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PIQL: Success-Tolerant Query Processing in the Cloud [article]

Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson
2011 arXiv   pre-print
independence in the process.  ...  In this paper, we present the PIQL query processing system and evaluate its scale independence on hundreds of machines using two benchmarks, TPC-W and SCADr.  ...  ACKNOWLEDGMENTS We would like to thank the following people, along with the reviewers, for feedback that significantly improved the content of this paper: Bill Bolosky, Henry Cook, Michael Jordan, Kimberly  ... 
arXiv:1111.7166v1 fatcat:uijb7rd7ffgalhj4cjgsfqkipe

PIQL

Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson
2011 Proceedings of the VLDB Endowment  
independence in the process.  ...  In this paper, we present the PIQL query processing system and evaluate its scale independence on hundreds of machines using two benchmarks, TPC-W and SCADr.  ...  ACKNOWLEDGMENTS We would like to thank the following people, along with the reviewers, for feedback that significantly improved the content of this paper: Bill Bolosky, Henry Cook, Michael Jordan, Kimberly  ... 
doi:10.14778/2078331.2078334 fatcat:hximwyzejbeh7ig4hp4g5id7ti

The case for PIQL

Michael Armbrust, Nick Lanham, Stephen Tu, Armando Fox, Michael J. Franklin, David A. Patterson
2010 Proceedings of the 1st ACM symposium on Cloud computing - SoCC '10  
We propose PIQL, a Performance Insightful Query Language that allows developers to express many queries found on these websites while still providing strict bounds on the number of I/O operations that  ...  For complex queries, this approach often requires onerous explicit index management and imperative data lookup by the developer.  ...  This research is supported in part by gifts from Sun Microsystems, Google, Microsoft, Amazon Web Services, Cisco Systems, Cloudera, eBay, Facebook, Fujitsu, Hewlett-Packard, Intel, Network Appliance, SAP  ... 
doi:10.1145/1807128.1807149 dblp:conf/cloud/ArmbrustLTFFP10 fatcat:jzcx2ti4zfcifk6abq3vzsxwfu

Data Management in the Cloud: Promises, State-of-the-art, and Open Questions

Donald Kossmann, Tim Kraska
2010 Datenbank-Spektrum  
The focus of the paper is on database workloads; more specifically, on online transaction processing workloads (OLTP) in public clouds.  ...  Cloud Computing has the potential to significantly change the IT world. It promises dramatic reductions in cost and time-to-market.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided  ... 
doi:10.1007/s13222-010-0033-3 fatcat:uv5ksujqwvbcplnqjd3gpxduby

Clouder: a flexible large scale decentralized object store

Ricardo Vilaça, Rui Oliveira
2009 Proceedings of the Third Workshop on Dependable Distributed Data Management - WDDM '09  
This is particularly so when used in the context of a Cloud solution such as in a Platform as a Service (PaaS).  ...  The novel architecture allows to find the right trade-offs among flexible usage, efficiency, and fault-tolerance.  ...  The routing table has information about all nodes in the overlay and the query success rate depends on the accuracy of the routing table.  ... 
doi:10.1145/1518691.1518699 fatcat:bmegtojlkngnrecectx3o5d5zm

MDCC: Multi-Data Center Consistency [article]

Tim Kraska, Gene Pang, Michael J. Franklin, Samuel Madden
2012 arXiv   pre-print
MDCC can commit transactions in a single round-trip across data centers in the normal operational case.  ...  Replicating data across multiple data centers not only allows moving the data closer to the user and, thus, reduces latency for applications, but also increases the availability in the event of a data  ...  MDCC also supports a higher declarative SQL-like query language, called PIQL [10] . PIQL queries compile down to previously mentioned [10] ).  ... 
arXiv:1203.6049v1 fatcat:vorf7zi67jgnbgz4rklqupn6vu

Spark SQL

Michael Armbrust, Ali Ghodsi, Matei Zaharia, Reynold S. Xin, Cheng Lian, Yin Huai, Davies Liu, Joseph K. Bradley, Xiangrui Meng, Tomer Kaftan, Michael J. Franklin
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
Spark SQL is a new module in Apache Spark that integrates relational processing with Spark's functional programming API.  ...  Built on our experience with Shark, Spark SQL lets Spark programmers leverage the benefits of relational processing (e.g., declarative queries and optimized storage), and lets SQL users call complex analytics  ...  The work of authors Franklin and Kaftan was supported in part by: NSF CISE Expeditions Award CCF-1139158, LBNL Award 7076018, and DARPA XData Award FA8750-12-2-0331, and gifts from Amazon Web Services,  ... 
doi:10.1145/2723372.2742797 dblp:conf/sigmod/ArmbrustXLHLBMK15 fatcat:hjyxwbr6hfgrrmqa5lpi2evgcm

Report from Dagstuhl Seminar 11321 Information Management in the Cloud

Anastassia Ailamaki, Michael Carey, Donald Kossmann, Steve Loughran, Volker Markl, Epfl -Lausanne, Ch, Anastassia Ailamaki, Michael Carey, Donald Kossmann, Steve Loughran, Volker Markl (+1 others)
Dagstuhl Reports   unpublished
The Dagstuhl Seminar 11321 "Information Management in the Cloud" brought together a diverse set of researchers and practitioners with a broad range of expertise.  ...  Cloud computing is emerging as a new paradigm for highly scalable, fault-tolerant, and adaptable computing on large clusters of off-the-shelf computers.  ...  The talks presents the first results on adaptive query processing in Stratosphere.  ... 
fatcat:7wzt2qi37bbdxkf746cy363moi

Stochastic Models and Analysis for Resource Management in Server Farms

Varun Gupta
2018
In this thesis, we employ stochastic modeling and analysis techniques to understand the performance of such complex systems and to guide design of policies to optimize the performance.  ...  In this thesis we attempt to bridge some of these disconnects by bringing the stochastic modeling and analysis literature closer to the realities of today's compute server farms.  ...  Further, while a database query or a CPU intensive job may be queued for later processing, web and file download requests are latency-sensitive and must be gin processing im mediately to prevent dropped  ... 
doi:10.1184/r1/6723188.v1 fatcat:ehwlstbqz5htvghsdlvtgqdvpa