Map cache management using dual granularity for mobile storage systems


NAND flash recollections are utilized in many mobile consumer devices as storage media as a result of they are tiny, fast, shock-resistant, and energy-economical. However, the flash storage systems primarily based on these flash devices would like a special software layer, the FTL, to translate logical addresses from a bunch system to physical addresses in NAND flash recollections. Recently, the flash storage systems in mobile devices tend to use a page-level mapping theme as they're needed to yield higher access bandwidth. Unlike common SSDs, that typically keep the bulk of mapping info in fast but volatile DRAM, the flash storage systems in mobile shopper devices keep only a limited subset of mapping info during a tiny-sized SRAM because of the restrictions in size, value, and power consumption. For this reason, many cache management schemes proposed for SSDs may not be suitable for the flash storage systems in mobile consumer devices, though most map cache management schemes employed in mobile storage are basically designed for SSD. This paper proposes a unique cache management theme targeting mobile shopper devices. The proposed theme uses completely different management granularities in allocating and evacuating cache house. Experimental results show that the proposed theme improves map cache performance by up to thirty sixp.c compared to the present cache management techniques.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Feature Map Quality Score Estimation Through Regression - 2018ABSTRACT:Understanding the visual quality of a feature map plays a important role in many active vision applications. Previous works mostly rely on object-level
PROJECT TITLE :Automatic Radio Map Adaptation for Indoor Localization Using Smartphones - 2018ABSTRACT:The proliferation of mobile computing has prompted WiFi-primarily based indoor localization to be one of the most enticing
PROJECT TITLE :Lime: Low-Light Image Enhancement Via Illumination Map Estimation - 2017ABSTRACT:When one captures pictures in low-lightweight conditions, the photographs typically suffer from low visibility. Besides degrading
PROJECT TITLE :Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering - 2017ABSTRACT:Underwater optical cameras are widely used for security monitoring in ocean, like earthquake prediction
PROJECT TITLE :Image Co-Saliency Detection Via Locally Adaptive Saliency Map Fusion - 2017ABSTRACT:Co-saliency detection aims at discovering the common and salient objects in multiple pictures. It explores not solely intra-image

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry