Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sangram Keshari Swain"'
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 3, Pp 1337-1348 (2024)
In the realm of data science, dealing with real-world datasets often presents a formidable challenge, primarily due to the sheer volume of features that significantly lack relevance or may be redundant. Effective feature engineering is vital in const
Externí odkaz:
https://doaj.org/article/2ce1712a13ab4b9583e8856ce3cb0f11
Autor:
Suvendu Kumar Nayak, Mamata Garanayak, Sangram Keshari Swain, Sandeep Kumar Panda, Deepthi Godavarthi
Publikováno v:
IEEE Access, Vol 11, Pp 99304-99318 (2023)
Large blocks of data must be analyzed and explored by utilizing the data mining procedures in order to uncover significant patterns and trends. Medical databases are one area where the data mining procedures can be utilized. Many people all over the
Externí odkaz:
https://doaj.org/article/706b94c93fcf4177b95fc5d2880a879e
Publikováno v:
Applied Bionics and Biomechanics, Vol 2023 (2023)
Effective workflow scheduling in cloud computing is still a challenging problem as incoming workflows to cloud console having variable task processing capacities and dependencies as they will arise from various heterogeneous resources. Ineffective sc
Externí odkaz:
https://doaj.org/article/7fc4ff701293460ba42cc7dabdc38c23
Autor:
Sudheer Mangalampalli, Sangram Keshari Swain, Tulika Chakrabarti, Prasun Chakrabarti, Ganesh Reddy Karri, Martin Margala, Bhuvan Unhelkar, Sivaneasan Bala Krishnan
Publikováno v:
Sensors, Vol 23, Iss 13, p 6155 (2023)
Effective scheduling algorithms are needed in the cloud paradigm to leverage services to customers seamlessly while minimizing the makespan, energy consumption and SLA violations. The ineffective scheduling of resources while not considering the suit
Externí odkaz:
https://doaj.org/article/945c044ed2ee4a1c94d7ba54b77ea4fd
Autor:
Krishnan, Sudheer Mangalampalli, Sangram Keshari Swain, Tulika Chakrabarti, Prasun Chakrabarti, Ganesh Reddy Karri, Martin Margala, Bhuvan Unhelkar, Sivaneasan Bala
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 6155
Effective scheduling algorithms are needed in the cloud paradigm to leverage services to customers seamlessly while minimizing the makespan, energy consumption and SLA violations. The ineffective scheduling of resources while not considering the suit
Publikováno v:
Scientific Programming.
Task scheduling in Cloud Computing paradigm poses new challenges for cloud provider as heterogeneous, diversified tasks arrived on to cloud console. To schedule these type of tasks efficiently on to virtual resources in cloud paradigm, an effective s
Publikováno v:
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC).
Publikováno v:
Arabian Journal for Science and Engineering. 47:1821-1830
Efficient Scheduling of tasks is essential in cloud computing to provision the virtual resources to the tasks, effectively by minimizing makespan and maximizing resource utilization in cloud computing. Existing scheduling algorithms talks about makes
Publikováno v:
Wireless Personal Communications. 126:2231-2247
Task Scheduling is one of the important aspects in Cloud Computing. The Primary Objective of the task scheduling is to effectively map tasks on to the corresponding VMs by minimizing makespan and maximizing utilization of resources. Energy consumptio
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 17:5346-5357
Rapid growth has been occurred in the IT industry with the emergence of Cloud computing in terms of the resources provisioned to the users in a seamless and flexible way. Task Scheduling is a prodigious challenge in the Cloud Computing. It is difficu