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This is why cloud computing is still an imprecise science at best, with significant lags in performance and inconsistent performance on large-scale performance requirements (Luo, 2010). VMWare is concentrating on these aberrations in performance to create optimized product and services mix for each of their software and hardware products, looking to ensure a high level of computer capacity utilization over time. Amazon's lessons learned in managing one of the most successful e-commerce sites were directly applicable to their launching the Amazon Web Services (AWS) services that includes a large proportion of virtualization at the foundational level (Engebretson, 2011). Scalability, for Amazon, eventually meant having support for over fifty websites and thousands of transactions a second worldwide in a multitude of currencies. These lessons learned in creating what would become the first Cloud-based distributed order management system gave Amazon insights into how virtualization could transform millions of other businesses as well (Engebretson, 2011). In the story of Amazon's move into offering Amazon Web Services as a business are insights into how virtualization can be a force multiplier in the development of entirely new business models as well. If Amazon needs to closely monitor its computing capacity evaluation when moving its millions of transactions a year to the cloud, every...
The rapid growth of business intelligence (BI) on cloud-computing platform is response to the needs companies have for not only monitoring their businesses, but also monitoring how their cloud computing platforms are performing (Shen, 2011).
Conclusion
Cloud computing is changing the economics of enterprise computing (Luo, 2010). The continual transfer of computing capacity from on-premise to hosted platforms will continue, further underscoring the need for greater monitoring of cloud-based processor and system performance (Read, 2010). The bottom line is that cloud computing performance will make or break entire companies today and in the future, hence the need to closely monitor it over time.
References
Engebretson, J. (2011). Level 3 offers direct connectivity to amazon web services. Connected Planet,, n/a.
Luo, Y. (2010). Network I/O virtualization for cloud computing. It Professional Magazine, 12(5), 36-41.
Rasin, a. (2010). MapReduce and parallel DBMSs: Friends or foes? Association for Computing Machinery.Communications of the ACM, 53(1), 64.
Read, B. (2010). Buying decisions 2011: On-premises or hosted. Customer Inter@ction Solutions, 29(7), 6-9.
Third, there is no variation in the type of data in the data packets, no inclusion or exclusion of randomness in data traffic speed and availability of data interruptions. In short, the simulation lacks the randomness in workflows that actual usage of this dual processor configuration would encounter over the long-term. As a result, the performance of these simulations must be taken in that context, mindful of the limitations they
Progress and Performance Monitoring With any project that's intricate, involved and worth completing, the progress and performance need to be consistently monitored. Proper project monitoring allows all stakeholders in the project to determine if the project is on course or not. One method of monitoring the success and development of a project is via performance indicators. These indicators are flags which provide proper image of a project's impact, outcomes, outputs, and
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