Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Khoshkbarforoushha, A."'
Autor:
Khoshkbarforoushha, Alireza, Ranjan, Rajiv, Gaire, Raj, Jayaraman, Prem P., Hosking, John, Abbasnejad, Ehsan
Real-time computation of data streams over affordable virtualized infrastructure resources is an important form of data in motion processing architecture. However, processing such data streams while ensuring strict guarantees on quality of services i
Externí odkaz:
http://arxiv.org/abs/1501.07020
This work proposes a quantitative metric to analyze potential reusability of a BPEL (Business Process Execution Language) Process. The approach is based on Description and Logic Mismatch Probability of a BPEL Process that will be reused within potent
Externí odkaz:
http://arxiv.org/abs/1405.6179
Publikováno v:
In Journal of Computer and System Sciences November 2017 89:24-40
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 2, Iss 4, Pp 41-53 (2010)
Business opportunities are not permanent. Enterprises to instantly meet them collaborate with each other through realizing business network processes (BNP) in which their activities are done with various partners within a network. Recently, these bus
Externí odkaz:
https://doaj.org/article/89fbcd0f2cfb4c908a3b4c6a60c60e4b
Publikováno v:
Journal of Computer and System Sciences. 89:24-40
In this paper, we present a framework for resource management of Streaming Data Analytics Flows (SDAF). Using advanced techniques in control and optimization theory, we design an adaptive control system tailored to the data ingestion, analytics, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::765443bcdc58157c89709d9f7f131e62
https://doi.org/10.1016/j.jcss.2016.11.002
https://doi.org/10.1016/j.jcss.2016.11.002
Publikováno v:
Proceedings of the VLDB Endowment. 10:1893-1896
A data analytics flow typically operates on three layers: ingestion, analytics, and storage, each of which is provided by a data-intensive system. These systems are often available as cloud managed services, enabling the users to have pain-free deplo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f17c584910d7522192b9b5a07a000ae
https://doi.org/10.14778/3137765.3137802
https://doi.org/10.14778/3137765.3137802
Autor:
Ehsan Abbasnejad, Lizhe Wang, Alireza Khoshkbarforoushha, Rajiv Ranjan, Albert Y. Zomaya, Raj Gaire
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 5:120-133
Resource usage estimation for managing streaming workload in emerging applications domains such as enterprise computing, smart cities, remote healthcare, and astronomy, has emerged as a challenging research problem. Such resource estimation for proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c4b2b6707534af96efb2641fed37f09
https://doi.org/10.1109/tetc.2016.2597546
https://doi.org/10.1109/tetc.2016.2597546
Autor:
Hameed, Abdul1, Khoshkbarforoushha, Alireza2, Ranjan, Rajiv3 rajiv.ranjan@csiro.au, Jayaraman, Prem3, Kolodziej, Joanna4, Balaji, Pavan5, Zeadally, Sherali6, Malluhi, Qutaibah7, Tziritas, Nikos8, Vishnu, Abhinav9, Khan, Samee1, Zomaya, Albert10
Publikováno v:
Computing. Jul2016, Vol. 98 Issue 7, p751-774. 24p.
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems
Autor:
Alireza Khoshkbarforoushha, Qutaibah M. Malluhi, Samee U. Khan, Prem Prakash Jayaraman, Joanna Kolodziej, Rajiv Ranjan, Nikos Tziritas, Abhinav Vishnu, Sherali Zeadally, Pavan Balaji, Abdul Hameed, Albert Y. Zomaya
Publikováno v:
Computing. 98:751-774
In a cloud computing paradigm, energy efficient allocation of different virtualized ICT resources (servers, storage disks, and networks, and the like) is a complex problem due to the presence of heterogeneous application (e.g., content delivery netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::554f33adf222e8a82ef565303d5d5db1
https://doi.org/10.1007/s00607-014-0407-8
https://doi.org/10.1007/s00607-014-0407-8
Publikováno v:
ICPE
Efficient resource consumption and performance estimation of data-intensive workloads is central to the design and development of workload management techniques. Recent work has explored the efficacy of using distribution-based estimation of workload
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b84607e3d067092e6edfa4ea1723bee
https://doi.org/10.1145/2851553.2851578
https://doi.org/10.1145/2851553.2851578