umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Managing Resource Usage and Allocations in Multi-Cluster Clouds
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. (Cloud and Grid Computing)
2013 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

 The emergence of large-scale Internet services has fueled a trend toward large-scale systems composed of geographically distributed clusters. Managing resource allocations and resource usage is an important task for such services.

Resource allocations and resource usage management mechanisms for services running across clusters play vital roles in the performance of the entire system, economical sustainability of the provider, and level of customers satisfaction provided by the system. However, when providing the utmost customer satisfaction the service provider ought to make sure not to over-commit resources beyond the agreed limit between the customer and the provider. Moreover, statistics of resources consumed by different services should be monitored and collected using an efficient mechanism with minimal overhead and interference on the system and the services. Thus, resource usage collection and allocations mechanisms should impose economical constraints to both sides, the customer and the cloud provider.

This thesis focuses on decentralized resource allocation and resource usage management for services running in multi cluster environments. Theoretical as well as experimental results indicate that our proposed approaches provide efficient management of resources for services running in a large-scale geographically distributed systems.

Ort, förlag, år, upplaga, sidor
Umeå: Umeå universitet , 2013. , s. 26
Serie
Report / UMINF, ISSN 0348-0542 ; 13.16
Nationell ämneskategori
Teknik och teknologier Datavetenskap (datalogi)
Forskningsämne
datalogi
Identifikatorer
URN: urn:nbn:se:umu:diva-87580ISBN: 978-91-7459-687-8 (tryckt)OAI: oai:DiVA.org:umu-87580DiVA, id: diva2:710096
Presentation
2013-06-13, MA121, MIT-building, Umeå University, Umeå, 10:00 (Engelska)
Opponent
Handledare
Forskningsfinansiär
EU, FP7, Sjunde ramprogrammeteSSENCE - An eScience CollaborationTillgänglig från: 2014-04-08 Skapad: 2014-04-04 Senast uppdaterad: 2018-06-08Bibliografiskt granskad
Delarbeten
1. Management of distributed resource allocations in multi-cluster environments
Öppna denna publikation i ny flik eller fönster >>Management of distributed resource allocations in multi-cluster environments
2012 (Engelska)Ingår i: Performance Computing and Communications Conference (IPCCC) 2012, 31st International, IEEE, New York, USA: IEEE , 2012, s. 275-284Konferensbidrag, Publicerat paper (Övrigt vetenskapligt)
Abstract [en]

We present a fully distributed solution for managing resource allocation for services running across multiple clusters in a large-scale cloud computing environment. Our solution allows individual services running across clusters to compete dynamically for allocations based on their rate of consumption while maintaining the global cloud level allocation limits. The solution monitors resource consumption by services that are spread over a number of clusters. Global polls are triggered only when the allocated balance in a cluster decreases below a threshold and allocations are reassigned in a manner that avoids further immediate global polls. Our solution achieves scalability by minimizing global message exchanges, increases performance by distributing requests, and improves availability by avoiding a single point of failure. We perform a range of simulations to verify the accuracy of our approach, to validate our theoretical results, and to evaluate against competing approaches.

Ort, förlag, år, upplaga, sidor
New York, USA: IEEE, 2012
Serie
2012 IEEE 31ST International performance computing and communications conference (IPCCC), ISSN 1097-2641
Nyckelord
Distributed monitoring, distributed resource allocations management, distributed quota management
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:umu:diva-66430 (URN)10.1109/PCCC.2012.6407768 (DOI)000313524400040 ()978-1-4673-4881-2 (ISBN)
Konferens
IEEE 31st International Performance Computing and Communications Conference (IPCCC)2012-12-01--03, Austin, Texas, USA
Tillgänglig från: 2013-02-22 Skapad: 2013-02-19 Senast uppdaterad: 2018-06-08Bibliografiskt granskad
2. A Scalable Accounting Solution for Prepaid Services in Cloud Systems
Öppna denna publikation i ny flik eller fönster >>A Scalable Accounting Solution for Prepaid Services in Cloud Systems
2012 (Engelska)Ingår i: Proceedings of the 2012 IEEE Ninth International Conference on Services Computing, 2012, s. 81-89Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Prepaid charging, an essential option for the accounting of cloud services, provides effective financial control for both service providers and customers. However, it has to be supported by real-time credit checking and cost calculation. These real-time actions consume resources of the providers' network and impose high overhead. To tackle this issue, we present a scalable accounting solution in which an accounting component is hosted in every cluster constituting a cloud system. Each of our accounting component supervises service consumptions based on a calculated interval of a service bundle that is composed of all services hosted in a cluster and consumed by one customer simultaneously. Credit will be re-allocated when a customer's credit in one cluster is not enough to compensate further usage, and the allocation is performed based on service consumptions. This work is intended to reduce the cost of prepaid services and to ensure service provision is not hampered by the charging part. Additionally, we perform theoretical and experimental analyses that indicate this work can provide an inexpensive accounting solution for the long-lived services in storage clouds.

Serie
SCC ’12
Nyckelord
Accounting Systems, prepaid accounting
Nationell ämneskategori
Teknik och teknologier Data- och informationsvetenskap
Identifikatorer
urn:nbn:se:umu:diva-80122 (URN)10.1109/SCC.2012.40 (DOI)978-1-4673-3049-7 (ISBN)
Konferens
IEEE Ninth International Conference on Services Computing, Honolulu, HI, 24-29 June 2012
Tillgänglig från: 2013-09-09 Skapad: 2013-09-09 Senast uppdaterad: 2018-06-08Bibliografiskt granskad
3. A synchronization mechanism for cloud accounting systems
Öppna denna publikation i ny flik eller fönster >>A synchronization mechanism for cloud accounting systems
Visa övriga...
2014 (Engelska)Ingår i: 2014 International Conference on Cloud and Autonomic Computing (ICCAC 2014), 2014, s. 111-120Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In current cloud systems, services run across multiple geographically distributed clusters and continuously generate resource usage data due to constant resource consumption. In the context of accounting, resource usage data generated from each cluster during service runtime must be collected and aggregated into a single cloud-wide record so that a single bill can be created. This paper presents a mechanism to synchronize accounting records among distributed accounting system peers. Run time resource usage generated from different clusters is synchronized to maintain a single cloud-wide view of the data so that a single bill can be created. We provide a set of accounting system requirements and an evaluation which verifies that the solution fulfills these requirements. Experimental results show that our solution produces less overhead in terms of data exchange and scales near-linearly with the size of clusters with no single point of failure.

Nyckelord
Distributed Accounting, Postpaid, Cloud, Synchronization
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
urn:nbn:se:umu:diva-87753 (URN)10.1109/ICCAC.2014.11 (DOI)000370731000016 ()978-1-4799-5841-2 (ISBN)
Konferens
2014 IEEE International Conference on Cloud and Autonomic Computing (ICCAC), Imperial College, London, ENGLAND, SEP 08-12, 2014
Tillgänglig från: 2014-04-08 Skapad: 2014-04-08 Senast uppdaterad: 2018-06-08Bibliografiskt granskad

Open Access i DiVA

fulltext(685 kB)684 nedladdningar
Filinformation
Filnamn FULLTEXT02.pdfFilstorlek 685 kBChecksumma SHA-512
cffbcf6515cf8960c846b8e6eda2b9c9c0581c8d9523c74d44ff459d9bb6cb1f883a9fa3821d9d3d82fe40624f21ca02ed99dfbefb7ba8169c67964223330d96
Typ fulltextMimetyp application/pdf

Personposter BETA

Lakew, Ewnetu Bayuh

Sök vidare i DiVA

Av författaren/redaktören
Lakew, Ewnetu Bayuh
Av organisationen
Institutionen för datavetenskap
Teknik och teknologierDatavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 684 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

isbn
urn-nbn

Altmetricpoäng

isbn
urn-nbn
Totalt: 268 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf