The Big Store
نویسندگان
چکیده
منابع مشابه
S-Store: A Streaming NewSQL System for Big Velocity Applications
First-generation streaming systems did not pay much attention to state management via ACID transactions (e.g., [3, 4]). S-Store is a data management system that combines OLTP transactions with stream processing. To create S-Store, we begin with H-Store, a main-memory transaction processing engine, and add primitives to support streaming. This includes triggers and transaction workflows to imple...
متن کاملImpression Store: Compressive Sensing-based Storage for Big Data Analytics
For many big data analytics workloads, approximate results suffice. This begs the question, whether and how the underlying system architecture can take advantage of such relaxations, thereby lifting constraints inherent in today’s architectures. This position paper explores one of the possible directions. Impression Store is a distributed storage system with the abstraction of big data vectors....
متن کاملHardware Accelerated Cloud Data Store for Data Mining over Big Spatio-Temporal Data
The recent proliferation of devices that are capable of sending information about their location over time, e.g., GPS-equipped smartphones, has turned big spatio-temporal data processing into a mainstream and highly relevant class of applications. Recent literature in the area of big data has focused on how to exploit recent hardware trends/mechanism to accelerate big data processing. In this t...
متن کاملCone Snails: A Big Store of Conotoxins for Novel Drug Discovery
Marine drugs have developed rapidly in recent decades. Cone snails, a group of more than 700 species, have always been one of the focuses for new drug discovery. These venomous snails capture prey using a diverse array of unique bioactive neurotoxins, usually named as conotoxins or conopeptides. These conotoxins have proven to be valuable pharmacological probes and potential drugs due to their ...
متن کاملThe WebContent XML Store
In this article, we describe the XML storage system used in the WebContent project. We begin by advocating the use of an XML database in order to store WebContent documents, and we present two different ways of storing and querying these documents : the use of a centralized XML database and the use of a P2P XML database.
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ژورنال
عنوان ژورنال: The Iowa Review
سال: 1976
ISSN: 0021-065X,2330-0361
DOI: 10.17077/0021-065x.1963