Zobrazeno 1 - 10
of 540
pro vyhledávání: '"Mangalampalli, P."'
Autor:
Sudheer Mangalampalli, Ganesh Reddy Karri, M. V. Ratnamani, Sachi Nandan Mohanty, Bander A. Jabr, Yasser A. Ali, Shahid Ali, Barno Sayfutdinovna Abdullaeva
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-38 (2024)
Abstract Task scheduling problem (TSP) is huge challenge in cloud computing paradigm as number of tasks comes to cloud application platform vary from time to time and all the tasks consists of variable length, runtime capacities. All these tasks may
Externí odkaz:
https://doaj.org/article/bf50608f98af41c3ba4a08939661f168
Autor:
Vakkalakula Bharath Sreenivasulu, M. Prasad, Epuri Deepthi, Aruru Sai Kumar, S. Sudheer Mangalampalli
Publikováno v:
IEEE Access, Vol 12, Pp 144479-144488 (2024)
A Rectangular core-shell (RCS) is analyzed on vertically stacked gate oxide junctionless nanosheet along with doping and gate/dielectric engineering. This paper also proposes an N-type three fins vertically stacked with gate oxide stack junctionless
Externí odkaz:
https://doaj.org/article/7d3851116b084c9b970f63b7f0c1bca7
Autor:
S Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Muhammad Ijaz Khan, Emad Ismail, Fuad A. Awwad
Publikováno v:
IEEE Access, Vol 12, Pp 136628-136656 (2024)
Task scheduling is a crucial aspect in cloud computing paradigm as tasks with different processing capacities arise from heterogeneous resources and scheduling these different tasks to precise virtual machines (VM) in cloud datacenters is a crucial j
Externí odkaz:
https://doaj.org/article/c1675f27ed464a528bcb3c70d503fbfa
Publikováno v:
IEEE Access, Vol 12, Pp 127976-127992 (2024)
Scheduling of workflows is a critical issue in cloud computing paradigm as dynamic workflows with variable dependencies arises from heterogeneous resources which comes onto cloud application console. Mapping all these interdependent tasks to precise
Externí odkaz:
https://doaj.org/article/d50bacee9fee4782a12718174bec30f9
Autor:
S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Atif M. Alamri, Salman A. Alqahtani
Publikováno v:
IEEE Access, Vol 12, Pp 108897-108920 (2024)
Task Scheduling is a crucial challenge in cloud computing as diversified tasks come rapidly onto cloud console dynamically from heterogeneous resources which consists of different task lengths, processing capacities. Generating schedules for these ty
Externí odkaz:
https://doaj.org/article/1c878139858f42f88e7accdbce862e65
Publikováno v:
IEEE Access, Vol 12, Pp 102126-102145 (2024)
Because of the wide variety of heterogeneous jobs and the internet’s inherent complexity in relation to runtime capabilities, task scheduling in cloud computing poses a paradigm issue. Some tasks are very computationally intensive and sensitive to
Externí odkaz:
https://doaj.org/article/13997039207f433696ec8ed48fb91f11
Autor:
S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Muhammad Ijaz Khan, Sherzod Abdullaev, Salman A. AlQahtani
Publikováno v:
IEEE Access, Vol 12, Pp 11354-11377 (2024)
Task scheduling is a crucial challenge in cloud computing paradigm as variety of tasks with different runtime processing capacities generated from various heterogeneous devices are coming up to cloud application console which effects system performan
Externí odkaz:
https://doaj.org/article/de4e0495452249b68f8ccc632d618120
Autor:
Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala
Publikováno v:
IEEE Access, Vol 12, Pp 5373-5392 (2024)
Workflow Scheduling is a huge challenge in cloud paradigm as many number of workflows dynamically generated from various heterogeneous resources and task dependencies in each workflow varies from each other. Therefore, if a workflow with more number
Externí odkaz:
https://doaj.org/article/f71e5652577d43c1aec095e568be41a8
Autor:
Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, M. Ijaz Khan, Dilsora Abduvalieva, Fuad A. Awwad, Emad A. A. Ismail
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-32 (2023)
Abstract Cloud Computing model provides on demand delivery of seamless services to customers around the world yet single point of failures occurs in cloud model due to improper assignment of tasks to precise virtual machines which leads to increase i
Externí odkaz:
https://doaj.org/article/8fee613167844f90a4516e11d87586ae
Publikováno v:
Journal of Groundwater Science and Engineering, Vol 11, Iss 2, Pp 116-132 (2023)
This study aimed to explore groundwater potential zones in the EGMB of Alluri Seetharama Raju district, Andhra Pradesh, India, for drinking and agriculture purposes. To achieve this goal, 72 Vertical Electrical Soundings (VES) were conducted using th
Externí odkaz:
https://doaj.org/article/fd4ba9d567c14568b5de3bc56aab9a82