Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Malith Jayasinghe"'
Publikováno v:
Computación y Sistemas. 26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f5821a21d8c3db8b9cc804ba9c5b744
https://doi.org/10.13053/cys-26-3-4346
https://doi.org/10.13053/cys-26-3-4346
Autor:
Lakindu Akash, Duneesha Fernando, Malith Jayasinghe, Chamath Keppitiyagama, Kishanthan Thangarajah
Publikováno v:
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d42c05fc7880a645b4dd2bfcda84be6
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00108
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00108
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030505776
ICWE
ICWE
Microservice architecture is a widely used architectural style which allows you to design your application using a set of loosely coupled services which can be developed, deployed, and scaled independently. The service decomposition is the act of dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e48b1f2db563c8f2aa843901d29b41d7
https://doi.org/10.1007/978-3-030-50578-3_5
https://doi.org/10.1007/978-3-030-50578-3_5
Online learning is an essential tool for predictive analysis based on continuous, endless data streams. Adopting Bayesian inference for online settings allows hierarchical modeling while representing the uncertainty of model parameters. Existing onli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0fb139b5e0e4198434885d6b6029e45
Publikováno v:
HPCC/SmartCity/DSS
Long-tail latency values significantly affect the user experience and hence they are a major concern in modern systems. However, tail latency characteristics of applications developed using microservices architecture are still unknown. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56475a4cdd9a410857c2ffd64a33b49c
https://doi.org/10.1109/hpcc/smartcity/dss.2019.00104
https://doi.org/10.1109/hpcc/smartcity/dss.2019.00104
Autor:
Surangika Ranathunga, Sudaraka Jayathilaka, Deshani Geethika, Srinath Perera, Thilina Ashen Gamage, Malith Jayasinghe, Yasas Gunarathne
Publikováno v:
HPCS
Detecting performance anomalies and taking corrective or preventive actions are key requirements in high-performance software systems. However, progress in research related to performance anomaly detection has been limited due to the lack of publicly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc21166860fdba58222e8ee8a49f742
https://doi.org/10.1109/hpcs48598.2019.9188100
https://doi.org/10.1109/hpcs48598.2019.9188100
Online learning is an essential tool for predictive analysis based on continuous, endless data streams. Adopting Bayesian inference for online settings allows hierarchical modeling while representing the uncertainty of model parameters. Existing onli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cd04f82acbcc8be83880b8456bd866f
https://doi.org/10.7287/peerj.preprints.27790v1
https://doi.org/10.7287/peerj.preprints.27790v1
In the retail domain, estimating the sales before actual sales become known plays a key role in maintaining a successful business. This is due to the fact that most crucial decisions are bound to be based on these forecasts. Statistical sales forecas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a745b6dd06ac2e52ee94a5c6aafc9d4
Solution Recommender for System Failure Recovery via Log Event Pattern Matching on a Knowledge Graph
Publikováno v:
DEBS
System anomalies such as network interruptions, operating system halt, disk crash could result in significant financial losses to organizations. In this demonstration we describe a novel log event analysis framework called Solution Recommender which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b6c8ace69b4c5776f896ea85e9d01ec
https://doi.org/10.1145/3093742.3095094
https://doi.org/10.1145/3093742.3095094
Autor:
Miyuru Dayarathna, Srinath Perera, Malith Jayasinghe, Sriskandarajah Suhothayan, Upul Bandara, Isuru Perera, Sachini Siriwardene, Nihla Akram, Seshika Fernando
Publikováno v:
DEBS
The ACM DEBS Grand Challenge 2017 focuses on anomaly detection of manufacturing equipment. The goal of the challenge is to detect abnormal behavior of a manufacturing machine based on the observations of the stream of measurements provided. The data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f73fc62a4946b2d140e0304a860d1cd2
https://doi.org/10.1145/3093742.3095100
https://doi.org/10.1145/3093742.3095100