Replica-aware task scheduling and load balanced cache placement for delay reduction in multi-cloud environment

2018 ◽  
Vol 75 (5) ◽  
pp. 2805-2836 ◽  
Author(s):  
Chunlin Li ◽  
Jing Zhang ◽  
Hengliang Tang
Keyword(s):  
Task Scheduling ◽  
Cloud Environment ◽  
Delay Reduction ◽  
Cache Placement ◽  
Multi Cloud ◽  
Load Balanced

scholarly journals Priority Intensed Meta Task Scheduling Algorithm for Multi Cloud Environment (PIMTSA)

2020 ◽  
Vol 1427 ◽  
pp. 012007
Author(s):  
BJ. Hubert Shanthan ◽  
L. Arockiam ◽  
A. Cecil Donald ◽  
A.Dalvin Vinoth Kumar ◽  
R. Stephen
Keyword(s):  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Multi Cloud

A strategic performance of virtual task scheduling in multi cloud environment

2017 ◽  
Vol 22 (S4) ◽  
pp. 9589-9597 ◽  
Author(s):  
C. Thirumalaiselvan ◽  
V. Venkatachalam
Keyword(s):  
Task Scheduling ◽  
Cloud Environment ◽  
Strategic Performance ◽  
Multi Cloud

scholarly journals Task scheduling Algorithms in Multi cloud Environment

2020 ◽  
Vol 8 (6) ◽  
pp. 4530-4533
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Task Scheduling ◽  
Resource Sharing ◽  
Optimal Solution ◽  
Cloud Environment ◽  
Server Side ◽  
The Past ◽  
Multiple Clouds ◽  
Multi Cloud

One of the most commonly used technology with massive demands in the field of distributed computing is cloud computing. Cloud computing has evolved in various forms like single cloud, hybrid cloud and multi-cloud. The evolution of cloud to handle hundred and thousands of user demands, at a time, thereby facilitating resource sharing, reduction in loss of information, elimination of data storage on server side and many many more the topic of task scheduling will be prominent in all forms of cloud computing and in distributed architecture. Here, we discuss the multiple cloud architecture and the scheduling techniques applied to evenly distribute the workload across multiple clouds. Algorithms like Cloud list Scheduling (CLS), Cloud min min scheduling (CMMS), Minimum completion cloud (MCC), Median max algorithm (MEMAX), Multiobjective scheduling (MOS) are some methods suggested in the past for finding a near to optimal solution for task allocation.

Sign in / Sign up

Export Citation Format

Share Document