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Kimbrel et al., 2005 - Google Patents

Dynamic application placement under service and memory constraints

Kimbrel et al., 2005

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Document ID
12910093976748870645
Author
Kimbrel T
Steinder M
Sviridenko M
Tantawi A
Publication year
Publication venue
International Workshop on Experimental and Efficient Algorithms

External Links

Snippet

In this paper we consider an optimization problem which models the dynamic placement of applications on servers under two simultaneous resource requirements: one that is dependent on the loads placed on the applications and one that is independent. The …
Continue reading at ndl.ethernet.edu.et (PDF) (other versions)

Classifications

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    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
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    • G06F9/5038Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
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    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models

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