Survivable Virtual Infrastructure Mapping in Virtualized Data Centers

Xu, Jiaojiao; Tang, Jian; Kwiat, Kevin; Zhang, Weiyi; Xue, Guoliang

doi:10.1109/cloud.2012.100

Cited by 68 publications

(22 citation statements)

References 18 publications

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“…Xu et al [10] proposed a VDC allocation scheme that considers embedding backup VMs and virtual links with the goal of minimizing consumed resources. However, they do not consider the availability of the physical machines and they also assume that the number of backups is known beforehand.…”

Section: Survivable Vdc Embeddingmentioning

confidence: 99%

On Achieving High Survivability in Virtualized Data Centers

Rabbani

Zhani

Boutaba

2014

IEICE Trans. Commun.

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SUMMARYAs businesses are increasingly relying on the cloud to host their services, cloud providers are striving to offer guaranteed and highlyavailable resources. To achieve this goal, recent proposals have advocated to offer both computing and networking resources in the form of Virtual Data Centers (VDCs). Subsequently, several attempts have been made to improve the availability of VDCs through reliability-aware resource allocation schemes and redundancy provisioning techniques. However, the research to date has not considered the heterogeneity of the underlying physical components. Specifically, it does not consider recent findings showing that failure rates and availability of data center equipments can vary significantly depending on various parameters including their types and ages. To address this limitation, in this paper we propose a High-availability Virtual Infrastructure management framework (Hi-VI) that takes into account the heterogeneity of cloud data center equipments to dynamically provision backup resources in order to ensure required VDC availability. Specifically, we propose a technique to compute the availability of a VDC that considers both (1) the heterogeneity of data center networking and computing equipments in terms of failure rates and availability, and (2) the number of redundant virtual nodes and links provisioned as backups. We then leverage this technique to propose an allocation scheme that jointly provisions resources for VDCs and backups of virtual components with the goal of achieving the required VDC availability while minimizing energy costs.Through simulations, we demonstrate the effectiveness of our framework compared to heterogeneity-oblivious solutions.

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Section: Survivable Vdc Embeddingmentioning

confidence: 99%

On Achieving High Survivability in Virtualized Data Centers

Rabbani

Zhani

Boutaba

2014

IEICE Trans. Commun.

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“…[26] studied the SVNE problem in the context of grid-and cloud-computing survivability over optical networks, highlighting the importance of the survivable CN mapping (SCNM) problem which combines the SVNE problem and VM survivability. In this regard, the study in [13] suggested server capacity relocation and lightpath re-provisioning for virtualized datacenters to offer survivability. Ref.…”

Section: Background and Related Workmentioning

confidence: 99%

“…CN survivability for a small number of failures in the physical infrastructure has been modeled as a survivable virtual-network embedding (SVNE) problem defined as the resilient VN mapping over the physical infrastructure to avoid disconnection due to failures [9]. Most SVNE studies considered single and multiple physical-link (-node) failures (e.g., datacenter and shared-risk group (SRG)), and a regional failure that may or may not be a disaster [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Disaster-survivable cloud-network mapping

et al. 2014

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Cloud-computing services are provided to consumers through a network of servers and network equipment. Cloud-network (CN) providers virtualize resources (e.g., virtual machine (VM) and virtual network (VN)) for efficient and secure resource allocation. Disasters are one of the worst threats for CNs as they can cause massive disruptions and CN disconnection. A disaster may also induce post-disaster correlated, cascading failures which can disconnect more CNs. Survivable virtual-network embedding (SVNE) approaches have been studied to protect VNs against single physical-link/-node and dual physicallink failures in communication infrastructure, but massive disruptions due to a disaster and their consequences can make SVNE approaches insufficient to guarantee cloudcomputing survivability.In this work, we study the problem of survivable CN mapping (SCNM) from disaster. We consider risk assessment, VM backup location, and post-disaster survivability to reduce the risk of failure and probability of CN disconnection and the penalty paid by operators due to loss of capacity. We formulate the proposed approach as an integer linear program and study two scenarios: a natural disaster, C. Colman Meixner -E-mail: cecolmanmeixner@ucdavis.edu M.F. Habib -E-mail: mfhabib@ucdavis.edu C-N. Chuah -E-mail: chuah@ucdavis.edu B. Mukherjee -E-mail: bmukherjee@ucdavis.edu University of California, Davis, USA M. Tornatore -E-mail: tornator@elet.polimi.it Politecnico di Milano, Italy F. Dikbiyik -E-mail: fdikbiyik@sakarya.edu.tr Sakarya University, Turkey e.g., earthquake and a human-made disaster, e.g., weaponsof-mass-destruction (WMD) attack. Our illustrative examples show that our approach reduces the risk of CN disconnection and penalty up to 90% compared to a baseline CN mapping approach, and increases the CN survivability up to 100% in both scenarios.

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“…The VBN technique is also often used in combination with other techniques such as VM replication, VM placement, and VM checkpoint techniques (that we have introduced before). VBN with VM replication approaches are survivable virtual infrastructure with active VM replication (SVI-Active-VM-Rep) [141] and a greedy randomized adaptive VM replication (VN-GRASP) [142]. VBN with VM checkpoint is suggested in VNsnap by [143].…”

Section: Resiliency In Cloud Integrated Infrastructurementioning

confidence: 99%

A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

Colman-Meixner

Develder

Tornatore

et al. 2016

IEEE Commun. Surv. Tutorials

130

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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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Survivable Virtual Infrastructure Mapping in Virtualized Data Centers

Cited by 68 publications

References 18 publications

On Achieving High Survivability in Virtualized Data Centers

On Achieving High Survivability in Virtualized Data Centers

Disaster-survivable cloud-network mapping

A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

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