Travelled to:
1 × Australia
1 × China
1 × France
1 × Germany
1 × United Kingdom
10 × USA
3 × Canada
Collaborated with:
J.M.Hellerstein M.J.Franklin P.Bailis S.Shenker A.Ghodsi M.Zaharia B.T.Loo R.Huebsch A.Fekete S.Agarwal S.Venkataraman G.Altekar R.Fox T.Roscoe R.Fonseca A.Dave A.Panda M.N.Garofalakis P.Wendell G.Ananthanarayanan R.S.Xin A.Kleiner A.Talwalkar M.I.Jordan M.Armbrust S.Madden B.Mozafari T.Condie P.Maniatis T.Das A.Davidson J.Rosen K.Ousterhout L.Popa N.Egi S.Ratnasamy P.Dutta P.Levis Ron Berenstein K.Goldberg R.Xin K.Zeng A.Konwinski A.D.Joseph R.H.Katz F.Dabek M.F.Kaashoek D.R.Karger R.Morris R.Bavishi C.Lemieux K.Sen J.E.Gonzalez D.Crankshaw H.Li T.Hunter A.P.Iyer N.Lanham C.Engle A.Lupher S.Kandula A.G.Greenberg Y.Lu B.Saha E.Harris H.Milner C.T.Ee S.Kim D.Moon A.Tavakoli D.E.Culler D.E.Gay R.Ramakrishnan A.Or B.N.Chun S.R.Jeffery S.Mardanbeigi S.C.Rhea
Talks about:
queri (6) scale (5) data (5) distribut (4) network (4) internet (3) perform (3) system (3) transact (2) interact (2)
Person: Ion Stoica
DBLP: Stoica:Ion
Contributed to:
Wrote 33 papers:
- SIGMOD-2015-BailisFFGHS #concurrent #empirical
- Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity (PB, AF, MJF, AG, JMH, IS), pp. 1327–1342.
- SIGMOD-2015-ZengADAS #analysis #big data #interactive #named #online
- G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data (KZ, SA, AD, MA, IS), pp. 913–918.
- VLDB-2015-ArmbrustDDGORSW #performance #scalability #usability
- Scaling Spark in the Real World: Performance and Usability (MA, TD, AD, AG, AO, JR, IS, PW, RX, MZ), pp. 1840–1851.
- VLDB-2015-BailisFFGHS14 #coordination #database
- Coordination Avoidance in Database Systems (PB, AF, MJF, AG, JMH, IS), pp. 185–196.
- OSDI-2014-GonzalezXDCFS #data flow #distributed #framework #graph #named
- GraphX: Graph Processing in a Distributed Dataflow Framework (JEG, RSX, AD, DC, MJF, IS), pp. 599–613.
- OSDI-2014-VenkataramanPAFS #clustering #power of #scheduling
- The Power of Choice in Data-Aware Cluster Scheduling (SV, AP, GA, MJF, IS), pp. 301–316.
- SIGMOD-2014-AgarwalMKTJMMS #approximate #performance #query #reliability
- Knowing when you’re wrong: building fast and reliable approximate query processing systems (SA, HM, AK, AT, MIJ, SM, BM, IS), pp. 481–492.
- SIGMOD-2014-BailisFHGS #scalability #transaction
- Scalable atomic visibility with RAMP transactions (PB, AF, JMH, AG, IS), pp. 27–38.
- VLDB-2014-BailisDFGHS13 #transaction
- Highly Available Transactions: Virtues and Limitations (PB, AD, AF, AG, JMH, IS), pp. 181–192.
- KDD-2013-KleinerTASJ #performance
- A general bootstrap performance diagnostic (AK, AT, SA, IS, MIJ), pp. 419–427.
- SIGMOD-2013-BailisGHS #consistency
- Bolt-on causal consistency (PB, AG, JMH, IS), pp. 761–772.
- SIGMOD-2013-BailisVFHS #consistency #data transformation #metric
- PBS at work: advancing data management with consistency metrics (PB, SV, MJF, JMH, IS), pp. 1113–1116.
- SIGMOD-2013-XinRZFSS #named #scalability #sql
- Shark: SQL and rich analytics at scale (RSX, JR, MZ, MJF, SS, IS), pp. 13–24.
- SOSP-2013-OusterhoutWZS #distributed #latency #named #scheduling
- Sparrow: distributed, low latency scheduling (KO, PW, MZ, IS), pp. 69–84.
- SOSP-2013-ZahariaDLHSS #fault tolerance #scalability #streaming
- Discretized streams: fault-tolerant streaming computation at scale (MZ, TD, HL, TH, SS, IS), pp. 423–438.
- SIGMOD-2012-EngleLXZFSS #data analysis #distributed #memory management #named #performance #using
- Shark: fast data analysis using coarse-grained distributed memory (CE, AL, RX, MZ, MJF, SS, IS), pp. 689–692.
- VLDB-2012-AgarwalPMIMS #interactive #query #scalability
- Blink and It’s Done: Interactive Queries on Very Large Data (SA, AP, BM, API, SM, IS), pp. 1902–1905.
- VLDB-2012-BailisVFHS #bound
- Probabilistically Bounded Staleness for Practical Partial Quorums (PB, SV, MJF, JMH, IS), pp. 776–787.
- OSDI-2010-AnanthanarayananKGSLSH #clustering #using
- Reining in the Outliers in Map-Reduce Clusters using Mantri (GA, SK, AGG, IS, YL, BS, EH), pp. 265–278.
- OSDI-2010-PopaERS #network #rule-based
- Building Extensible Networks with Rule-Based Forwarding (LP, NE, SR, IS), pp. 379–392.
- SOSP-2009-AltekarS #debugging #manycore #named
- ODR: output-deterministic replay for multicore debugging (GA, IS), pp. 193–206.
- OSDI-2008-FonsecaDLS #embedded #energy #named
- Quanto: Tracking Energy in Networked Embedded Systems (RF, PD, PL, IS), pp. 323–338.
- OSDI-2008-ZahariaKJKS #performance #pipes and filters
- Improving MapReduce Performance in Heterogeneous Environments (MZ, AK, ADJ, RHK, IS), pp. 29–42.
- SIGMOD-2007-HuebschGHS #distributed #query
- Sharing aggregate computation for distributed queries (RH, MNG, JMH, IS), pp. 485–496.
- OSDI-2006-EeFKMTCSS #composition #network
- A Modular Network Layer for Sensornets (CTE, RF, SK, DM, AT, DEC, SS, IS), pp. 249–262.
- SIGMOD-2006-LooCGGHMRRS #declarative #execution #network #optimisation
- Declarative networking: language, execution and optimization (BTL, TC, MNG, DEG, JMH, PM, RR, TR, IS), pp. 97–108.
- SOSP-2005-LooCHMRS #declarative #implementation
- Implementing declarative overlays (BTL, TC, JMH, PM, TR, IS), pp. 75–90.
- SIGMOD-2004-ChunRHHJLMRSS #query
- Querying at Internet-Scale (BNC, JMH, RH, SRJ, BTL, SM, TR, SCR, SS, IS), pp. 935–936.
- VLDB-2004-LooHHSS #query
- Enhancing P2P File-Sharing with an Internet-Scale Query Processor (BTL, JMH, RH, SS, IS), pp. 432–443.
- VLDB-2003-HuebschHLLSS #internet #query
- Querying the Internet with PIER (RH, JMH, NL, BTL, SS, IS), pp. 321–332.
- SOSP-2001-DabekKKMS
- Wide-Area Cooperative Storage with CFS (FD, MFK, DRK, RM, IS), pp. 202–215.
- OOPSLA-2019-BavishiLFSS #generative #named #synthesis
- AutoPandas: neural-backed generators for program synthesis (RB, CL, RF, KS, IS), p. 27.
- CASE-2019-FoxBSG #automation #learning #multi
- Multi-Task Hierarchical Imitation Learning for Home Automation (RF, RB, IS, KG), pp. 1–8.