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.

Data enclave and trusted path system

Abstract: A data communication system providing for the secure transfer and sharing of data via a local area network and/or a wide area network. The system includes a secure processing unit which communicates with a personal keying device and a crypto media controller attached to a user's Workstation. The communication between these processing elements generates a variety of data elements including keys, identifiers, and attributes. The data elements are used to identify and authenticate the user, assign user security access rights and privileges, and assign media and device attributes to a data access device according to a predefined security policy. The data elements are manipulated, combined, protected, and distributed through the network to the appropriate data access devices, which prevents the user from obtaining unauthorized data.

MICA: a holistic approach to fast in-memory key-value storage

Abstract: MICA is a scalable in-memory key-value store that handles 65.6 to 76.9 million key-value operations per second using a single general-purpose multi-core system. MICA is over 4-13.5x faster than current state-of-the-art systems, while providing consistently high throughput over a variety of mixed read and write workloads.MICA takes a holistic approach that encompasses all aspects of request handling, including parallel data access, network request handling, and data structure design, but makes unconventional choices in each of the three domains. First, MICA optimizes for multi-core architectures by enabling parallel access to partitioned data. Second, for efficient parallel data access, MICA maps client requests directly to specific CPU cores at the server NIC level by using client-supplied information and adopts a light-weight networking stack that bypasses the kernel. Finally, MICA's new data structures--circular logs, lossy concurrent hash indexes, and bulk chaining--handle both read-and write-intensive workloads at low overhead.

Context-aware wireless sensor networks for assisted living and residential monitoring

Abstract: Improving the quality of healthcare and the prospects of "aging in place" using wireless sensor technology requires solving difficult problems in scale, energy management, data access, security, and privacy. We present AlarmNet, a novel system for assisted living and residential monitoring that uses a two-way flow of data and analysis between the front- and back-ends to enable context-aware protocols that are tailored to residents' individual patterns of living. AlarmNet integrates environmental, physiological, and activity sensors in a scalable heterogeneous architecture. The SenQ query protocol provides real-time access to data and lightweight in-network processing. Circadian activity rhythm analysis learns resident activity patterns and feeds them back into the network to aid context-aware power management and dynamic privacy policies.

Cellular Census: Explorations in Urban Data Collection

Abstract: Much of our understanding of urban systems comes from traditional data collection methods such as surveys by person or phone. These approaches can provide detailed information about urban behaviors, but they're hard to update and might limit results to "snapshots in time." In the past few years, some innovative approaches have sought to use mobile devices to collect spatiotemporal data. But little research has been done to develop and analyze the much larger samples of existing data generated daily by mobile networks. The most common explanation for this is that the challenge of data-sharing with the telecommunications industry has hampered data access. However, in early 2006, a collaboration between Telecom Italia, which serves 40 percent of the Roman market, and MIT's SKNSEable City Laboratory (http://senseable.mit.edu) allowed unprecedented access to aggregate mobile phone data from Rome. Here, we explore how researchers might be able to use data for an entire metropolitan region to analyze urban dynamics.

Schema-based services for identity-based data access

Abstract: A schema-based service for Internet access to per-user services data, wherein access to data is based on each user's identity. The service includes a schema that defines rules and a structure for each user's data, and also includes methods that provide access to the data in a defined way. The services schema thus corresponds to a logical document containing the data for each user. The user manipulates (e.g., reads or writes) data in the logical document by data access requests through defined methods. In one implementation, the services schemas are arranged as XML documents, and the services provide methods that control access to the data based on the requesting user's identification, defined role and scope for that role. In this way, data can be accessed by its owner, and shared to an extent determined by the owner.