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Runtime Virtual Machine Recontextualization for Clouds
University of Leeds.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
University of Leeds.
Show others and affiliations
2013 (English)In: Euro-Par 2012: Parallel Processing Workshops: Euro-Par 2012: Parallel Processing Workshops , volume 7640 / [ed] Caragiannis et al., Springer Berlin/Heidelberg, 2013, 567-576 p.Conference paper, Published paper (Refereed)
Abstract [en]

We introduce and define the concept of recontextualization for cloud applications by extending contextualization, i.e. the dynamic configuration of virtual machines (VM) upon initialization, with autonomous updates during runtime. Recontextualization allows VM images and instances to be dynamically re-configured without restarts or downtime, and the concept is applicable to all aspects of configuring a VM from virtual hardware to multi-tier software stacks. Moreover, we propose a runtime cloud recontextualization mechanism based on virtual device management that enables recontextualization without the need to customize the guest VM. We illustrate our concept and validate our mechanism via a use case demonstration: the reconfiguration of a cross-cloud migratable monitoring service in a dynamic cloud environment. We discuss the details of the interoperable recontextualization mechanism, its architecture and demonstrate a proof of concept implementation. A performance evaluation illustrates the feasibility of the approach and shows that the recontextualization mechanism performs adequately with an overhead of 18% of the total migration time.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. 567-576 p.
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 7640 LNCS
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-80127DOI: 10.1007/978-3-642-36949-0_66ISBN: 978-3-642-36948-3 (print)ISBN: 978-3-642-36949-0 (print)OAI: oai:DiVA.org:umu-80127DiVA: diva2:646916
Conference
Parallel Processing Workshops, Euro-Par 2012: BDMC 2012, CGWS 2012, HeteroPar 2012, HiBB 2012, OMHI 2012, Paraphrase 2012, PROPER 2012, Resilience 2012, UCHPC 2012, VHPC 2012, 27 August 2012 through 31 August 2012, Rhodes Island
Funder
EU, FP7, Seventh Framework Programme, 257115
Available from: 2013-09-10 Created: 2013-09-10 Last updated: 2013-11-21Bibliographically approved
In thesis
1. Enabling Technologies for Management of Distributed Computing Infrastructures
Open this publication in new window or tab >>Enabling Technologies for Management of Distributed Computing Infrastructures
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Computing infrastructures offer remote access to computing power that can be employed, e.g., to solve complex mathematical problems or to host computational services that need to be online and accessible at all times. From the perspective of the infrastructure provider, large amounts of distributed and often heterogeneous computer resources need to be united into a coherent platform that is then made accessible to and usable by potential users. Grid computing and cloud computing are two paradigms that can be used to form such unified computational infrastructures.

Resources from several independent infrastructure providers can be joined to form large-scale decentralized infrastructures. The primary advantage of doing this is that it increases the scale of the available resources, making it possible to address more complex problems or to run a greater number of services on the infrastructures. In addition, there are advantages in terms of factors such as fault-tolerance and geographical dispersion. Such multi-domain infrastructures require sophisticated management processes to mitigate the complications of executing computations and services across resources from different administrative domains.

This thesis contributes to the development of management processes for distributed infrastructures that are designed to support multi-domain environments. It describes investigations into how fundamental management processes such as scheduling and accounting are affected by the barriers imposed by multi-domain deployments, which include technical heterogeneity, decentralized and (domain-wise) self-centric decision making, and a lack of information on the state and availability of remote resources.

Four enabling technologies or approaches are explored and developed within this work: (I) The use of explicit definitions of cloud service structure as inputs for placement and management processes to ensure that the resulting placements respect the internal relationships between different service components and any relevant constraints. (II) Technology for the runtime adaptation of Virtual Machines to enable the automatic adaptation of cloud service contexts in response to changes in their environment caused by, e.g., service migration across domains. (III) Systems for managing meta-data relating to resource usage in multi-domain grid computing and cloud computing infrastructures. (IV) A global fairshare prioritization mechanism that enables computational jobs to be consistently prioritized across a federation of several decentralized grid installations.

Each of these technologies will facilitate the emergence of decentralized computational infrastructures capable of utilizing resources from diverse infrastructure providers in an automatic and seamless manner.

Place, publisher, year, edition, pages
Umeå: Umeå Universitet, 2013. 64 p.
Series
Report / UMINF, ISSN 0348-0542 ; 13.19
Keyword
grid computing, cloud computing, accounting, billing, contextualization, monitoring, structure, fairshare, scheduling, federated
National Category
Computer Science
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-80129 (URN)978-91-7459-704-2 (ISBN)
Public defence
2013-10-17, KBC-huset, Stora hörsalen KBC, KB3B1, Umeå Universitet, Umeå, 13:15 (English)
Opponent
Supervisors
Funder
EU, FP7, Seventh Framework Programme, 215605EU, FP7, Seventh Framework Programme, 257115Swedish Research Council, 621-2005-3667eSSENCE - An eScience Collaboration
Note

Note that the author changed surname from Henriksson to Espling in 2011

Available from: 2013-09-23 Created: 2013-09-10 Last updated: 2013-09-19Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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