2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)最新文献_第3页

Object Isolation for Cloud with DOMAIN RBAC 具有DOMAIN RBAC的云的对象隔离

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354616

V. Ranganathan, G. P. Venkataraman

{"title":"Object Isolation for Cloud with DOMAIN RBAC","authors":"V. Ranganathan, G. P. Venkataraman","doi":"10.1109/CCEM.2012.6354616","DOIUrl":"https://doi.org/10.1109/CCEM.2012.6354616","url":null,"abstract":"Cloud computing has taken technology into a mix of networking, virtualization and clustering environment which has opened up a new era with lots of opportunities thereby making business highly scalable. However there are several challenges that need to be addressed, in particular, security, which Forrester [1] has listed as being one of the most crucial concerns. One of the most effective and time-tested ways to ensure security is via Role Based Access Control (RBAC) [2]; with emphasis in cloud computing environments on data protection, authentication and authorization. RBAC provides a policy framework to enable delegation of responsibilities of the super user permissions to other users. This framework helps define non-root users with proper authorizations to perform specific system administration tasks. However it does not provide a mechanism to define the set of objects on which these roles could be exercised. By default, all Role based tasks can be performed on all objects of that type. Therefore to address this issue DOMAIN RBAC has been implemented, with object isolation feature included, as an extension of RBAC. Object Isolation marks a boundary across system resources and users by defining which users can access specified resources on the system while the RBAC roles would determine what operations can be performed on the accessible resources. In this paper we present and describe a method by which object isolation has been implemented via DOMAIN RBAC along with a use case. We also illustrate our approach by showing how it is implemented on IBM's AIX version 7 Operating System which can be leveraged in cloud environment.","PeriodicalId":409273,"journal":{"name":"2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"173 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127790052","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

Cloud Enabling Data Centers for Optimized Development and Test Operations 支持云的数据中心，优化开发和测试操作

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354602

S. Pillai

引用次数: 0

Workload Characterization for Capacity Planning and Performance Management in IaaS Cloud IaaS云中容量规划和性能管理的工作负载表征

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354624

S. Mahambre, P. Kulkarni, U. Bellur, G. Chafle, D. Deshpande

引用次数: 21

Paravirtualization for Scalable Kernel-Based Virtual Machine (KVM) 可扩展的基于内核的虚拟机(KVM)的准虚拟化

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354619

K. Raghavendra, S. Vaddagiri, N. Dadhania, J. Fitzhardinge

{"title":"Paravirtualization for Scalable Kernel-Based Virtual Machine (KVM)","authors":"K. Raghavendra, S. Vaddagiri, N. Dadhania, J. Fitzhardinge","doi":"10.1109/CCEM.2012.6354619","DOIUrl":"https://doi.org/10.1109/CCEM.2012.6354619","url":null,"abstract":"In a multi-CPU Virtual Machine(VM), virtual CPUs (VCPUs) are not guaranteed to be scheduled simultaneously. Operating System (OS) constructs, such as busy-wait (mainly spin locks and TLB shoot-down), are written with an assumption of running on bare-metal wastes lot of CPU time, resulting in performance degradation. For e.g., suppose a spin lock holding VCPU is preempted (aka LHP) by the host scheduler, other VCPUs waiting to acquire the same spin lock, waste lot of CPU cycles. Worsening this is the ticket based spin lock implementation, which requires next eligible VCPU to acquire the lock to be running. Similarly, remote TLB flushing API's does a busy wait for other VCPUs to flush the TLB. Above problems result in a higher synchronization latency for the workloads running within a VM. Especially in a massively over-committed environment like cloud, these problems become worse. One of the existing solutions is the hardware supported Pause Loop Exiting (PLE) mechanism which detects such busy-wait constructs inside the VCPU of a VM, and automatically does VCPU exit. Alternate implementation could be gang scheduling which tries to ensure VCPUs of VMs are scheduled simultaneously. But both the implementations suffer from scalability problem and are ill suited for cloud environments. Paravirtualization is the best approach, where the guest OS is made aware that it is running in a virtualized environment, and optimize the busy-wait. Host OS also coordinate with guest to bring further performance benefits. This paper discusses about paravirtualized ticket spin locks where VCPU waiting for spin lock sleeps, and unlocker identifies next eligible lock-holder VCPU and wakes it up. In paravirtualized remote TLB flush, a VCPU does not wait for other VCPUs that are sleeping, but all the sleeping VCPUs flush the TLB when they run next time. Results show that, on a non-PLE machine, these solutions bring huge speed up in over-committed guest scenarios.","PeriodicalId":409273,"journal":{"name":"2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116555951","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

Performance Monitoring in Linux KVM Cloud Environment Linux KVM云环境中的性能监控

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354620

Abinash Khandual

引用次数: 10

Making the Most of Test Automation as a Service 充分利用作为服务的测试自动化

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354612

Rashmi Khanna

引用次数: 1

An Optimized Resource Allocation Approach for Data-Intensive Workloads Using Topology-Aware Resource Allocation 基于拓扑感知资源分配的数据密集型工作负载优化资源分配方法

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354595

J. J. Rao, K. Cornelio

引用次数: 5

Cloud Monitor: Monitoring Applications in Cloud 云监视器:监控云中的应用程序

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354603

M. Anand

引用次数: 22

Detecting Workload Hotspots and Dynamic Provisioning of Virtual Machines in Clouds 云环境下的工作负载热点检测与虚拟机动态发放

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354606

N. R. Challa

引用次数: 1

Cloud Service Costing Challenges 云服务成本挑战

2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2012-11-20 DOI: 10.1109/CCEM.2012.6354604

Jithesh Kozhipurath

{"title":"Cloud Service Costing Challenges","authors":"Jithesh Kozhipurath","doi":"10.1109/CCEM.2012.6354604","DOIUrl":"https://doi.org/10.1109/CCEM.2012.6354604","url":null,"abstract":"In today's world we have smarter consumer and enterprise who are not looking to spend much up-front cost and getting tied down to a vendor or brand. This benefits consumers to a large extend in reducing their capital expenses and operational cost, also allows them to focus on their core business and leave out the support needs to the service provider. This challenge is resolved to an extend by a very highly competitive service market. But from the provider's end, enabling any service incur cost and this expense need to be recovered and has to gain from the investment by defining the right pricing model. It is no different in cloud computing too, the cloud enablement itself involves significant cost and it has to be recovered from the consumer by adopting a competitive pricing model. Hence a proper costing of your cloud offering is always important to lead in the market. In this paper the different capital expenditures and operational expenditures for enabling a cloud service is detailed. Also the cost depreciation factors that need to be considered for a cloud model would be assessed with practical scenario. This paper would also cover the costing models samples for an IT profit center and a cost center for a private cloud.","PeriodicalId":409273,"journal":{"name":"2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123542549","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