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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hui Zhang Guofei Jiang Yoshihira, K. Haifeng Chen Saxena, A. |
| Copyright Year | 2009 |
| Abstract | We present an intelligent workload factoring service for enterprise customers to make the best use of public cloud services along with their privately-owned (legacy) data centers.It enables federation between on- and off-premise infrastructures for hosting Internet-based applications,and the intelligence lies in the explicit segregation of {\em base} workload and {\em trespassing} workload,the two naturally different components composing the application workload and distribution into two separate resource zones with specialized management optimization techniques.The core technology of the intelligent workload factoring service is a fast frequent data item detection algorithm,which enables factoring incoming requests not only on volume but also on data content,upon {\em changing} application data popularity. |
| Starting Page | 701 |
| Ending Page | 708 |
| File Size | 392747 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769537085 |
| DOI | 10.1109/SERVICES-I.2009.26 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Laboratories Technology management Computer architecture National electric code Streaming media Load management Randomized algorithms Workload management Internet Resource management Load balancing Detection algorithms |
| Content Type | Text |
| Resource Type | Article |
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