Abstract Cluster computing applications – frameworks like MapReduce and user-facing applications like search platforms have application-level requirements and higher-level abstractions to express them. However, there exists no networking abstraction that can take advantage of the rich semantics readily available from these data parallel applications. We propose Coflow, a networking abstraction …
Abstract HP’s StoreAll with Express Query is a scalable commercial file archiving product that offers sophisticated file metadata management and search capabilities. …
A key feature of all distributed storage systems is their ability to replicate data not just across machines within a data center …
Detailed post to follow… Link to paper
Abstract This paper presents Polybase, a feature of SQL Server PDW V2 that allows users to manage and query data stored in …
With both the F1 and Spanner papers out its now possible to understand their interplay a bit holistically. So lets start by …
MillWheel is a framework for building low-latency data-processing applications that is widely used at Google. Users specify a directed computation graph and …
Abstract Diverse applications including cyber security, social networks, protein networks, recommendation systems or citation networks work with inherently graph-structured data. The graphs …
Abstract A geographically distributed system for joining multiple continuously flowing streams of data in real-time with high scalability and low latency, where …
Abstract : Phoenix, an implementation of MapReduce for shared-memory systems that includes a programming API and an efficient runtime system. The Phoenix …