ACM Transactions on Computer Systems (TOCS)
A decomposition approach for stochastic reward net models
Performance Evaluation
Markov regenerative stochastic Petri nets
Performance '93 Proceedings of the 16th IFIP Working Group 7.3 international symposium on Computer performance modeling measurement and evaluation
Sufficient Conditions for Existence of a Fixed Point in Stochastic Reward Net-Based Iterative Models
IEEE Transactions on Software Engineering - Special issue: best papers of the sixth international workshop on Petri nets and performance models (PNPM'95)
The cost of doing science on the cloud: the Montage example
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
SHARPE at the age of twenty two
ACM SIGMETRICS Performance Evaluation Review
Service Performance and Analysis in Cloud Computing
SERVICES '09 Proceedings of the 2009 Congress on Services - I
Markovian arrival process parameter estimation with group data
IEEE/ACM Transactions on Networking (TON)
Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Web Server Farm in the Cloud: Performance Evaluation and Dynamic Architecture
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Proceedings of the Third Annual ACM Bangalore Conference
WAINA '10 Proceedings of the 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops
How to Enhance Cloud Architectures to Enable Cross-Federation
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
PRDC '10 Proceedings of the 2010 IEEE 16th Pacific Rim International Symposium on Dependable Computing
On the Performance Variability of Production Cloud Services
CCGRID '11 Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Proceedings of the 2nd ACM Symposium on Cloud Computing
Improving per-node efficiency in the datacenter with new OS abstractions
Proceedings of the 2nd ACM Symposium on Cloud Computing
Multi-dimensional SLA-Based Resource Allocation for Multi-tier Cloud Computing Systems
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
What Are You Paying For? Performance Benchmarking for Infrastructure-as-a-Service Offerings
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
Performance Modeling of Virtual Machine Live Migration
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
Cost-Wait Trade-Offs in Client-Side Resource Provisioning with Elastic Clouds
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
An Efficient Sensitivity Analysis Method for Large Cloud Simulations
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
Resource and virtualization costs up in the cloud: Models and design choices
DSN '11 Proceedings of the 2011 IEEE/IFIP 41st International Conference on Dependable Systems&Networks
Power-performance trade-offs in IaaS cloud: A scalable analytic approach
DSNW '11 Proceedings of the 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops
Magnifier: Online Detection of Performance Problems in Large-Scale Cloud Computing Systems
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
Performance combinative evaluation of typical virtual machine monitors
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
Evaluating energy consumption in a Cloud infrastructure
WOWMOM '11 Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
SP 800-144. Guidelines on Security and Privacy in Public Cloud Computing
SP 800-144. Guidelines on Security and Privacy in Public Cloud Computing
Pragmatic assessment of research intensive areas in cloud: a systematic review
ACM SIGSOFT Software Engineering Notes
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For Cloud based services to support enterprise class production workloads, Mainframe like predictable performance is essential. However, the scale, complexity, and inherent resource sharing across workloads make the Cloud management for predictable performance difficult. As a first step towards designing Cloud based systems that achieve such performance and realize the service level objectives, we develop a scalable stochastic analytic model for performance quantification of Infrastructure-as-a-Service (IaaS) Cloud. Specifically, we model a class of IaaS Clouds that offer tiered services by configuring physical machines into three pools with different provisioning delay and power consumption characteristics. Performance behaviors in such IaaS Clouds are affected by a large set of parameters, e.g., workload, system characteristics and management policies. Thus, traditional analytic models for such systems tend to be intractable. To overcome this difficulty, we propose a multi-level interacting stochastic sub-models approach where the overall model solution is obtained iteratively over individual sub-model solutions. By comparing with a single-level monolithic model, we show that our approach is scalable, tractable, and yet retains high fidelity. Since the dependencies among the sub-models are resolved via fixed-point iteration, we prove the existence of a solution. Results from our analysis show the impact of workload and system characteristics on two performance measures: mean response delay and job rejection probability.