dc.contributor.author |
García-Galán, Jesús |
|
dc.contributor.author |
Pasquale, Liliana |
|
dc.contributor.author |
Trinidad, Pablo |
|
dc.contributor.author |
Ruiz-Cortés, Antonio |
|
dc.date.accessioned |
2014-06-23T15:44:19Z |
|
dc.date.available |
2014-06-23T15:44:19Z |
|
dc.date.issued |
2014 |
|
dc.identifier.uri |
http://hdl.handle.net/10344/3858 |
|
dc.description |
peer-reviewed |
en_US |
dc.description.abstract |
Multi-tenancy is a key pillar of cloud services. It allows dif-
ferent tenants to share computing resources transparently
and, at the same time, guarantees substantial cost savings
for the providers. However, from a user perspective, one of
the major drawbacks of multi-tenancy is lack of con gura-
bility. Depending on the isolation degree, the same service
instance and even the same service con guration may be
shared among multiple tenants (i.e. shared multi-tenant ser-
vice). Moreover tenants usually have di erent - and in most
of the cases - con
icting con guration preferences. To over-
come this limitation, this paper introduces a novel approach
to support user-centric adaptation in shared multi-tenant
services. The adaptation objective aims to maximise ten-
ants' satisfaction, even when tenants and their preferences
change during the service life-time. This paper describes
how to engineer the activities of the MAPE loop to sup-
port user-centric adaptation, and focuses on the analysis of
tenants' preferences. In particular, we use a game theoretic
analysis to identify a service con guration that maximises
tenants' preferences satisfaction. We illustrate and motivate
our approach by utilising a multi-tenant desktop scenario.
Obtained experimental results demonstrate the feasibility of
the proposed analysis. |
en_US |
dc.language.iso |
eng |
en_US |
dc.publisher |
Association for Computing Machinery |
en_US |
dc.relation.ispartofseries |
SEAMS 2014 Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems;pp. 65-74 |
|
dc.relation.uri |
http://dx.doi.org/10.1145/2593929.2593930 |
|
dc.rights |
"© ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in SEAMS 2014 Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, pp. 65-74, http://dx.doi.org/10.1145/2593929.2593930 |
en_US |
dc.subject |
adaptive systems |
en_US |
dc.subject |
multi-tenancy |
en_US |
dc.subject |
cloud |
en_US |
dc.subject |
game-theory |
en_US |
dc.title |
User-centric adaptation of multi-tenant services: preference-based analysis for service reconfiguration |
en_US |
dc.type |
info:eu-repo/semantics/conferenceObject |
en_US |
dc.type.supercollection |
all_ul_research |
en_US |
dc.type.supercollection |
ul_published_reviewed |
en_US |
dc.identifier.doi |
10.1145/2593929.2593930 |
|
dc.contributor.sponsor |
FEDER |
en_US |
dc.contributor.sponsor |
SFI |
en_US |
dc.contributor.sponsor |
ERC |
en_US |
dc.relation.projectid |
TIN 2012-32273(TAPAS) |
en_US |
dc.relation.projectid |
P12-TIC-1867 (COPAS) |
en_US |
dc.relation.projectid |
TIC-5906 (THEOS) |
en_US |
dc.relation.projectid |
10/CE/I1855 |
|
dc.relation.projectid |
291652 |
|
dc.rights.accessrights |
info:eu-repo/semantics/openAccess |
en_US |