Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Kan Qiao"'
Publikováno v:
IEEE Transactions on Big Data. 3:107-117
In Big Data era, applications are generating orders of magnitude more data in both volume and quantity. While many systems emerge to address such data explosion, the fact that these data’s descriptors, i.e., metadata, are also “big” is often ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82e893c2c2ec400768d8cb5e0a8025ed
https://doi.org/10.1109/tbdata.2016.2640301
https://doi.org/10.1109/tbdata.2016.2640301
Publikováno v:
Journal of Parallel and Distributed Computing. 96:27-37
Although distributed key–value store is becoming increasingly popular in compensating the conventional distributed file systems, it is often criticized due to its costly full-size replication for high availability that causes high I/O overhead. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e1f6560230a962af2005f390d0be29b
https://doi.org/10.1016/j.jpdc.2016.04.015
https://doi.org/10.1016/j.jpdc.2016.04.015
Publikováno v:
IEEE Transactions on Services Computing. 9:96-109
Data compression could ameliorate the I/O pressure of data-intensive scientific applications. Unfortunately, the conventional wisdom of naively applying data compression to the file or block brings the dilemma between efficient random accesses and hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ee66f59b9afe3e489435e595bf886f6
https://doi.org/10.1109/tsc.2015.2456889
https://doi.org/10.1109/tsc.2015.2456889
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:3568-3585
Conventional data serialization tools assume that objects to be coded are usually small in size so a single CPU core can encode it in a timely manner. In the era of Big Data, however, object gets increasingly complex and larger, which makes data seri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5db28074649f5b1c8aa9b0093f02733f
https://doi.org/10.1002/cpe.3742
https://doi.org/10.1002/cpe.3742
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 84:249-260
With the development of the supply chain network (SCN) and big data processing, a simple view at above two technologies separately has become unadvisable; this mainly reflected on the growing amount of data in the SCN nodes. Since the data processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b47b988d3c718cadcdd236a0a608de8
https://doi.org/10.1007/s00170-015-7803-x
https://doi.org/10.1007/s00170-015-7803-x
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:70-94
Data-driven programming models such as many-task computing MTC have been prevalent for running data-intensive scientific applications. MTC applies over-decomposition to enable distributed scheduling. To achieve extreme scalability, MTC proposes a ful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::717f11ade00c369a285dadec2c7220c5
https://doi.org/10.1002/cpe.3617
https://doi.org/10.1002/cpe.3617
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319716060
ICIG (1)
ICIG (1)
Human gait, as a soft biometric, helps to recognize people by walking without subject cooperation. In this paper, we propose a more challenging uncooperative setting under which views of the gallery and probe are both unknown and mixed up (uncooperat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::290576aafa2574d4d758807a43ea4ad4
https://doi.org/10.1007/978-3-319-71607-7_11
https://doi.org/10.1007/978-3-319-71607-7_11
Publikováno v:
BDCloud-SocialCom-SustainCom
We study two problems of assigning transmission power to the nodes of ad hoc wireless networks to minimize total power consumption while satisfying certain connectivity constraints. The first problem requires to establish k node-disjoint paths from a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d3cc406d3ffd6db58cff994c6222795
https://doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.80
https://doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.80
Publikováno v:
IEEE BigData
In the era of big data and cloud, distributed key-value stores are increasingly used as building blocks of large-scale applications. Comparing to traditional relational databases, key-value stores are particularly compelling due to their low latency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5b1d252704a521c5eca62b41fa64f9c
https://doi.org/10.1109/bigdata.2015.7363794
https://doi.org/10.1109/bigdata.2015.7363794
Publikováno v:
HPDC
One way to efficiently utilize the coming exascale machines is to support a mixture of applications in various domains, such as traditional large-scale HPC, the ensemble runs, and the fine-grained many-task computing (MTC). Delivering high performanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20aafc30864ad122c87ab443e33783b5
https://doi.org/10.1145/2749246.2749249
https://doi.org/10.1145/2749246.2749249