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Efficient resource management for data centers: the ACTiCLOUD approach

Published: 15 July 2018 Publication History

Abstract

Despite their proliferation as a dominant computing paradigm, cloud computing systems lack effective mechanisms to manage their vast resources efficiently. Resources are stranded and fragmented, limiting cloud applicability only to classes of applications that pose moderate resource demands. In addition, the need for reduced cost through consolidation introduces performance interference, as multiple VMs are co-located on the same nodes. To avoid such issues, current providers follow a rather conservative approach regarding resource management that leads to significant underutilization. ACTiCLOUD is a three-year Horizon 2020 project that aims at creating a novel cloud architecture that breaks existing scale-up and share-nothing barriers and enables the holistic management of physical resources, at both local and distributed cloud site levels. This extended abstract provides a brief overview of the resource management part of ACTiCLOUD, focusing on the design principles and the components.

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ACTiCLOUD Consortium. 2018. Deliverable 1.2: ACTiCLOUD Architecture. (2018). https://acticloud.eu
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  1. Efficient resource management for data centers: the ACTiCLOUD approach

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    SAMOS '18: Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation
    July 2018
    263 pages
    ISBN:9781450364942
    DOI:10.1145/3229631
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 15 July 2018

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    Author Tags

    1. NUMA
    2. cloud computing
    3. data centers
    4. heterogeneous
    5. in-memory databases
    6. resource efficiency
    7. resource management
    8. scale-up/out

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    SAMOS XVIII
    SAMOS XVIII: Architectures, Modeling, and Simulation
    July 15 - 19, 2018
    Pythagorion, Greece

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