Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Ganesh Reddy"'
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:
Asha Varma Songa, Ganesh Reddy Karri
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-22 (2024)
Abstract Cloud computing is a rapidly advancing technology with numerous benefits, such as increased availability, scalability, and flexibility. Relocating computing infrastructure to a network simplifies hardware and software resource monitoring in
Externí odkaz:
https://doaj.org/article/d5c436285a274fb0ad2a31ecadeba6d6
Autor:
S. Sudheer Mangalampalli, Ganesh Reddy Karri, Pradeep Reddy Ch, Kiran Sree Pokkuluri, Prasun Chakrabarti, Tulika Chakrabarti
Publikováno v:
IEEE Access, Vol 12, Pp 163424-163443 (2024)
Workflow Scheduling is a crucial challenge in cloud computing as different task dependencies involved in workflows which makes task scheduling process more complex and incurs huge energy consumption for Cloud Service Provider (CSP). Inefficient sched
Externí odkaz:
https://doaj.org/article/5cc58111b62b447eb699ed3f1d43c20d
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
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 81631-81645 (2024)
Recently, human-machine digital assistants gained popularity and are commonly used in question-and-answer applications and similar consumer-supporting domains. A class of more sophisticated digital assistants (chatbots) employing more extended dialog
Externí odkaz:
https://doaj.org/article/df9adb66d2544e61881d08cb0425e7b3
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 King Saud University: Computer and Information Sciences, Vol 35, Iss 2, Pp 791-809 (2023)
Task Scheduling is an enormous challenge in cloud computing model as to map diverse tasks arises from various sources there should be an efficient scheduling mechanism which provision resources dynamically to users based on their corresponding reques
Externí odkaz:
https://doaj.org/article/7b39f07844a7477886edafcf710df7b0