Data analytics and enterprise applications have very different storage functionality requirements. For this reason, enterprise deployments of data analytics are on a separate storage silo. This may generate additional costs and inefficiencies in data management, e.g., whenever data needs to be archived, copied, or migrated across silos. We introduce MixApart, a scalable data processing framewor...

We discuss issues and technologies for implementing and applying distributed, high-performance storage systems. We review a range of software systems for distributed storage management, and summarise what we believe to be the most important issues and the outstanding problems in distributed storage research. We outline our vision for integrated storage management that is compatible with our DIS...

This paper presents a set of models dedicated to describe a flash storage subsystem structure, functions, performance and power consumption behaviors. These models cover a large range of today's NAND flash memory applications. They are designed to be implemented in simulation tools allowing to estimate and compare performance and power consumption of I/O requests on flash memory based storage s...

Data management in wireless sensor networks has been an area of significant research in recent years. Many existing sensor data management systems view sensor data as a continuous stream that is sensed, filtered, processed, and aggregated as it “flows” from sensors to users. We argue that technology trends in flash memories and embedded platforms call for re-thinking this architecture. We artic...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In advancement of digital era and storage technology, large-set of image data are being generated now a days, image dataset categories like bio images, satellite images each dataset contains hundreds of images for processing or study. With such fas...

This paper reviews the most important energy storage systems for applications in residential environments. Normally, these systems are associated with renewable energy in order to achieve specific characteristics, although new possibilities and challenges are implemented over them in any residential places. Nowadays, the development of such kind of energy systems represents a technical challeng...

Managing power generation from wind is conceptually straightforward: generate and sell as much electricity as possible when prices are positive, and do nothing otherwise. However, this strategy leads to curtailment when wind energy exceeds the transmission capacity or when prices are negative, and possible revenue dilution when current prices are low but are expected to increase in the future. ...

now a days, plenty of users area unit storing their data’s in cloud, as a result of it provides storage flexibility. However the most drawbacks in cloud are information security. Cipher text-Policy Attribute-based cryptography (CP-ABE) is thought to be one among the foremost appropriate technologies for information access management in cloud storage; as a result of it offers information house o...