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Adaptive sampling-based profiling techniques for optimizing the distributed JVM runtime

King Tin Lam, Yang Luo, Cho-Li Wang
2010 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS)  
We present the design and preliminary performance result of our distributed JVM with the profiling implemented.  ...  To preserve locality across migrations, we also propose a stack sampling mechanism for profiling the set of objects which are tightly coupled with a migrant thread.  ...  We denote this metadata by the term sticky-set footprint.  ... 
doi:10.1109/ipdps.2010.5470461 dblp:conf/ipps/LamLW10 fatcat:4nouq2dou5hvtfm56ajn3mdrzi

Web metadata standards: observations and prescriptions

David Bodoff, P.C.K. Hung, M. Ben-Menachem
2005 IEEE Software  
0 7 4 0 -7 4 5 9 / 0 5 / $ 2 0 . 0 0 © 2 0 0 5 I E E E Metadata standards Content metadata standards are built on top of infrastructure standards that standardize metadata representation and exchange.  ...  Here are two examples: feature Web Metadata Standards: Observations and Prescriptions  ...  In addition, independent individuals following those guidelines might contribute pieces of a wider ontology, with internally consistent results.  ... 
doi:10.1109/ms.2005.25 fatcat:dqelld3b4vgbjlnv35ztwpx2fu

Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF [article]

Kornilios Kourtis, Animesh Trivedi, Nikolas Ioannou
2020 arXiv   pre-print
With rapid improvements in NVM storage devices, the performance bottleneck is gradually shifting to the network, thus giving rise to the notion of "data movement wall".  ...  Using this information, the code will read the metadata block, and return the data blocks that the query needs to process (e.g., by considering the minimal and maximum values of a column).  ...  Summarizer offloads parts of computation on wimpy SSD ARM cores by enhancing the NVMe protocol [35] . Willow [52] is a programmable SSD with an attached FPGA.  ... 
arXiv:2002.11528v1 fatcat:pakee73fybct7jf6hkbyfhwpza

On the Usage of Global Document Occurrences in Peer-to-Peer Information Systems [chapter]

Odysseas Papapetrou, Sebastian Michel, Matthias Bender, Gerhard Weikum
2005 Lecture Notes in Computer Science  
We develop a technique based on the notion of global document occurrences (GDO) that, when processing a query, penalizes frequent documents increasingly as more and more peers contribute their local results  ...  We argue that the additional effort to create and maintain the GDO information is reasonably low, as the necessary information can be piggybacked onto the existing communication.  ...  for query execution rely on large amounts of document metadata.  ... 
doi:10.1007/11575771_21 fatcat:yupbi5tp2vcexebgy5ruiwcusu

Goods

Alon Halevy, Flip Korn, Natalya F. Noy, Christopher Olston, Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
the metadata to users.  ...  rethink how we organize structured datasets at scale, in a setting where teams use diverse and often idiosyncratic ways to produce the datasets and where there is no centralized system for storing and querying  ...  Moreover, some of these tools can enhance the catalog with additional metadata that apply in other use cases.  ... 
doi:10.1145/2882903.2903730 dblp:conf/sigmod/HalevyKNOPRW16 fatcat:6cfppfhlbvebdphw2a7kidgnli

Hierarchical and scalable peer-to-peer architecture for online social network

Yamina Moualkia, Mourad Amad, Abderrahmane Baadache
2021 Journal of King Saud University: Computer and Information Sciences  
By using a hierarchical architecture based on structured P2P network with (2) two levels, our architecture is able to handle a large number of users in an effective manner.  ...  metadata of a replica-set (see Section 3.4.2).  ...  Notation Definition kðcn 1 :cn 2 Þ Requested key k with k.cn 1 = id cluster and k.cn 2 = idpeer super-peer Query k Super-peer of the cluster from which the lookup query for the key k is output successor-super  ... 
doi:10.1016/j.jksuci.2021.04.009 fatcat:lvxo67mbs5ccde6p272gmzjgxq

Discovering and exploiting keyword and attribute-value co-occurrences to improve P2P routing indices

Sebastian Michel, Matthias Bender, Nikos Ntarmos, Peter Triantafillou, Gerhard Weikum, Christian Zimmer
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
results.  ...  Together with the coarse granularity of per-peer summaries, which are mandated for scalability, this limitation may lead to poor search result quality.  ...  , 3. pinit possibly combines this measure with other indicators of pi's result quality and novelty, and 4. pinit forwards the query ab to these selected peers and eventually merges their local results.  ... 
doi:10.1145/1183614.1183643 dblp:conf/cikm/MichelBNTWZ06 fatcat:lmjspbodn5c43kosmgk3da7hpy

Automated Statistics Collection in DB2 UDB [chapter]

A. Aboulnaga, P. Haas, M. Kandil, S. Lightstone, G. Lohman, V. Markl, I. Popivanov, V. Raman
2004 Proceedings 2004 VLDB Conference  
The use of inaccurate or outdated database statistics by the query optimizer in a relational DBMS often results in a poor choice of query execution plans and hence unacceptably long query processing times  ...  ASC monitors both the update-delete-insert (UDI) activities on the data as well as query feedback (QF), i.e., the results of the queries that are executed on the data.  ...  The second process monitors query results on a table.  ... 
doi:10.1016/b978-012088469-8.50100-5 dblp:conf/vldb/AboulnagaHLLMPR04 fatcat:ykz6hmdpvzduzjxuhogtvd3fja

Automated Statistics Collection in DB2 UDB [chapter]

A ABOULNAGA, P HAAS, M KANDIL, S LIGHTSTONE, G LOHMAN, V MARKL, I POPIVANOV, V RAMAN
2004 Proceedings 2004 VLDB Conference  
The use of inaccurate or outdated database statistics by the query optimizer in a relational DBMS often results in a poor choice of query execution plans and hence unacceptably long query processing times  ...  ASC monitors both the update-delete-insert (UDI) activities on the data as well as query feedback (QF), i.e., the results of the queries that are executed on the data.  ...  The second process monitors query results on a table.  ... 
doi:10.1016/b978-012088469-8/50100-5 fatcat:aj3m3oh6ujhithdw5f34d6xfju

HAWQ

Lei Chang, Gavin Sherry, Milind Bhandarkar, Zhanwei Wang, Tao Ma, Lirong Jian, Lili Ma, Alon Goldshuv, Luke Lonergan, Jeffrey Cohen, Caleb Welton
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
extensible framework for supporting various popular Hadoop based data stores and formats, and various optimization choices we considered to enhance the query performance.  ...  This paper presents the novel design of HAWQ, including query processing, the scalable software interconnect based on UDP protocol, transaction management, fault tolerance, read optimized storage, the  ...  For some queries, such as insert, some metadata is changed by QEs. To record the changes, we piggyback the changes in the master-tosegment connections.  ... 
doi:10.1145/2588555.2595636 dblp:conf/sigmod/ChangWMJMGLCWSB14 fatcat:hdbxw6v2ffdlfk5ufeys4etypy

AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis [article]

Guozhu Meng, Yinxing Xue, Jing Kai Siow, Ting Su, Annamalai Narayanan, Yang Liu
2017 arXiv   pre-print
It has started with a long-running web crawler for data collection (both apps and description) since 2013, which guarantees the timeliness of data; With static analysis and dynamic analysis of the collected  ...  With the produced data of high quality, we have successfully conducted many research works including malware detection, code generation, and Android testing.  ...  In addition, they figure out 20 types of app metadata to share with the research community for relevant research works.  ... 
arXiv:1711.07451v2 fatcat:wjlhwcdepvelbmqk5gju3b5s2y

Tracking bad apples

Michael D. Bond, Nicholas Nethercote, Stephen W. Kent, Samuel Z. Guyer, Kathryn S. McKinley
2007 SIGPLAN notices  
The key idea is value piggybacking: when the original program stores an unusable value, value piggybacking instead stores origin information in the spare bits of the unusable value.  ...  We evaluate two implementations: the first tracks null pointer origins in a JVM, and the second tracks undefined value origins in a memorychecking tool built with Valgrind.  ...  Second, it indicates simply that the query failed, with no error message or exception indicating why.  ... 
doi:10.1145/1297105.1297057 fatcat:5txotam6ifhjli6cahcnbis3oe

A Survey on Web Service Discovery Approaches [article]

Debajyoti Mukhopadhyay, Archana Chougule
2012 arXiv   pre-print
Some approaches suggest enhancement in web service request based on metadata about web services generated by feedback of other users.  ...  Taxonomical similarity between advertisements and query is the similarity of their taxonomical categorization in a Profile subclass hierarchy.  ... 
arXiv:1206.5582v1 fatcat:mze2oy7tfra4becrieb54mimou

The database research group at the Max-Planck Institute for Informatics

Gerhard Weikum
2006 SIGMOD record  
For enhanced quality of search results, relevance feedback is a well-known IR technique that expands keyword queries from the content of elements marked as relevant by the user.  ...  Preliminary results with this approach are presented in [20] .  ... 
doi:10.1145/1168092.1168099 fatcat:zbcp54czabflhf5hn6jzz3nc4q

Distributed Caching for Complex Querying of Raw Arrays [article]

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, and Peter Nugent
2018 arXiv   pre-print
As applications continue to generate multi-dimensional data at exponentially increasing rates, fast analytics to extract meaningful results is becoming extremely important.  ...  We design cache eviction and placement heuristic algorithms that consider the historical query workload.  ...  Results The code contains special functions to harness detailed profiling data. We perform all experiments at least 3 times and report the average value as the result.  ... 
arXiv:1803.06089v1 fatcat:fnzuiwxywzahdlynqyxa4lto7i
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