Balanced memory architecture for high I/O intensive information services for autonomous decentralized system

The increasing disparity between CPU speed and storage system require novel techniques to achieve high I/Os for computing systems with high assurance properties, such as timeliness, fault tolerance and online expansion. Proposed architecture is balanced memory architecture which is for high I/O(Input Output) intensive Autonomous Decentralized System using Data Transmission System memory concept in DF (Data Field) to achieve timeliness in information systems to solve today's High I/O intensive application market demand. The proposed architecture also implements two new memory caches in the system, namely L ₃ that works at local memory level and L₄, on top of HDD. Moreover, the proposed.-high I/O intensive distributed system concept called Autonomous Decentralized Data Transmission System (ADDTS) that is composed of triosubsystems with three autonomous decentralized remote storage nodes. These remote storage nodes have online expansion technique for storage system to improve system capacity. Therefore, the proposed system architecture solves previous issues and it achieves flexible data storage system that increases or decreases its capacity as per the requirements. The I/O performance evaluation shows significant enhancement over the traditional computing and ADS systems.