Evaluating schemes for adapting to cloud dynamics using GENI Ashiwan Sivakumar, Shankaranarayanan P N, Mohammad Hajjat, Sanjay Rao
Purdue University
Enterprise Application – Day Trader
Motivation • Enterprises constantly moving applications to the cloud. - Cost savings, geo-redundancy, resilience, better service experience. • Enabling performance aware enterprise applications on the cloud. - e.g., Enterprise Resource Planning, Supply Chain Management. - Latency and availability are critical. - Complex, multi-tiered, large-scale. • How to meet stringent response time requirements in a multi-cloud environment? • Solution: Adaptive fine-grained per-component transaction splitting. • Component performance, inter and intra data-center latencies taken into account. • Minimize user response time by adapting dynamically to changes.
Experiment Topology
Evaluation strategy • Approach uses controlled and repeatable environment provided by GENI. • Integrate the system with Day Trader application. • Study the adaptability of the system in a multi data-center scenario with constant delay across one component pair. • Study the dynamic response behavior of the system by subjecting it to a Step-Up input reference waveform. • Input - Delay across a component pair changed dynamically. • Immediate goal: Analyze the dynamic behavior in a multi data-center deployment by changing delay dynamically.
• A dynamic adaptive scheme to route requests across components integrated with GENI. • Experiments conducted with the traffic controlled by the system on a single data-center. • Experiments in multi data-center deployment (Utah and Kentucky) with constant delay across intra-data-center components conducted. • A study on the dynamic response behavior of the system with emulated cross data-center and changing the delay dynamically was done. • Goals: Conduct similar experiments by varying delay dynamically in a multi data-center deployment (Utah and Kentucky). Different types of experiments to study the behavior of the system to various Input waveforms.
Time in 10 seconds
Future Work • Dynamic delay experiments on multi-datacenter GENI slice (Utah and Kentucky). • Study the behavior of the system to different reference input waveforms. • Other controlled experiments with variation of the system like multiple back end components. • Test with "external" geographically distributed users.
Evaluating schemes for adapting to cloud dynamics ...
How to meet stringent response time requirements in a multi-cloud environment? ⢠Solution: Adaptive fine-grained per-component transaction splitting. ⢠Component performance, inter and intra data-center latencies taken into account. ⢠Minimize user response time by adapting dynamically to changes. Evaluation strategy.
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