Abstract:

Big data has been a hot topic both in academia and industries. At the same time, new storages, such as flash memory and phase changing memory, are greatly changing the design and applications of both software and hardware in modern computer systems. Basically, big data management has to deal with a lot of challenges, such as energy and performance, whereas new storages are superior to traditional magnetic disks in many aspects including I/O latency and energy consumption. Therefore, researchers conduct big data management study on new storages and expect to solve the critical issues in big data management. However, so far lots of issues are still to be further explored. We summarize the stateoftheart studies in big data management over new storages, and try to answer some key questions, e.g., “What new challenges and issues are brought by introducing new storages to big data management?”, “Can we solve or partially solve the key issues in big data management by using new storages?”. Particularly, we first discuss the special features of new storages, and then present the recent research advances in storage architectures and core algorithms for big data management over new storages. Finally, some future research directions in this area are proposed, which are expected to provide useful references for the future study in big data management and newstoragebased data management.

Key words: new storage, big data management, research advances, future trend