2014 IEEE International Conference on Cloud Engineering最新文献_第3页

Extraction of Bridges from High Resolution Remote Sensing Image Based on Topology Modeling 基于拓扑建模的高分辨率遥感影像桥梁提取

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.79

Haitao Lu, Yong Deng, Zhijian Huang, Jinfang Zhang

引用次数: 2

Forensic Virtual Machines: Dynamic Defence in the Cloud via Introspection 取证虚拟机:通过自省在云中的动态防御

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.59

A. Shaw, B. Bordbar, John T. Saxon, K. Harrison, Chris I. Dalton

{"title":"Forensic Virtual Machines: Dynamic Defence in the Cloud via Introspection","authors":"A. Shaw, B. Bordbar, John T. Saxon, K. Harrison, Chris I. Dalton","doi":"10.1109/IC2E.2014.59","DOIUrl":"https://doi.org/10.1109/IC2E.2014.59","url":null,"abstract":"The Cloud attempts to provide its users with automatically scalable platforms to host many applications and operating systems. To allow for quick deployment, they are often homogenised to a few images, restricting the variations used within the Cloud. An exploitable vulnerability stored within an image means that each instance will suffer from it and as a result, an attacker can be sure of a high pay-off for their time. This makes the Cloud a prime target for malicious activities. There is a clear requirement to develop an automated and computationally-inexpensive method of discovering malicious behaviour as soon as it starts, such that remedial action can be adopted before substantial damage is caused. In this paper we propose the use of Mini-OS, a virtualised operating system that uses minimal resources on the Xen virtualisation platform, for analysing the memory space of other guest virtual machines. These detectors, which we call Forensic Virtual Machines (FVMs), are lightweight such that they are inherently computationally cheap to run. Such a small footprint allows the physical host to run numerous instances to find symptoms of malicious behaviour whilst potentially limiting attack vectors. We describe our experience of developing FVMs and how they can be used to complement existing methods to combat malware. We also evaluate them in terms of performance and the resources that they require.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115422782","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: 19

Enterprise Database Applications and the Cloud: A Difficult Road Ahead 企业数据库应用程序和云:一条艰难的道路

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.97

M. Stonebraker, Andrew Pavlo, Rebecca Taft, Michael L. Brodie

引用次数: 11

Improving Enterprise VM Consolidation with High-Dimensional Load Profiles 通过高维负载配置文件改进企业虚拟机整合

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.12

A. Wolke, Carl Pfeiffer

引用次数: 3

A Stochastic Approach for Virtual Machine Placement in Volunteer Cloud Federations 志愿云联盟中虚拟机放置的随机方法

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.85

A. Rezgui, S. Rezgui

引用次数: 4

Benchmarking Private Cloud Performance with User-Centric Metrics 使用以用户为中心的指标对私有云性能进行基准测试

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.74

Bin Sun, Brian Hall, Hu Wang, Da Wei Zhang, Kai Ding

引用次数: 3

Ship Damage Control as a Service Based on Spatio-temporal Database 基于时空数据库的船舶损伤控制服务

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.89

Yicheng Zheng, Yong Deng, Qingmeng Zhu

引用次数: 1

Discovering the Structure of Cloud Applications Using Sampled Packet Traces 利用采样报文轨迹发现云应用的结构

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.45

Hiroya Matsuba, M. Hiltunen, Kaustubh R. Joshi, R. Schlichting

引用次数: 1

CoMoT -- A Platform-as-a-Service for Elasticity in the Cloud CoMoT——云中的弹性平台即服务

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.44

Hong Linh Truong, S. Dustdar, G. Copil, Alessio Gambi, W. Hummer, Duc-Hung Le, D. Moldovan

引用次数: 13

Runtime Resource Allocation Model over Network Processors 基于网络处理器的运行时资源分配模型

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.33

Khalil Blaiech, Omar Mounaouar, O. Cherkaoui, Ludovic Béliveau

{"title":"Runtime Resource Allocation Model over Network Processors","authors":"Khalil Blaiech, Omar Mounaouar, O. Cherkaoui, Ludovic Béliveau","doi":"10.1109/IC2E.2014.33","DOIUrl":"https://doi.org/10.1109/IC2E.2014.33","url":null,"abstract":"Delivering high performance when several virtual nodes share the same physical resources requires finding the optimal resource allocation between them. In the context of Software Defined Network (SDN) and Network Virtualization, data plane requires the design of a new and more flexible flow packet processing. Virtual nodes involves several packet processing functions such as search operations in different data structures, processing the packets by modifying their respective contents and buffering them. Each packet processing requires a set of shared resources. If there is a conflict for a given resources, resource reassignment strategy is needed to ensure the continuity of the processing and solve resource congestion in accordance with the available hardware resources. In this paper, we propose a resource allocation strategy to share fairly the network processor resources. It is based on network calculus model and game theory algorithms. This strategy maps dynamically the suitable resources according to virtual nodes processing. In our implementation, we focus on packet processing tasks in regard to OpenFlow forwarding model within several processors to reassign resources.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115715058","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