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Analysis of SaaS Business Platform Workloads for Sizing and Collocation

https://doi.org/10.1109/cloud.2012.73

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Chebyshev Inequality with Estimated Mean and Variance

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On Theory of VM Placement: Anomalies in Existing Methodologies and Their Mitigation Using a Novel Vector Based Approach

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Workload Analysis and Demand Prediction of Enterprise Data Center Applications

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Dynamic Placement of Virtual Machines for Managing SLA Violations

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Capacity and Performance Overhead in Dynamic Resource Allocation to Virtual Containers

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Colocation as a Service: Strategic and Operational Services for Cloud Colocation

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Application Performance Management in Virtualized Server Environments

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Managing energy and server resources in hosting centers

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Characterization of a large web site population with implications for content delivery

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Performance Implications from Sizing a VM on Multi-core Systems: A Data Analytic Application's View

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Keep it moving: Proactive workload management for reducing SLA violations in large scale SaaS clouds

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CompVM: A Complementary VM Allocation Mechanism for Cloud Systems

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