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pro vyhledávání: '"Vaidehi Vijayakumar"'
Autor:
Arathi Reghukumar, Vaidehi Vijayakumar
Publikováno v:
Procedia Computer Science. 165:126-135
One of the major global concerns of our current era is water scarcity. This makes it all the more important to design water-efficient systems for irrigating our crops and plants. The main aim of this paper is to design a watering system for status of
Autor:
Sudhakar Ilango S, P Mangalraj, Jatin Karthik Tripathy, Meenalosini Vimal Cruz, R Nandha Kumar, Sibi Chakkaravarthy Sethuraman, Anupama Namburu, Vaidehi Vijayakumar
Publikováno v:
Computer Science Review. 42:100433
The amount of data and computing power has drastically increased over the last decade, which leads to the development of several new fronts in the field of Natural Language Processing (NLP). In addition to that, the entanglement of embeddings and lar
Autor:
Vaidehi Vijayakumar
Publikováno v:
Encyclopedia of Wireless Networks ISBN: 9783319329031
Encyclopedia of Wireless Networks ISBN: 9783319782614
Encyclopedia of Wireless Networks ISBN: 9783319782614
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da28ee36c7fbb56bed8d8551bba32620
https://doi.org/10.1007/978-3-319-32903-1_282-1
https://doi.org/10.1007/978-3-319-32903-1_282-1
Autor:
In the modern era, workflows are adopted as a powerful and attractive paradigm for expressing/solving a variety of applications like scientific, data intensive computing, and big data applications such as MapReduce and Hadoop. These complex applications are described using high-level representations in workflow methods. With the emerging model of cloud computing technology, scheduling in the cloud becomes the important research topic. Consequently, workflow scheduling problem has been studied extensively over the past few years, from homogeneous clusters, grids to the most recent paradigm, cloud computing. The challenges that need to be addressed lies in task-resource mapping, QoS requirements, resource provisioning, performance fluctuation, failure handling, resource scheduling, and data storage. This work focuses on the complete study of the resource provisioning and scheduling algorithms in cloud environment focusing on Infrastructure as a service (IaaS). We provided a comprehensive understanding of existing scheduling techniques and provided an insight into research challenges that will be a possible future direction to the researchers., Vaidehi Vijayakumar
In the modern era, workflows are adopted as a powerful and attractive paradigm for expressing/solving a variety of applications like scientific, data intensive computing, and big data applications such as MapReduce and Hadoop. These complex applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::1cd1349e3f6c4e2eff663b5685b2be9b
https://zenodo.org/record/4063383
https://zenodo.org/record/4063383