TY - GEN
T1 - An Extensive Analysis and Survey of Task Scheduling Algorithms In Cloud Fog Computing
AU - Patro, Sambeet
AU - Swain, Sangram Keshari
AU - Sudheer Mangalampali, S.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The paper gives an insight and overview of Cloud Computing, Fog computing and Task scheduling methods. When we require scalable along with on demand access for computing resources while using internet then Cloud Computing comes into the picture. It has the capability to deliver on request, Self-service, wider network access, resource pooling, swift elasticity and deliberate services. Fog computing can processes data at the edge of the network, because of which faster processing and the storage of data nearer to the data sources happens which in fact can enhance the capabilities. In cloud and fog computing environment task scheduling has an essential role as it has the capabilities to optimize the allocation of resources, enhancing the efficiency and it can guarantee the performance in latency-sensitive based applications. Here in this paper various challenges faced are discussed and it describes about variety of algorithms designed to enhance the scheduling efficiency.
AB - The paper gives an insight and overview of Cloud Computing, Fog computing and Task scheduling methods. When we require scalable along with on demand access for computing resources while using internet then Cloud Computing comes into the picture. It has the capability to deliver on request, Self-service, wider network access, resource pooling, swift elasticity and deliberate services. Fog computing can processes data at the edge of the network, because of which faster processing and the storage of data nearer to the data sources happens which in fact can enhance the capabilities. In cloud and fog computing environment task scheduling has an essential role as it has the capabilities to optimize the allocation of resources, enhancing the efficiency and it can guarantee the performance in latency-sensitive based applications. Here in this paper various challenges faced are discussed and it describes about variety of algorithms designed to enhance the scheduling efficiency.
UR - https://www.scopus.com/pages/publications/105007904778
UR - https://www.scopus.com/pages/publications/105007904778#tab=citedBy
U2 - 10.1109/SCOPES64467.2024.10991061
DO - 10.1109/SCOPES64467.2024.10991061
M3 - Conference contribution
AN - SCOPUS:105007904778
T3 - 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024
BT - 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024
Y2 - 19 December 2024 through 21 December 2024
ER -