Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Guna Prasaad"'
Publikováno v:
SIGMOD Conference
Research on transaction processing has made significant progress towards improving performance of main memory multicore OLTP systems under low contention. However, these systems struggle on workloads with lots of conflicts. Partitioned databases (and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b471e3b50881dfc3e54b847b608d8a1
https://doi.org/10.1145/3318464.3389764
https://doi.org/10.1145/3318464.3389764
Autor:
Justin J. Levandoski, Donald Kossmann, James Hunter, Mike Barnett, Badrish Chandramouli, Guna Prasaad
Publikováno v:
Demo Paper
Over the last decade, there has been a tremendous growth in data-intensive applications and services in the cloud. Data is created on a variety of edge sources such as devices, and is processed by cloud applications to gain insights or make decisions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48ea714c70680583f6b9678e138fcb21
https://doi.org/10.14778/3229863.3236227
https://doi.org/10.14778/3229863.3236227
Publikováno v:
SIGMOD Conference
With increasing multi-core parallelism, modern databases and key-value stores are designed for scalability and presently yield very high throughput for the in-memory working set. These systems typically depend on group commit using a write-ahead log
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b58ccc0ade5672b5879e62c92aada7aa
https://doi.org/10.1145/3299869.3300090
https://doi.org/10.1145/3299869.3300090
Publikováno v:
SIGMOD Conference
Acyclic schemes have numerous applications in databases and in machine learning, such as improved design, more efficient storage, and increased performance for queries and machine learning algorithms. Multivalued dependencies (MVDs) are the building
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f57a44d172942c8dd76464661b696dd4
Autor:
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin J. Levandoski, James Hunter, Mike Barnett
Publikováno v:
SIGMOD Conference
Over the last decade, there has been a tremendous growth in data-intensive applications and services in the cloud. Data is created on a variety of edge sources, e.g., devices, browsers, and servers, and processed by cloud applications to gain insight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::096ad4be6d4eb274ead4d8339f46b026
https://doi.org/10.1145/3183713.3196898
https://doi.org/10.1145/3183713.3196898
Publikováno v:
BIRTE
Many modern applications require real-time processing of large volumes of high-speed data. Such data processing needs can be modeled as a streaming computation. A streaming computation is specified as a dataflow graph that exposes multiple opportunit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4183be8d92265ee5b4fd5bc090863c32
http://arxiv.org/abs/1803.11328
http://arxiv.org/abs/1803.11328
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319181165
CICLing (2)
CICLing (2)
Personalizing marketing messages for specific audience segments is vital for increasing user engagement with advertisements, but it becomes very resource-intensive when the marketer has to deal with multiple segments, products or campaigns. In this r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08521e35b410c0d614aa8d69b582c13f
https://doi.org/10.1007/978-3-319-18117-2_16
https://doi.org/10.1007/978-3-319-18117-2_16
Publikováno v:
Computational Linguistics & Intelligent Text Processing 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part II; 2015, p203-224, 22p