Probability, statistics, and queueing theory with computer science applications
Probability, statistics, and queueing theory with computer science applications
httperf—a tool for measuring web server performance
ACM SIGMETRICS Performance Evaluation Review
A Comprehensive Model for Software Rejuvenation
IEEE Transactions on Dependable and Secure Computing
Measuring the capacity of a web server
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
Computational models and heuristic methods for Grid scheduling problems
Future Generation Computer Systems
Characterizing cloud computing hardware reliability
Proceedings of the 1st ACM symposium on Cloud computing
Security Models and Requirements for Healthcare Application Clouds
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Optimization of Resource Scheduling in Cloud Computing
SYNASC '10 Proceedings of the 2010 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
A tale of migration to cloud computing for sharing experiences and observations
Proceedings of the 2nd International Workshop on Software Engineering for Cloud Computing
I/O performance of virtualized cloud environments
Proceedings of the second international workshop on Data intensive computing in the clouds
Future Generation Computer Systems
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Foundations of Machine Learning
Foundations of Machine Learning
Security Issues for Cloud Computing
International Journal of Information Security and Privacy
IEEE Transactions on Parallel and Distributed Systems
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The main obstacles in mass adoption of cloud computing for database operations in healthcare organization are the data security and privacy issues. In this paper, it is shown that IT services particularly in hardware performance evaluation in virtual machine can be accomplished effectively without IT personnel gaining access to actual data for diagnostic and remediation purposes. The proposed mechanisms utilized the hypothetical data from TPC-H benchmark, to achieve 2 objectives. First, the underlying hardware performance and consistency is monitored via a control system, which is constructed using TPC-H queries. Second, the mechanism to construct stress-testing scenario is envisaged in the host, using a single or combination of TPC-H queries, so that the resource threshold point can be verified, if the virtual machine is still capable of serving critical transactions at this constraining juncture. This threshold point uses server run queue size as input parameter, and it serves 2 purposes: It provides the boundary threshold to the control system, so that periodic learning of the synthetic data sets for performance evaluation does not reach the host's constraint level. Secondly, when the host undergoes hardware change, stress-testing scenarios are simulated in the host by loading up to this resource threshold level, for subsequent response time verification from real and critical transactions.