Chang Chen, Chih-Chun Lee, Hsi-Ya Chang, Kuan-Chou Lai, Kuan-Ching Li, Chunming Rong","doi":"10.1109/CloudCom.2011.25","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.25","url":null,"abstract":"Task consolidation is a way of maximizing cloud computing resource, which brings many benefits such as better use of resources, rationalization of maintenance, IT service customization, QoS and reliable services, etc. However, maximizing resource utilization does not mean efficient energy usage. Many literature show that energy consumption and resource utilization in clouds are highly coupled. Some research works aim to decrease resource utilization for saving energy while some try to find the balance between resource utilization and energy consumption. In this paper, an energy-aware task consolidation (ETC) technique is presented aims to optimize energy consumption of virtual clusters in cloud data center. Conforming most cloud systems, a 70% principle of CPU utilization is proposed to manage task consolidation among virtual clusters. The simulation results show that ETC can significantly reduce power consumption in managing task consolidation for cloud systems. Up to 17% improvement as compare to a recent work in [10] that aims to maximize resource utilization can be obtained.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121338360","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}

{"title":"An Autonomous Agent Based Incident Detection System for Cloud Environments","authors":"Frank Dölitzscher, C. Reich, M. Knahl, N. Clarke","doi":"10.1109/CloudCom.2011.35","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.35","url":null,"abstract":"Classic intrusion detection mechanisms are not flexible enough to cope with cloud specific characteristics such as frequent infrastructure changes. This makes them unable to address new cloud specific security issues. In this paper we introduce the cloud incident detection system Security Audit as a Service (SAaaS). It is build upon intelligent autonomous agents, which are aware of underlying business flows of deployed cloud instances. Business flows are modelled in form of Security Service Level Agreements, which enable the SAaaS architecture to be flexible and to supported cross customer event monitoring of a cloud infrastructure. As contribution of this paper we provide a high-level design of the SAaaS architecture, an introduction into the concept of Security Service Level Agreements, a first prototype of an autonomous agent and an evaluation about, which cloud specific security problems are addressed by the presented architecture.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121346340","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}

{"title":"CloudML: An Integrated Language for Resource, Service and Request Description for D-Clouds","authors":"G. Gonçalves, P. Endo, M. Santos, D. Sadok, J. Kelner, B. Melander, Jan-Erik Mångs","doi":"10.1109/CloudCom.2011.60","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.60","url":null,"abstract":"Distributed Clouds, or just D-Clouds, can be seen as a paradigm that is able to exploit the potential of sharing resources across geographic boundaries and provide latency-bound allocation of resources to third-party developers. The representation of D-Cloud resources is a challenge that involves the careful choice of characteristics that drive the mapping of requests on the substrate resources. Regarding these problems, this paper introduces the Cloud Modeling Language (CloudML), a vendor-neutral XML-based language intended to integrate the description of different cloud related aspects such as computational and network resources, services profiles, and developers' requests in an integrated way. Furthermore, the CloudML provides a way to describe geographical location aware services, seen particularly indispensable in D-Cloud scenarios.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115913207","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}

{"title":"Security Infrastructure for On-demand Provisioned Cloud Infrastructure Services","authors":"Y. Demchenko, C. Ngo, C. D. Laat, T. Wlodarczyk, Chunming Rong, W. Ziegler","doi":"10.1109/CloudCom.2011.42","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.42","url":null,"abstract":"Providing consistent security services in on-demand provisioned Cloud infrastructure services is of primary importance due to multi-tenant and potentially multi-provider nature of Clouds Infrastructure as a Service (IaaS) environment. Cloud security infrastructure should address two aspects of the IaaS operation and dynamic security services provisioning: (1) provide security infrastructure for secure Cloud IaaS operation, (2) provisioning dynamic security services, including creation and management of the dynamic security associations, as a part of the provisioned composite services or virtual infrastructures. The first task is a traditional task in security engineering, while dynamic provisioning of managed security services in virtualised environment remains a problem and requires additional research. In this paper we discuss both aspects of the Cloud Security and provide suggestions about required security mechanisms for secure data management in dynamically provisioned Cloud infrastructures. The paper refers to the architectural framework for on-demand infrastructure services provisioning, being developed by authors, that provides a basis for defining the proposed Cloud Security Infrastructure. The proposed SLA management solution is based on the WS-Agreement and allows dynamic SLA management during the whole provisioned services lifecycle. The paper discusses conceptual issues, basic requirements and practical suggestions for dynamically provisioned access control infrastructure (DACI). The paper proposes the security mechanisms that are required for consistent DACI operation, in particular security tokens used for access control, policy enforcement and authorisation session context exchange between provisioned infrastructure services and Cloud provider services. The suggested implementation is based on the GAAA Toolkit Java library developed by authors that is extended with the proposed Common Security Services Interface (CSSI) and additional mechanisms for binding sessions and security context between provisioned services and virtualised platform.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115588415","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}

{"title":"Checking Running and Dormant Virtual Machines for the Necessity of Security Updates in Cloud Environments","authors":"Roland Schwarzkopf, Matthias Schmidt, Christian Strack, Bernd Freisleben","doi":"10.1109/CloudCom.2011.40","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.40","url":null,"abstract":"A common approach in Infrastructure-as-a-Service Clouds or virtualized Grid computing is to provide virtual machines to customers to execute their software remotely. While giving full super user permissions eases the installation and use of a customer's software, it may lead to security issues. Providers usually delegate the task of keeping virtual machines up to date to the customer, while the customer expects the provider to perform this task. Consequently, a large number of virtual machines (either running or dormant) are not patched against the latest software vulnerabilities. The approach presented in this paper deals with this problem by helping users as well as providers to keep virtual machines up to date. Prior to the update step, it is crucial to know which software is actually outdated. While this task seems trivial, developing a solution that takes care of multiple, different software repositories and identifies the correct packages is a challenging task. The Update Checker presented in this paper identifies outdated software packages in virtual machines, even if the virtual machines are installed with different repositories. The paper presents the design, the implementation and an experimental evaluation of the approach.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123989048","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}

{"title":"Characterizing Power and Energy Usage in Cloud Computing Systems","authors":"Ziming Zhang, Song Fu","doi":"10.1109/CloudCom.2011.29","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.29","url":null,"abstract":"Power and energy are primary concerns in the design and management of modern cloud computing systems and data centers. Operational costs for powering and cooling large-scale cloud systems will soon exceed acquisition costs. To improve the energy effciency of cloud computing systems and applications, it is critical to profile the power usage of real systems and applications. Many factors influence power and energy usage in cloud systems, including each components electrical specification, the system usage characteristics of the applications, and system software. In this work, we present the power profiling results on a cloud test bed. We combine hardware and software that achieves power and energy profiling at server granularity. We collect the power and energy usage data with varying server/cloud configurations, and quantify their correlation. Our experiments reveal conclusively how different system configurations affect the server/cloud power and energy usage.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114416434","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}

{"title":"Infrastructure Deployment Over the Cloud","authors":"C. Alfonso, M. Caballer, F. Alvarruiz, Germán Moltó, V. Hernández","doi":"10.1109/CLOUDCOM.2011.77","DOIUrl":"https://doi.org/10.1109/CLOUDCOM.2011.77","url":null,"abstract":"With the advent of cloud technologies the scientists have access to different cloud infrastructures in order to deploy all the virtual machines they need to perform the computations required in their research works. This paper describes a software architecture and a description language to simplify the creation of all the needed resources, and the elastic evolution of the computing infrastructure depending on the application requirements and some QoS features.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132338082","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}

{"title":"Combining Grid and Cloud Resources for Hybrid Scientific Computing Executions","authors":"A. Calatrava, Germán Moltó, V. Hernández","doi":"10.1109/CloudCom.2011.73","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.73","url":null,"abstract":"The advent of Cloud computing has paved the way to envision hybrid computational infrastructures based on powerful Grid resources combined with dynamic and elastic on-demand virtual infrastructures on top of Cloud deployments. However, the combination of Grid and Cloud resources for executing computationally intensive scientific applications introduces new challenges and opportunities in areas such as resource provisioning and management, meta-scheduling and elasticity. This paper describes different approaches to integrate the usage of Grid and Cloud-based resources for the execution of High Throughput Computing scientific applications. A reference architecture is proposed and the the opportunities and challenges of such hybrid computational scenarios are addressed. Finally, a prototype implementation is described and a case study that involves a protein design application is employed to outsource job executions to the Cloud when Grid resources become exhausted.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121847850","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}

{"title":"An Integrated Cloud-based Healthcare Infrastructure","authors":"Elias Ekonomou, Lu Fan, W. Buchanan, Christoph Thuemmler","doi":"10.1109/CLOUDCOM.2011.80","DOIUrl":"https://doi.org/10.1109/CLOUDCOM.2011.80","url":null,"abstract":"We present a cloud-based healthcare system that integrates a formal care system (DACAR) with an informal care system (Microsoft Health Vault). The system provides high levels of security and privacy within a cloud environment, enabling sharing of both health records and the access rights, along the patient pathway. We also define a case study that can help in evaluating and in demonstrating the usefulness of a cloud-based integrated health care system.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"75 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120974403","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}

{"title":"Locality-Aware Reduce Task Scheduling for MapReduce","authors":"Mohammad Hammoud, M. Sakr","doi":"10.1109/CloudCom.2011.87","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.87","url":null,"abstract":"MapReduce offers a promising programming model for big data processing. Inspired by functional languages, MapReduce allows programmers to write functional-style code which gets automatically divided into multiple map and/or reduce tasks and scheduled over distributed data across multiple machines. Hadoop, an open source implementation of MapReduce, schedules map tasks in the vicinity of their inputs in order to diminish network traffic and improve performance. However, Hadoop schedules reduce tasks at requesting nodes without considering data locality leading to performance degradation. This paper describes Locality-Aware Reduce Task Scheduler (LARTS), a practical strategy for improving MapReduce performance. LARTS attempts to collocate reduce tasks with the maximum required data computed after recognizing input data network locations and sizes. LARTS adopts a cooperative paradigm seeking a good data locality while circumventing scheduling delay, scheduling skew, poor system utilization, and low degree of parallelism. We implemented LARTS in Hadoop-0.20.2. Evaluation results show that LARTS outperforms the native Hadoop reduce task scheduler by an average of 7%, and up to 11.6%.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131694658","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}