2013 IEEE 5th International Conference on Cloud Computing Technology and Science最新文献

Supporting Cloud Accountability by Collecting Evidence Using Audit Agents 通过使用审计代理收集证据来支持云问责制

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.32

T. Rübsamen, C. Reich

引用次数: 27

A Dynamic Complex Event Processing Architecture for Cloud Monitoring and Analysis 一种用于云监测和分析的动态复杂事件处理体系结构

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.146

Afef Mdhaffar, Riadh Ben Halima, M. Jmaiel, Bernd Freisleben

引用次数: 17

Intelligent MapReduce Based Framework for Labeling Instances in Evolving Data Stream 基于智能MapReduce的演化数据流实例标记框架

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.152

Ahsanul Haque, Brandon Parker, L. Khan, B. Thuraisingham

引用次数: 3

An Architectural Model for Deploying Critical Infrastructure Services in the Cloud 在云中部署关键基础设施服务的体系结构模型

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.67

M. Schöller, R. Bless, Frank Pallas, Jens Horneber, Paul Smith

引用次数: 16

Cooperative Scheduling Anti-load Balancing Algorithm for Cloud: CSAAC 云协同调度反负载均衡算法:CSAAC

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.63

Cheikhou Thiam, Georges Da Costa, J. Pierson

{"title":"Cooperative Scheduling Anti-load Balancing Algorithm for Cloud: CSAAC","authors":"Cheikhou Thiam, Georges Da Costa, J. Pierson","doi":"10.1109/CloudCom.2013.63","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.63","url":null,"abstract":"In the past decade, more and more attention focuses on job scheduling strategies in a variety of scenarios. Due to the characteristics of clouds, meta-scheduling turns out to be an important scheduling pattern because it is responsible for orchestrating resources managed by independent local schedulers and bridges the gap between participating nodes. Likewise, to overcome issues such as bottleneck, overloading, under loading and impractical unique administrative management, which are normally led by conventional centralized or hierarchical schemes, the distributed scheduling scheme is emerging as a promising approach because of its capability with regards to scalability and flexibility. In this paper, we introduce a decentralized dynamic scheduling approach entitled Cooperative scheduling Anti-load balancing Algorithm for cloud (CSAAC). To validate CSAAC we used a simulator which extends the MaGateSim simulator and provides better support to energy aware scheduling algorithms. CSAAC goal is to achieve optimized scheduling performance and energy gain over the scope of overall cloud, instead of individual participating nodes. The extensive experimental evaluation with a real workload dataset shows that, when compared to the centralized scheduling scheme with Best Fit as the meta-scheduling policy, the use of CSAAC can lead to a 30%61% energy gain, and a 20%30% shorter average job execution time in a decentralized scheduling manner without requiring detailed real-time processing information from participating nodes.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123000179","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: 16

Non-tunneling Edge-Overlay Model Using OpenFlow for Cloud Datacenter Networks 基于OpenFlow的云数据中心网络非隧道边缘覆盖模型

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.122

Ryota Kawashima, H. Matsuo

{"title":"Non-tunneling Edge-Overlay Model Using OpenFlow for Cloud Datacenter Networks","authors":"Ryota Kawashima, H. Matsuo","doi":"10.1109/CloudCom.2013.122","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.122","url":null,"abstract":"In current SDN paradigm, an edge-overlay (distributed tunneling) model using L2-in-L3 tunneling protocols, such as VXLAN, has attracted attentions for multi-tenant data center networks. The edge-overlay model can establish rapid-deployment of virtual networks onto existing traditional network facilities, ensure flexible IP/MAC address allocation to VMs, and extend the number of virtual networks regardless of the VLAN ID limitation. However, such model has performance and incompatibility problems on the traditional network environment. For L2 data center networks, this paper proposes a pure software approach that uses Open Flow virtual switches to realize yet another edge-overlay without IP tunneling. Our model leverages a header rewriting method as well as a host-based VLAN ID usage to ensure address space isolation and scalability of the number of virtual networks. In our model, any special hardware equipments like Open Flow hardware switch are not required and only software-based virtual switches and the controller are used. In this paper, we evaluate the performance of the proposed model comparing with the tunneling model using GRE or VXLAN protocol. Our model showed better performance and less CPU usage. In addition, qualitative evaluations of the model are also conducted from a broader perspective.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122226000","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: 20

Dynamic Exception Handling for Partitioned Workflow on Federated Clouds 联邦云上分区工作流的动态异常处理

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.34

Z. Wen, P. Watson

{"title":"Dynamic Exception Handling for Partitioned Workflow on Federated Clouds","authors":"Z. Wen, P. Watson","doi":"10.1109/CloudCom.2013.34","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.34","url":null,"abstract":"The aim of federated cloud computing is to allow applications to utilise a set of clouds in order to provide a better combination of properties, such as cost, security, performance and dependability, than can be achieved on a single cloud. In this paper we focus on security and dependability: introducing a new automatic method for dynamically partitioning applications across the set of clouds in an environment in which clouds can fail during workflow execution. The method deals with exceptions that occur when clouds fail, and selects the best way to repartition the workflow, whilst still meeting security requirements. This avoids the need for developers to have to code ad-hoc solutions to address cloud failure, or the alternative of simply accepting that an application will fail when a cloud fails. This paper's method builds on earlier work [1] on partitioning workflows over federated clouds to minimise cost while meeting security requirements. It extends it by pre-generating the graph of all possible ways to partition the workflow, and adding weights to the paths through the graph so that when a cloud fails, it is possible to quickly determine the cheapest possible way to make progress from that point to the completion of the workflow execution (if any path exists). The method has been implemented and evaluated through a tool which exploits e-Science Central: a portable, high-level cloud platform. The workflow application is created and distributed across a set of e-Science Central instances. By monitoring the state of each executing e-Science Central instance, the system handles exceptions as they occur at run-time. The paper describes the method and an evaluation that utilises a set of examples.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128651030","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: 13

Content Espresso: A System for Large File Sharing Using Globally Dispersed Storage 内容浓缩:一个使用全局分散存储的大文件共享系统

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.162

Daisuke Ando, Masahiko Kitamura, F. Teraoka, K. Kaneko

引用次数: 4

Using Iterative MapReduce for Parallel Virtual Screening 基于迭代MapReduce的并行虚拟筛选

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CLOUDCOM.2013.99

Laeeq Ahmed, Åke Edlund, E. Laure, O. Spjuth

引用次数: 9

Cost-Aware Client-Side File Caching for Data-Intensive Applications 数据密集型应用程序的成本意识客户端文件缓存

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.140

Yaning Huang, Hai Jin, Xuanhua Shi, Song Wu, Yong Chen

{"title":"Cost-Aware Client-Side File Caching for Data-Intensive Applications","authors":"Yaning Huang, Hai Jin, Xuanhua Shi, Song Wu, Yong Chen","doi":"10.1109/CloudCom.2013.140","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.140","url":null,"abstract":"Parallel and distributed file systems are widely used to provide high throughput in high-performance computing and Cloud computing systems. To increase the parallelism, I/O requests are partitioned into multiple sub-requests (or `flows') and distributed across different data nodes. The performance of file systems is extremely poor if data nodes have highly unbalanced response time. Client-side caching offers a promising direction for addressing this issue. However, current work has primarily used client-side memory as a read cache and employed a write-through policy which requires synchronous update for every write and significantly under-utilizes the client-side cache when the applications are write-intensive. Realizing that the cost of an I/O request depends on the struggler sub-requests, we propose a cost-aware client-side file caching (CCFC) strategy, that is designed to cache the sub-requests with high I/O cost on the client end. This caching policy enables a new trade-off across write performance, consistency guarantee and cache size dimensions. Using benchmark workloads MADbench2, we evaluate our new cache policy alongside conventional write-through. We find that the proposed CCFC strategy can achieve up to 110% throughput improvement compared to the conventional write-through policies with the same cache size on an 85-node cluster.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124211002","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