Data access

About: Data access is a research topic. Over the lifetime, 13141 publications have been published within this topic receiving 172859 citations. The topic is also known as: Data access.

A Modern Primer on Processing in Memory.

Abstract: Modern computing systems are overwhelmingly designed to move data to computation. This design choice goes directly against at least three key trends in computing that cause performance, scalability and energy bottlenecks: (1) data access is a key bottleneck as many important applications are increasingly data-intensive, and memory bandwidth and energy do not scale well, (2) energy consumption is a key limiter in almost all computing platforms, especially server and mobile systems, (3) data movement, especially off-chip to on-chip, is very expensive in terms of bandwidth, energy and latency, much more so than computation. These trends are especially severely-felt in the data-intensive server and energy-constrained mobile systems of today. At the same time, conventional memory technology is facing many technology scaling challenges in terms of reliability, energy, and performance. As a result, memory system architects are open to organizing memory in different ways and making it more intelligent, at the expense of higher cost. The emergence of 3D-stacked memory plus logic, the adoption of error correcting codes inside the latest DRAM chips, proliferation of different main memory standards and chips, specialized for different purposes (e.g., graphics, low-power, high bandwidth, low latency), and the necessity of designing new solutions to serious reliability and security issues, such as the RowHammer phenomenon, are an evidence of this trend. This chapter discusses recent research that aims to practically enable computation close to data, an approach we call processing-in-memory (PIM). PIM places computation mechanisms in or near where the data is stored (i.e., inside the memory chips, in the logic layer of 3D-stacked memory, or in the memory controllers), so that data movement between the computation units and memory is reduced or eliminated.

Virtual home data repository and directory

Abstract: The present invention relates to a computer accessible system for electronically storing a model which communicates the physical attributes of a structure along with warranty, insurance and other information relative to that structure. The system of the present invention integrates physical information in a model which is displayed as a physical representation of the structure with other non-physical information. Selecting specific areas of the model provides access to data regarding non-physical characteristics of that area of the structure and the contents thereof. Data relevant to warranties, insurance, maintenance or other information can be accessed by selecting portions of the model or indices attached or related to that portion. Systems of the present invention allow multiple users to remotely access the information and model via a computer network, such as the Internet, in order to make informed decisions regarding the structure and its characteristics.

Storage API for a common data platform

Abstract: An application program interface (API) for a data platform. The API includes a generic data access component that exposes at least one of stores, sessions, transactions, and query services of the data platform, which data platform is associated with a data store. A data classes component of the API provides canonical, application-independent classes that expose types and relationships of a data model of the data platform. The API includes a domain data classes component of application-specific and framework-specific classes that expose domain-specific properties and behaviors of the data platform. The data platform can be a common data platform that interfaces to the data store to provide data services accessible by a plurality of disparate application frameworks, which data services allow a corresponding application of the different frameworks to access the data store.

Ontology-based access control model for security policy reasoning in cloud computing

Abstract: There are many security issues in cloud computing service environments, including virtualization, distributed big-data processing, serviceability, traffic management, application security, access control, authentication, and cryptography, among others. In particular, data access using various resources requires an authentication and access control model for integrated management and control in cloud computing environments. Cloud computing services are differentiated according to security policies because of differences in the permitted access right between service providers and users. RBAC (Role-based access control) and C-RBAC (Context-aware RBAC) models do not suggest effective and practical solutions for managers and users based on dynamic access control methods, suggesting a need for a new model of dynamic access control that can address the limitations of cloud computing characteristics. This paper proposes Onto-ACM (ontology-based access control model), a semantic analysis model that can address the difference in the permitted access control between service providers and users. The proposed model is a model of intelligent context-aware access for proactively applying the access level of resource access based on ontology reasoning and semantic analysis method.