Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Generating representative Web workloads for network and server performance evaluation
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
On the scale and performance of cooperative Web proxy caching
Proceedings of the seventeenth ACM symposium on Operating systems principles
Flash crowds and denial of service attacks: characterization and implications for CDNs and web sites
Proceedings of the 11th international conference on World Wide Web
Diagnosing network-wide traffic anomalies
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Dynamic Provisioning of Multi-tier Internet Applications
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Web servers under overload: How scheduling can help
ACM Transactions on Internet Technology (TOIT)
Dynamo: amazon's highly available key-value store
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Injecting realistic burstiness to a traditional client-server benchmark
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
The SCADS director: scaling a distributed storage system under stringent performance requirements
FAST'11 Proceedings of the 9th USENIX conference on File and stroage technologies
DejaVu: accelerating resource allocation in virtualized environments
ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
Extracting flexible, replayable models from large block traces
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
An efficient overload control strategy in cloud
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
When average is not average: large response time fluctuations in n-tier systems
Proceedings of the 9th international conference on Autonomic computing
The Yahoo!: cloud datastore load balancer
Proceedings of the fourth international workshop on Cloud data management
Heterogeneity and dynamicity of clouds at scale: Google trace analysis
Proceedings of the Third ACM Symposium on Cloud Computing
Event aware workload prediction: a study using auction events
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Hardware-in-the-loop simulation for automated benchmarking of cloud infrastructures
Proceedings of the Winter Simulation Conference
SWAT: a lightweight load balancing method for multitenant databases
Proceedings of the 16th International Conference on Extending Database Technology
Position paper: cloud system deployment and performance evaluation tools for distributed databases
Proceedings of the 2013 international workshop on Hot topics in cloud services
Characterizing tenant behavior for placement and crisis mitigation in multitenant DBMSs
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
ElastMan: elasticity manager for elastic key-value stores in the cloud
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles
ACM SIGOPS 24th Symposium on Operating Systems Principles
SPANStore: cost-effective geo-replicated storage spanning multiple cloud services
Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles
Introducing service-level awareness in the cloud
Proceedings of the 4th annual Symposium on Cloud Computing
Towards detecting software performance anti-patterns using classification techniques
ACM SIGSOFT Software Engineering Notes
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Evaluating the resiliency of stateful Internet services to significant workload spikes and data hotspots requires realistic workload traces that are usually very difficult to obtain. A popular approach is to create a workload model and generate synthetic workload, however, there exists no characterization and model of stateful spikes. In this paper we analyze five workload and data spikes and find that they vary significantly in many important aspects such as steepness, magnitude, duration, and spatial locality. We propose and validate a model of stateful spikes that allows us to synthesize volume and data spikes and could thus be used by both cloud computing users and providers to stress-test their infrastructure.