Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • 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
  • rtf
ACTiCLOUD: Enabling the Next Generation of Cloud Applications
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Show others and affiliations
2017 (English)In: 2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2017) / [ed] Lee, K Liu, L, IEEE Computer Society, 2017, p. 1836-1845Conference paper, Published paper (Refereed)
Abstract [en]

Despite their proliferation as a dominant computing paradigm, cloud computing systems lack effective mechanisms to manage their vast amounts of resources efficiently. Resources are stranded and fragmented, ultimately limiting cloud systems' applicability to large classes of critical applications that pose non-moderate resource demands. Eliminating current technological barriers of actual fluidity and scalability of cloud resources is essential to strengthen cloud computing's role as a critical cornerstone for the digital economy. ACTiCLOUD proposes a novel cloud architecture that breaks the existing scale-up and share-nothing barriers and enables the holistic management of physical resources both at the local cloud site and at distributed levels. Specifically, it makes advancements in the cloud resource management stacks by extending state-of-the-art hypervisor technology beyond the physical server boundary and localized cloud management system to provide a holistic resource management within a rack, within a site, and across distributed cloud sites. On top of this, ACTiCLOUD will adapt and optimize system libraries and runtimes (e.g., JVM) as well as ACTiCLOUD-native applications, which are extremely demanding, and critical classes of applications that currently face severe difficulties in matching their resource requirements to state-of-the-art cloud offerings.

Place, publisher, year, edition, pages
IEEE Computer Society, 2017. p. 1836-1845
Series
IEEE International Conference on Distributed Computing Systems, ISSN 1063-6927
Keywords [en]
cloud computing, resource management, in-memory databases, resource disaggregation, scale-up, rackscale hypervisor
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-142014DOI: 10.1109/ICDCS.2017.252ISI: 000412759500173Scopus ID: 2-s2.0-85027287128ISBN: 978-1-5386-1791-5 (print)ISBN: 978-1-5386-1792-2 (electronic)ISBN: 978-1-5386-1793-9 (print)OAI: oai:DiVA.org:umu-142014DiVA, id: diva2:1158579
Conference
37th IEEE International Conference on Distributed Computing Systems (ICDCS), JUN 05-08, 2017, Atlanta, GA
Available from: 2017-11-20 Created: 2017-11-20 Last updated: 2023-03-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Lakew, Ewnetu BayuhElmroth, ErikTomás, Luis

Search in DiVA

By author/editor
Lakew, Ewnetu BayuhElmroth, ErikTomás, Luis
By organisation
Department of Computing Science
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 330 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • 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
  • rtf