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Dynamic application placement in the Mobile Cloud Network
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Distributed Systems)
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Distributed Systems)
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2017 (English)In: Future generations computer systems, ISSN 0167-739X, E-ISSN 1872-7115, Vol. 70, p. 163-177Article in journal (Refereed) Published
Abstract [en]

To meet the challenges of consistent performance, low communication latency, and a high degree of user mobility, cloud and Telecom infrastructure vendors and operators foresee a Mobile Cloud Network that incorporates public cloud infrastructures with cloud augmented Telecom nodes in forthcoming mobile access networks. A Mobile Cloud Network is composed of distributed cost- and capacityheterogeneous resources that host applications that in turn are subject to a spatially and quantitatively rapidly changing demand. Such an infrastructure requires a holistic management approach that ensures that the resident applications’ performance requirements are met while sustainably supported by the underlying infrastructure. The contribution of this paper is three-fold. Firstly, this paper contributes with a model that captures the cost- and capacity-heterogeneity of a Mobile Cloud Network infrastructure. The model bridges the Mobile Edge Computing and Distributed Cloud paradigms by modelling multiple tiers of resources across the network and serves not just mobile devices but any client beyond and within the network. A set of resource management challenges is presented based on this model. Secondly, an algorithm that holistically and optimally solves these challenges is proposed. The algorithm is formulated as an application placement method that incorporates aspects of network link capacity, desired user latency and user mobility, as well as data centre resource utilisation and server provisioning costs. Thirdly, to address scalability, a tractable locally optimal algorithm is presented. The evaluation demonstrates that the placement algorithm significantly improves latency, resource utilisation skewness while minimising the operational cost of the system. Additionally, the proposed model and evaluation method demonstrate the viability of dynamic resource management of the Mobile Cloud Network and the need for accommodating rapidly mobile demand in a holistic manner.

Place, publisher, year, edition, pages
2017. Vol. 70, p. 163-177
Keyword [en]
Cloud computing, Distributed, Edge, Graph, Infrastructure, Mobile, Mobile Cloud, Modelling, Networks, Optimisation, Placement, Telco-cloud
National Category
Communication Systems Computer Engineering
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-129247DOI: 10.1016/j.future.2016.06.021ISI: 000394401800015Scopus ID: 2-s2.0-85006970632OAI: oai:DiVA.org:umu-129247DiVA, id: diva2:1058775
Available from: 2016-12-21 Created: 2016-12-21 Last updated: 2018-06-09Bibliographically approved

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Mehta, AmardeepWadbro, EddieTordsson, JohanElmroth, Erik

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