Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Shicong Meng"'
Publikováno v:
IEEE Network. 29:50-56
In the past few years, big data has attracted significant attention, and many analytics platforms, such as Hadoop, have been developed to enable the analysis of massive data. Nevertheless, it is still very challenging to provision, let alone optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e03c1f38f97ed033b160d28a417440d3
https://doi.org/10.1109/mnet.2015.7293305
https://doi.org/10.1109/mnet.2015.7293305
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 27:1588-1601
The Earth Mover’s Distance (EMD) is a well-known distance metric for data represented as probability distributions over a predefined feature space. Supporting EMD-based similarity search has attracted intensive research effort. Despite the plethora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4960fa979a7a1bf561cf889702549b57
https://doi.org/10.1109/tkde.2014.2373359
https://doi.org/10.1109/tkde.2014.2373359
Autor:
Ling Liu, Shicong Meng
Publikováno v:
IEEE Transactions on Computers. 62:1705-1720
This paper introduces the concept of monitoring-as-a-service (MaaS), its main components, and a suite of key functional requirements of MaaS in cloud. We argue that MaaS should support not only the conventional state monitoring capabilities, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::980a1bddf5ef4bb285117cbdcfab0ff1
https://doi.org/10.1109/tc.2012.165
https://doi.org/10.1109/tc.2012.165
Publikováno v:
Distributed and Parallel Databases. 32:91-118
This paper presents a delay-tolerant mix-zone framework for protecting the location privacy of mobile users against continuous query correlation attacks. First, we describe and analyze the continuous query correlation attacks (CQ-attacks) that perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7802ab850fec92c9ec0811e98fb40301
https://doi.org/10.1007/s10619-013-7128-4
https://doi.org/10.1007/s10619-013-7128-4
Publikováno v:
IEEE Transactions on Services Computing. 6:358-372
As a promising standard of television, Internet protocol television (IPTV) gains increasing popularity with its on-demand services. However, supporting scalable on-demand IPTV services remains to be an important challenge. Existing IPTV architecture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ffb6d0a9109a85640fbc4e7b52830de
https://doi.org/10.1109/tsc.2012.4
https://doi.org/10.1109/tsc.2012.4
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 23:2315-2329
The increasing popularity of large-scale distributed applications in datacenters has led to the growing demand of distributed application state monitoring. These application state monitoring tasks often involve collecting values of various status att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::453c2675da209016836b395a87d77b88
https://doi.org/10.1109/tpds.2012.82
https://doi.org/10.1109/tpds.2012.82
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 23:1328-1344
Monitoring global states of a distributed cloud application is a critical functionality for cloud datacenter management. State monitoring requires meeting two demanding objectives: high level of correctness, which ensures zero or low error rate, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2068772a80ae3c659b48beda5b8b644a
https://doi.org/10.1109/tkde.2011.70
https://doi.org/10.1109/tkde.2011.70
Publikováno v:
CIKM
Anti-virus systems developed by different vendors often demonstrate strong discrepancies in how they name malware, which signficantly hinders malware information sharing. While existing work has proposed a plethora of malware naming standards, most a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76114eb1142ff49ab2b3022c3698dfb2
https://doi.org/10.1145/2661829.2662086
https://doi.org/10.1145/2661829.2662086
Publikováno v:
HPDC
MapReduce job parameter tuning is a daunting and time consuming task. The parameter configuration space is huge; there are more than 70 parameters that impact job performance. It is also difficult for users to determine suitable values for the parame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55ad65e4b649417f8ab8e995c523733f
https://doi.org/10.1145/2600212.2600229
https://doi.org/10.1145/2600212.2600229
Publikováno v:
EuroSys
In order to improve the performance of MapReduce, we design DynMR. It addresses the following problems that persist in the existing implementations: 1) difficulty in selecting optimal performance parameters for a single job in a fixed, dedicated envi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e04a49ced19be67be4b5beb3029bddb
https://doi.org/10.1145/2592798.2592805
https://doi.org/10.1145/2592798.2592805