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Towards Elastic High Performance Distributed Storage Systems in the Cloud
KTH, Skolan för informations- och kommunikationsteknik (ICT), Programvaruteknik och Datorsystem, SCS.
2015 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Stockholm: KTH Royal Institute of Technology, 2015. , s. 33
Serie
TRITA-ICT-ECS AVH, ISSN 1653-6363 ; 15:02
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-162567ISBN: 978-91-7595-466-0 (tryckt)OAI: oai:DiVA.org:kth-162567DiVA, id: diva2:797783
Presentation
2015-03-31, Sal A, KTH-ICT, Electrum, Kistagången 16, KISTA, Stockholm, 10:00 (engelsk)
Opponent
Veileder
Merknad

QC 20150325

Tilgjengelig fra: 2015-03-25 Laget: 2015-03-25 Sist oppdatert: 2018-01-11bibliografisk kontrollert
Delarbeid
1. Towards a Community Cloud Storage
Åpne denne publikasjonen i ny fane eller vindu >>Towards a Community Cloud Storage
2014 (engelsk)Inngår i: 2014 IEEE 28th International Conference on Advanced Information Networking and Applications (AINA), IEEE Computer Society, 2014, s. 837-844Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Community Clouds, usually built upon community networks, operate in a more disperse environment compared to a data center Cloud, with lower capacity and less reliable servers separated by a more heterogeneous and less predictable network interconnection. These differences raise challenges when deploying Cloud applications in a community Cloud. Open Stack Swift is an open source distributed storage system, which provides stand alone highly available and scalable storage from Open Stack Cloud computing components. Swift is initially designed as a backend storage system operating in a data center Cloud environment. In this work, we illustrate the performance and sensitivity of Open Stack Swift in a typical community Cloud setup. The evaluation of Swift is conducted in a simulated environment, using the most essential environment parameters that distinguish a community Cloud environment from a data center Cloud environment.

sted, utgiver, år, opplag, sider
IEEE Computer Society, 2014
Serie
International Conference on Advanced Information Networking and Applications. Proceedings, ISSN 1550-445X
Emneord
Community Cloud, Evaluation, OpenStack Swift
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-162243 (URN)10.1109/AINA.2014.102 (DOI)000358605300111 ()2-s2.0-84903829391 (Scopus ID)978-147993629-8 (ISBN)
Konferanse
28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014, Victoria, BC, Canada, 13 May 2014 through 16 May 2014
Merknad

QC 20150324

Tilgjengelig fra: 2015-03-24 Laget: 2015-03-24 Sist oppdatert: 2018-01-11bibliografisk kontrollert
2. Replication in Distributed Storage Systems: State of the Art, Possible Directions, and Open Issues
Åpne denne publikasjonen i ny fane eller vindu >>Replication in Distributed Storage Systems: State of the Art, Possible Directions, and Open Issues
2013 (engelsk)Inngår i: Proceedings - 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2013, IEEE , 2013, s. 225-232Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Large-scale distributed storage systems have gained increasing popularity for providing highly available and scalable services. Most of these systems have the advantages of high performance, tolerant to failures, and elasticity. These desired properties are achieved mainly by means of the proper adaptation of replication techniques. We discuss the state-of-art in replication techniques for distributed storage systems. We present and compare four representative systems in this realm. We define a design space for replication techniques, identify current limitations, challenges and open future trends.

sted, utgiver, år, opplag, sider
IEEE, 2013
Emneord
Replication, Consistency, Storage Systems, Survey
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-142595 (URN)10.1109/CyberC.2013.44 (DOI)000330634400032 ()2-s2.0-84893237146 (Scopus ID)978-0-7695-5106-7 (ISBN)
Konferanse
2013 5th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2013; Beijing; China; 10 October 2013 through 12 October 2013
Forskningsfinansiär
Swedish Foundation for Strategic Research
Merknad

QC 20140311

Tilgjengelig fra: 2014-03-11 Laget: 2014-03-07 Sist oppdatert: 2020-01-07bibliografisk kontrollert
3. GlobLease: A Globally Consistent and Elastic Storage System using Leases
Åpne denne publikasjonen i ny fane eller vindu >>GlobLease: A Globally Consistent and Elastic Storage System using Leases
2014 (engelsk)Inngår i: The 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2014), IEEE conference proceedings, 2014, s. 701-709Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The paper present GlobLease, an elastic, globally-distributed and consistent key-value store. It is organised as multiple distributed hash tables storing replicated data and namespace. Across DHTs, data lookups and accesses are processed with respect to the locality of DHT deployments. The leases enable GlobLease to provide fast and consistent read access in a global scale with reduced global communications.

sted, utgiver, år, opplag, sider
IEEE conference proceedings, 2014
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-162248 (URN)10.13140/2.1.2183.7763 (DOI)000393387400089 ()2-s2.0-84988221049 (Scopus ID)9781479976157 (ISBN)
Konferanse
The 20th IEEE International Conference on Parallel and Distributed Systems, Hsinchu, Taiwan, Dec 16–19, 2014
Merknad

QC 20150324. QC 20191028

Tilgjengelig fra: 2015-03-24 Laget: 2015-03-24 Sist oppdatert: 2019-10-28bibliografisk kontrollert
4. BwMan: Bandwidth manager for elastic services in the cloud
Åpne denne publikasjonen i ny fane eller vindu >>BwMan: Bandwidth manager for elastic services in the cloud
2014 (engelsk)Inngår i: Proceedings - 2014 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2014, IEEE , 2014, s. 217-224Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The flexibility of Cloud computing allows elastic services to adapt to changes in workload patterns in order to achieve desired Service Level Objectives (SLOs) at a reduced cost. Typically, the service adapts to changes in workload by adding or removing service instances (VMs), which for stateful services will require moving data among instances. The SLOs of a distributed Cloud-based service are sensitive to the available network bandwidth, which is usually shared by multiple activities in a single service without being explicitly allocated and managed as a resource. We present the design and evaluation of BwMan, a network bandwidth manager for elastic services in the Cloud. BwMan predicts and performs the bandwidth allocation and tradeoffs between multiple service activities in order to meet service specific SLOs and policies. To make management decisions, BwMan uses statistical machine learning (SML) to build predictive models. This allows BwMan to arbitrate and allocate bandwidth dynamically among different activities to satisfy specified SLOs. We have implemented and evaluated BwMan for the OpenStack Swift store. Our evaluation shows the feasibility and effectiveness of our approach to bandwidth management in an elastic service. The experiments show that network bandwidth management by BwMan can reduce SLO violations in Swift by a factor of two or more.

sted, utgiver, år, opplag, sider
IEEE, 2014
Emneord
Bandwidth Management, Cloud Computing, SLO
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-158088 (URN)10.1109/ISPA.2014.37 (DOI)000364951700028 ()2-s2.0-84911421776 (Scopus ID)978-147994293-0 (ISBN)
Konferanse
12th IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2014, Milan, Italy, 26 August 2014 through 28 August 2014
Merknad

QC 20141230

Tilgjengelig fra: 2014-12-30 Laget: 2014-12-22 Sist oppdatert: 2018-01-11bibliografisk kontrollert
5. ProRenaTa: Proactive and Reactive tuning to scale a Distributed Storage System
Åpne denne publikasjonen i ny fane eller vindu >>ProRenaTa: Proactive and Reactive tuning to scale a Distributed Storage System
Vise andre…
(engelsk)Manuskript (preprint) (Annet vitenskapelig)
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-162254 (URN)
Merknad

QS 2015

Tilgjengelig fra: 2015-03-24 Laget: 2015-03-24 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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