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Malisa Carroll Resume 4.9.16
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Malisa Carroll malisacarroll@yahoo.com
As the volume and velocity of data in the cloud is increasing, the geographical distribution of where it is produced, processed and consumed is also gaining more significance. It is getting less feasible to move data to a distant data center for processing and move output again to the consumer location. Several promising approaches including Fog Computing, Mobile Cloud Computing, Cloudlets and Nano Data Centers are instead suggesting to bring processing entities to the edge of the cloud network to reduce latency. One issue we have identified in this scenario regarding resource management is the optimal selection of processing entity count and location. Since processing entities may also be communicating among themselves and possibly with a centralized data storage, we suggest that a hierarchical caching mechanism for the distant data will increase computation performance. We formulated this problem in the third period of the thesis and planned to further study during the fourth period.
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I processed and scheduled lighting and electrical services for high end clients. The client would contact me and explain what the issue was and I would find the closest and most inexpensive contractor or subcontractor, and processed bids on jobs. Was recognized for writing a customer an email in a professional and courteous manner.
Malisa Carroll Resume 4.9.16
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Malisa Carroll malisacarroll@yahoo.com
As the volume and velocity of data in the cloud is increasing, the geographical distribution of where it is produced, processed and consumed is also gaining more significance. It is getting less feasible to move data to a distant data center for processing and move output again to the consumer location. Several promising approaches including Fog Computing, Mobile Cloud Computing, Cloudlets and Nano Data Centers are instead suggesting to bring processing entities to the edge of the cloud network to reduce latency. One issue we have identified in this scenario regarding resource management is the optimal selection of processing entity count and location. Since processing entities may also be communicating among themselves and possibly with a centralized data storage, we suggest that a hierarchical caching mechanism for the distant data will increase computation performance. We formulated this problem in the third period of the thesis and planned to further study during the fourth period.
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