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A Model of High Availability Cloud System

Agenda. Why HA cloud?A Model of HA cloud systemMonte Carlo simulationsRelated Work. Why HA Cloud?. Performance degradation of virtualized resources[Sterling, 2009]:

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A Model of High Availability Cloud System

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    1. A Model of High Availability Cloud System Presenter: Mikael Fernandus Simalango WISE Research Lab

    2. Agenda Why HA cloud? A Model of HA cloud system Monte Carlo simulations Related Work

    3. Why HA Cloud? Performance degradation of virtualized resources [Sterling, 2009]: “Virtualization limits knowledge of the underlying system details and incurs performance costs.” “Increased sharing of system resources by concurrent users will strain the available network bandwidth.” [Somani, 2009]: “Xen in many domain environments provide good isolation when running high throughput and non-real time applications with credit scheduler but it becomes difficult to predict the performance and time guarantees when running soft real time applications on it” [Barker, 2010]: “The jitter and the throughput seen by a latency-sensitive application can indeed degrade due to background load from other virtual machine”

    4. Why HA Cloud? Virtualized resources are also scalable: [Jamal, 2009]: “CPU and memory intensive virtualized workloads should scale up to the memory architecture imposed limits” “Network I/O intensive workloads scale up to the available LAN or WAN based effective throughput” “Virtualization becomes a bottleneck when multiple VMs (in the same physical host) communicate”

    5. A Model of HA Cloud System Model considerations: Application domain: data intensive vs disk intensive vs CPU intensive vs network intensive vs hybrid Cloud layer perspective: fabric vs application-centric vs hybrid Approach: optimization vs redundancy vs hybrid Network size: internal vs WAN vs global Cost factor: budget-wise vs budget-agnostic Energy usage: energy-aware vs energy-unaware

    6. A Model of HA Cloud System Application domain of model: Data intensive: model can be implemented on application that handles enormous data Disk intensive: model can be implemented on application with intense disk I/O CPU intensive: model can be implemented on application that requires a lot of CPU resources Network intensive: model can be implemented on application with intense network I/O Hybrid: model can be implemented on combinations of domains above

    7. A Model of HA Cloud System Modeling from cloud layer perspective

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