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IEEE Final Year Project Topics for CSE

Base Paper Title

MemepiC: Towards a Unified In-Memory Big Data Management System

Our Title

IEEE Project Abstract

In-memory data management systems have recently gained a lot of traction due to cheaper and faster DRAM and other hardware advancement. However, these systems are either pure storage systems with online data query service, or just offline batch processing systems with data analytics functionality. Heavy data movement (e.g., data loading) occurs in order to analyze the data. In this paper, we propose an innovative in-memory data management system -- MemepiC, which unifies both online data query and data analytics functionality, allowing low-latency storage service and efficient in-situ data analytics. We also explore the recent emerging RDMA technique in the context of in-memory data management systems, by designing an RDMA-based communication protocol for message delivery inside MemepiC, and proposing to overlap execution and RDMA communication. Extensive experiments are conducted to show the superior performance of MemepiC in terms of both the storage and the data analytics services, compared against other in-memory systems.In-memory data management systems have recently gained a lot of traction due to cheaper and faster DRAM and other hardware advancement. However, these systems are either pure storage systems with online data query service, or just offline batch processing systems with data analytics functionality. Heavy data movement (e.g., data loading) occurs in order to analyze the data. In this paper, we propose an innovative in-memory data management system -- MemepiC, which unifies both online data query and data analytics functionality, allowing low-latency storage service and efficient in-situ data analytics. We also explore the recent emerging RDMA technique in the context of in-memory data management systems, by designing an RDMA-based communication protocol for message delivery inside MemepiC, and proposing to overlap execution and RDMA communication. Extensive experiments are conducted to show the superior performance of MemepiC in terms of both the storage and the data analytics services, compared against other in-memory systems.

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