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On the online fault-tolerant server consolidation problem

Published: 21 June 2014 Publication History

Abstract

In the server consolidation problem, the goal is to minimize the number of servers needed to host a set of clients. The clients appear in an online manner and each of them has a certain load. The servers have uniform capacity and the total load of clients assigned to a server must not exceed this capacity. Additionally, to have a fault-tolerant solution, the load of each client should be distributed between at least two different servers so that failure of one server avoids service interruption by migrating the load to the other servers hosting the respective second loads. In a simple setting, upon receiving a client, an online algorithm needs to select two servers and assign half of the load of the client to each server. We analyze the problem in the framework of competitive analysis. First, we provide upper and lower bounds for the competitive ratio of two well known heuristics which are introduced in the context of tenant placement in the cloud. In particular, we show their competitive ratios are no better than 2. We then present a new algorithm called Horizontal Harmonic and show that it has an improved competitive ratio which converges to 1.59. The simplicity of this algorithm makes it a good choice for use by cloud service providers. Finally, we prove a general lower bound that shows any online algorithm for the online fault-tolerant server consolidation problem has a competitive ratio of at least 1.42.

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Cited By

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  • (2024)Algorithms for online fault tolerance server consolidationDigital Communications and Networks10.1016/j.dcan.2024.06.007Online publication date: Jun-2024
  • (2023)SAFE: Service Availability via Failure Elimination Through VNF ScalingIEEE/ACM Transactions on Networking10.1109/TNET.2022.323348831:5(2042-2057)Online publication date: Oct-2023
  • (2023)Online Robust Bin Packing for Resource Allocation in Cloud Computing2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD57460.2023.10152004(1063-1068)Online publication date: 24-May-2023
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        cover image ACM Conferences
        SPAA '14: Proceedings of the 26th ACM symposium on Parallelism in algorithms and architectures
        June 2014
        356 pages
        ISBN:9781450328210
        DOI:10.1145/2612669
        • General Chair:
        • Guy Blelloch,
        • Program Chair:
        • Peter Sanders
        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 ACM 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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        New York, NY, United States

        Publication History

        Published: 21 June 2014

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        Author Tags

        1. competitive analysis
        2. online bin packing
        3. server consolidation

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        SPAA '14

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        SPAA '14 Paper Acceptance Rate 30 of 122 submissions, 25%;
        Overall Acceptance Rate 447 of 1,461 submissions, 31%

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        Cited By

        View all
        • (2024)Algorithms for online fault tolerance server consolidationDigital Communications and Networks10.1016/j.dcan.2024.06.007Online publication date: Jun-2024
        • (2023)SAFE: Service Availability via Failure Elimination Through VNF ScalingIEEE/ACM Transactions on Networking10.1109/TNET.2022.323348831:5(2042-2057)Online publication date: Oct-2023
        • (2023)Online Robust Bin Packing for Resource Allocation in Cloud Computing2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD57460.2023.10152004(1063-1068)Online publication date: 24-May-2023
        • (2021)An efficient fault tolerant cloud market mechanism for profit maximizationProceedings of the 18th ACM International Conference on Computing Frontiers10.1145/3457388.3458669(169-177)Online publication date: 11-May-2021
        • (2021)On the Fault-Tolerant Online Bin Packing ProblemAlgorithmic Aspects of Cloud Computing10.1007/978-3-030-93043-1_1(1-17)Online publication date: 10-Dec-2021
        • (2021)A Robust Algorithm for Multi-tenant Server ConsolidationWireless Algorithms, Systems, and Applications10.1007/978-3-030-86137-7_60(566-573)Online publication date: 9-Sep-2021
        • (2021) A predictive replication for multi‐tenant databases using deep learning Concurrency and Computation: Practice and Experience10.1002/cpe.622633:13Online publication date: 12-Feb-2021
        • (2019)SAFEProceedings of the 48th International Conference on Parallel Processing10.1145/3337821.3337832(1-10)Online publication date: 5-Aug-2019
        • (2018)A Provident Resource Defragmentation Framework for Mobile Cloud ComputingIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2015.24777786:1(32-44)Online publication date: Jan-2018
        • (2018)Fully dynamic bin packing revisitedMathematical Programming10.1007/s10107-018-1325-xOnline publication date: 1-Sep-2018
        • Show More Cited By

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