%0 Conference Proceedings
%T Autonomous Multi-dimensional Slicing for Large-Scale Distributed Systems
%+ École normale supérieure - Rennes (ENS Rennes)
%+ Institute for Systems and Computer Engineering, Technology and Science [Porto] (INESC TEC)
%+ Université de Neuchâtel = University of Neuchatel (UNINE)
%A Pasquet, Mathieu
%A Maia, Francisco
%A Rivière, Etienne
%A Schiavoni, Valerio
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 4th International Conference on Distributed Applications and Interoperable Systems (DAIS)
%C Berlin, Germany
%Y David Hutchison
%Y Takeo Kanade
%Y Bernhard Steffen
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Gerhard Weikum
%Y Kostas Magoutis
%Y Peter Pietzuch
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Alfred Kobsa
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%I Springer
%3 Distributed Applications and Interoperable Systems
%V LNCS-8460
%P 141-155
%8 2014-06-03
%D 2014
%R 10.1007/978-3-662-43352-2_12
%K Slicing
%K Self-organization
%K Skyline
%K Gossip-based protocols
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Slicing is a distributed systems primitive that allows to autonomously partition a large set of nodes based on node-local attributes. Slicing is decisive for automatically provisioning system resources for different services, based on their requirements or importance. One of the main limitations of existing slicing protocols is that only single dimension attributes are considered for partitioning. In practical settings, it is often necessary to consider best compromises for an ensemble of metrics.In this paper we propose an extension of the slicing primitive that allows multi-attribute distributed systems slicing.Our protocol employs a gossip-based approach that does not require centralized knowledge and allows self-organization. It leverages the notion of domination between nodes, forming a partial order between multi-dimensional points, in a similar way to SkyLine queries for databases. We evaluate and demonstrate the interest of our approach using large-scale simulations.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-01287739/document
%2 https://inria.hal.science/hal-01287739/file/326177_1_En_12_Chapter.pdf
%L hal-01287739
%U https://inria.hal.science/hal-01287739
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-LNCS-8460
%~ IFIP-TC6
%~ IFIP-WG6-1
%~ UNIV-RENNES