Abstract
Big data storage and sharing are becoming the major demand of the community. To overcome such issues, virtually unified data facilities are being presented with geodistributed data centers by providing the user with the single unified namespace. These unified data storage facilities lack efficient storage and analysis of data. To address these shortcomings in such unified data facilities, we designed and implemented time optimization model which minimizes the job execution time whereby selecting optimal data center with constraints of storage, computational and network bandwidth among all data centers. Our extensive simulation results show that our model provides the optimal decision that leads to minimal end-to-end data placement and analysis times.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 140-141 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781509036530 |
| DOIs | |
| State | Published - Dec 6 2016 |
| Externally published | Yes |
| Event | 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016 - Taipei, Taiwan, Province of China Duration: Sep 13 2016 → Sep 15 2016 |
Publication series
| Name | Proceedings - IEEE International Conference on Cluster Computing, ICCC |
|---|---|
| ISSN (Print) | 1552-5244 |
Conference
| Conference | 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 09/13/16 → 09/15/16 |
Funding
This work was supported by the Institute for Information & communications Technology Promotion (IITP) grant (No. R0190- 15-2012) and National Research Foundation of Korea (NRF) grant (No. 2015R1C1A1A0152105), and partially by the Ajou University research fund.