Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing

Fu, Song

doi:10.1109/ccgrid.2009.21

Cited by 32 publications

(20 citation statements)

References 22 publications

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“…Recent studies [21], [22], [23], [24], [25] apply execution migration techniques to enhance resource management by avoiding possible failures. They demonstrate the feasibility of exploiting proactive management methods for dependability assurance in networked computer systems.…”

Section: Related Workmentioning

confidence: 99%

A Failure Detection and Prediction Mechanism for Enhancing Dependability of Data Centers

Guan¹,

Zhang²,

Fu³

2012

IJCTE

Self Cite

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Abstract-Modern data centers continue to grow in their scale and complexity. They are changing dynamically as well due to the addition and removal of system components, changing execution environments, frequent updates and upgrades, online repairs and more. Classical reliability theory and conventional methods do rarely consider the actual state of a system and are therefore not capable to reflect the dynamics of runtime systems and failure processes. In this paper, we present an unsupervised failure detection and prediction method using an ensemble of Bayesian models. It characterizes normal execution states of the system and detects anomalous behaviors. We implement a prototype of our failure detection and prediction mechanism and evaluate its performance on a data center test platform. Experimental results show that our proposed method can forecast failure dynamics with high accuracy.

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Section: Related Workmentioning

confidence: 99%

A Failure Detection and Prediction Mechanism for Enhancing Dependability of Data Centers

Guan¹,

Zhang²,

Fu³

2012

IJCTE

Self Cite

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show abstract

“…Finally, we state an extensible methodology that includes new trends such as fault tolerance and SLA enforcement. Fault tolerance in clusters has been researched in [19] where they use virtualization and design a reconfigurable distributed virtual machine (RDVM) infrastructure. Despite it is focused on failure management, they use a similar node selection approach taking into account nodes reliability and tasks deadlines.…”

Section: Related Workmentioning

confidence: 99%

Energy-Aware Scheduling in Virtualized Datacenters

Goiri

Julià

Nou

et al. 2010

2010 IEEE International Conference on Cluster Computing

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Abstract-The reduction of energy consumption in large-scale datacenters is being accomplished through an extensive use of virtualization, which enables the consolidation of multiple workloads in a smaller number of machines. Nevertheless, virtualization also incurs some additional overheads (e.g. virtual machine creation and migration) that can influence what is the best consolidated configuration, and thus, they must be taken into account. In this paper, we present a dynamic job scheduling policy for power-aware resource allocation in a virtualized datacenter. Our policy tries to consolidate workloads from separate machines into a smaller number of nodes, while fulfilling the amount of hardware resources needed to preserve the quality of service of each job. This allows turning off the spare servers, thus reducing the overall datacenter power consumption. As a novelty, this policy incorporates all the virtualization overheads in the decision process. In addition, our policy is prepared to consider other important parameters for a datacenter, such as reliability or dynamic SLA enforcement, in a synergistic way with power consumption. The introduced policy is evaluated comparing it against common policies in a simulated environment that accurately models HPC jobs execution in a virtualized datacenter including power consumption modeling and obtains a power consumption reduction of 15% with respect to typical policies.

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“…The proactive-fault tolerance (P-FT) approach in [58] uses a failure-prediction technique based on the failure history of each server. Significant reduction of downtime during migration is achieved by re-configurable distributed virtual machines (RDVM) [59], [78]. Multiple server failures are addressed by high available VM placement (HA-VM-Place) [62] and VM shadow-based placement solution (VM-SBS-Place) [63].…”

Section: Techniques and Approachesmentioning

confidence: 99%

A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

Colman-Meixner

Develder

Tornatore

et al. 2016

IEEE Commun. Surv. Tutorials

127

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Abstract-Today's businesses increasingly rely on cloud computing, which brings both great opportunities and challenges. One of the critical challenges is resiliency: disruptions due to failures (either accidental or because of disasters or attacks) may entail significant revenue losses (e.g., US$ 25.5 billion in 2010 for North America). Such failures may originate at any of the major components in a cloud architecture (and propagate to others): (i) the servers hosting the application, (ii) the network interconnecting them (on different scales, inside a data center, up to wide-area connections), or (iii) the application itself. We comprehensively survey a large body of work focusing on resilience of cloud computing, in each (or a combination) of the server, network, and application components.First, we present the cloud computing architecture and its key concepts. We highlight both the infrastructure (servers, network) and application components. A key concept is virtualization of infrastructure (i.e., partitioning into logically separate units), and thus we detail the components in both physical and virtual layers. Before moving to the detailed resilience aspects, we provide a qualitative overview of the types of failures that may occur (from the perspective of the layered cloud architecture), and their consequences.The second major part of the paper introduces and categorizes a large number of techniques for cloud computing infrastructure resiliency. This ranges from designing and operating the facilities, servers, networks, to their integration and virtualization (e.g., also including resilience of the middleware infrastructure).The third part focuses on resilience in application design and development. We study how applications are designed, installed, and replicated to survive multiple physical failure scenarios as well as disaster failures.

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Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing

Cited by 32 publications

References 22 publications

A Failure Detection and Prediction Mechanism for Enhancing Dependability of Data Centers

A Failure Detection and Prediction Mechanism for Enhancing Dependability of Data Centers

Energy-Aware Scheduling in Virtualized Datacenters

A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

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