Virtual machine contracts for datacenter and cloud computing environments

Matthews, Jeanna; Garfinkel, Tal; Hoff, Christofer; Wheeler, Jeff

doi:10.1145/1555271.1555278

Cited by 49 publications

(14 citation statements)

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“…Much effort has been put recently in assessing the performance of virtualized resources, in cloud computing environments [7]- [11], [22]- [24] and in general [25]- [28]. In contrast to this body of previous work, ours is different in scope: we do not focus on the (average) performance values, but on their variability and evolution over time.…”

Section: Related Workmentioning

confidence: 98%

On the Performance Variability of Production Cloud Services

Iosup

Yigitbasi

Epema

2011

2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

255

172

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Abstract-Cloud computing is an emerging infrastructure paradigm that promises to eliminate the need for companies to maintain expensive computing hardware. Through the use of virtualization and resource time-sharing, clouds address with a single set of physical resources a large user base with diverse needs. Thus, clouds have the potential to provide their owners the benefits of an economy of scale and, at the same time, become an alternative for both the industry and the scientific community to self-owned clusters, grids, and parallel production environments. For this potential to become reality, the first generation of commercial clouds need to be proven to be dependable. In this work we analyze the dependability of cloud services. Towards this end, we analyze long-term performance traces from Amazon Web Services and Google App Engine, currently two of the largest commercial clouds in production. We find that the performance of about half of the cloud services we investigate exhibits yearly and daily patterns, but also that most services have periods of especially stable performance. Last, through tracebased simulation we assess the impact of the variability observed for the studied cloud services on three large-scale applications, job execution in scientific computing, virtual goods trading in social networks, and state management in social gaming. We show that the impact of performance variability depends on the application, and give evidence that performance variability can be an important factor in cloud provider selection.

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Section: Related Workmentioning

confidence: 98%

On the Performance Variability of Production Cloud Services

Iosup

Yigitbasi

Epema

2011

2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

255

172

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“…Further desired interoperability developments are listed by Matthews et al (2009), who propose virtual machine contracts (VMC) as an attempt at standardising VM protection and security settings, and are working on adding VMCs to the OVF as extension to the metadata. Even in data centres under automated control and management, it is necessary to have customised settings for security and protection, such as firewall rules and bandwidth allowances for individual VMs.…”

Section: Cloud Interoperability and Novel Protocolsmentioning

confidence: 99%

Research challenges and potential green technological applications in cloud computing

Sasikala

2013

IJCC

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Cloud computing has generated a lot of interest and competition in the IT industry. It has become a scalable services delivery platform in the field of services computing. The technical foundations of it include service-oriented architecture and virtualisations of hardware and software. The goal is to share resources among the cloud service consumers, cloud partners, and cloud vendors in the cloud value chain. The technology faces several significant challenges and the current research focuses on the technical issues that arise when building and providing clouds and the implications on enterprises and users. Structured along the technical aspects on the cloud programmes, we discuss associated technologies; advances in the introduction of protocols, interfaces, and standards; techniques for modelling and building clouds; and feasibility, testing and the future arising through cloud computing. Cloud computing is a huge leap orienting towards green computing, an environmentally sustainable forever computing with an enormous bright future. . She has 15 years of research cum teaching experience. She has published over 25 papers in peer reviewed international journals and conferences. Her current research interest is in the field of text mining, cloud computing and ICT.

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“…Virtualization technologies are ubiquitously deployed in data centers and offer the benefit of performance and fault isolation, flexible migration [16] , resource consolidation [13], and easy creation [5] of specialized environments. They have been extensively used to run web server, E-commerce and data mining workloads.…”

Section: Introductionmentioning

confidence: 99%

Optimized pre-copy live migration for memory intensive applications

Ibrahim

Hofmeyr

Iancu

et al. 2011

Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis

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Abstract-Live migration is a widely used technique for resource consolidation and fault tolerance. KVM and Xen use iterative pre-copy approaches which work well in practice for commercial applications. In this paper, we study pre-copy live migration of MPI and OpenMP scientific applications running on KVM and present a detailed performance analysis of the migration process. We show that due to a high rate of memory changes, the current KVM rate control and target downtime heuristics do not cope well with HPC applications: statically choosing rate limits and downtimes is infeasible and current mechanisms sometimes provide sub-optimal performance. We present a novel on-line algorithm able to provide minimal downtime and minimal impact on end-to-end application performance. At the core of this algorithm is controlling migration based on the application memory rate of change.

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Virtual machine contracts for datacenter and cloud computing environments

Cited by 49 publications

References 0 publications

On the Performance Variability of Production Cloud Services

On the Performance Variability of Production Cloud Services

Research challenges and potential green technological applications in cloud computing

Optimized pre-copy live migration for memory intensive applications

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