Call for Papers
This year’s workshop will be a organized jointly by both ADMS and IMDM. Both workshops will share the submission site and the papers will be reviewed by the joint program committees of both workshops and published in a single joint proceedings (click here to see the ADMS workshop website). The workshop proceedings will be published via LNCS and indexed via DBLP.
Over the last 30 years, memory prices have been dropping by a factor of 10 every 5 years. Main memory is the “new disk” for data storage. The number of I/O operations per second (IOPS) in DRAM is far greater than other storage media such as hard disks and SSDs. DRAM is readily available in the market at better price point in comparison to DRAM-alternatives. These trends make DRAM a better storage media for latency-sensitive database applications, large-scale web applications, and future applications such as wearable devices.
Most vendors have “in-memory” database products today and large-scale web-based enterprises already run their significant applications completely in memory. While such solutions exist, main-memory data management is still in a nascent stage, and research opportunities are plentiful. The Fourth International workshop on In-memory Memory Data Management and Analytics (IMDM 2016) aims to bring together researchers and practitioners interested in the proliferation of in-memory data management and analytics infrastructures.
The workshop invites researchers and practitioners to submit papers covering research challenges, novel ideas and methodologies that can advance the state-of-the-art in main memory data management and analytics.
Topics of Interest
Relevant topics include, but are not limited to, the following:
- Novel system architectures
- Indexes and data access methods
- Concurrency Control
- Data models and data representation
- Data recovery
- Execution flow path and scheduling
- Storage compression
- Distributed transactions and coordination
- Query processing and optimization