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Kimberly Keeton, Charles B. Morrey, Craig A.N. Soules, Alistair Veitch
2010 ACM SIGOPS Operating Systems Review  
In this paper, we present LazyBase, a system that allows users to trade off query performance and result freshness in order to satisfy the full range of users' goals.  ...  Initial results with LazyBase illustrate the feasibility of the pipelined model, highlight a rich space of trade-offs between result freshness and query performance, and often outperform existing solutions  ...  Acknowledgments We thank Eric Anderson, Michael Armbrust, Armando Fox, Mike Franklin, Mehul Shah, our shepherd Eno Thereska, Joe Tucek, and the anonymous reviewers for their insightful comments on earlier  ... 
doi:10.1145/1740390.1740395 fatcat:cful57yisvatnpztgtz37oikb4


James Cipar, Greg Ganger, Kimberly Keeton, Charles B. Morrey, Craig A.N. Soules, Alistair Veitch
2012 Proceedings of the 7th ACM european conference on Computer Systems - EuroSys '12  
The LazyBase scalable database system is specialized for the growing class of data analysis applications that extract knowledge from large, rapidly changing data sets.  ...  over the trade-off between latency and result freshness.  ...  This research was sponsored in part by an HP Labs Innovation Research Program award and Intel, via the Intel Science and Technology Center for Cloud Computing (ISTC-CC).  ... 
doi:10.1145/2168836.2168854 dblp:conf/eurosys/CiparGKMSV12 fatcat:i766ybhctbfs7jpyd5gth2dpme

A Survey of Large Scale Data Management Approaches in Cloud Environments

Sherif Sakr, Anna Liu, Daniel M. Batista, Mohammad Alomari
2011 IEEE Communications Surveys and Tutorials  
This has called for a paradigm shift in the computing architecture and large scale data processing mechanisms.  ...  Cloud computing is associated with a new paradigm for the provision of computing infrastructure.  ...  [50] have proposed a similar approach in a system called LazyBase that allows users to trade off query performance and result freshness.  ... 
doi:10.1109/surv.2011.032211.00087 fatcat:nlmpato6x5hdtmp5odotixjbgy

Towards Optimizing Wide-Area Streaming Analytics

Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman
2015 2015 IEEE International Conference on Cloud Engineering  
Further, the analytics requirements can be complex, with many applications requiring a combination of both real-time and historical analysis, resulting in complex tradeoffs between cost, performance, and  ...  We explore key tradeoffs and their implications for the design of next-generation scalable wide-area analytics.  ...  When to compute LazyBase [19] allows users to trade off between query latency and result freshness by extracting results from various stages of a processing pipeline.  ... 
doi:10.1109/ic2e.2015.53 dblp:conf/ic2e/HeintzCS15 fatcat:z2lzpzooqzcpdjia3lacddisba

Efficient Range-Based Storage Management for Scalable Datastores

Giorgos Margaritis, Stergios V. Anastasiadis
2014 IEEE Transactions on Parallel and Distributed Systems  
Scalable datastores are distributed storage systems capable of managing enormous amounts of structured data for online serving and analytics applications.  ...  We develop a general prototype framework and implement several representative methods as plugins to experimentally evaluate their performance under common operating conditions.  ...  Investing in knowledge society through the European Social Fund.  ... 
doi:10.1109/tpds.2013.305 fatcat:rhuktbxujvewbnhguko3y2mpy4

Modeling Large Social Networks in Context

Qirong Ho
A thorough analysis of a social network should consider both the graph and the associated side information, yet we also expect the algorithm to execute in a reasonable amount of time on even the largest  ...  on statistical models, and (2) strategies for network data representation, model design, algorithm design and distributed multi-machine programming that, together, ensure scalability to very large networks  ...  FAS [146] keeps data replicated in a number of databases, each providing a different freshness/performance tradeoff.  ... 
doi:10.1184/r1/6720683.v1 fatcat:rr6jq6ssbjefrkq4fpybc7sppa