TTSA : An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds
Abstract
Cloud-Based economy of scale attracts a growing number of organizations and industrial companies to deploy their applications in cloud data centers (CDCs) and provide services to users around the world. TTSA:An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds The uncertainty of arriving tasks makes it a big challenge for private CDC to cost-effectively schedule delay-bound tasks without exceeding their delay limits.
Unlike previous studies, this TTSA :An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds paper takes into account the cost-minimization problem for private CDC in hybrid clouds, where the energy price of private CDC and the execution price of public clouds both show the temporal diversity. This paper then proposes a temporary task scheduling algorithm (TTSA) to effectively dispatch all arriving tasks to private CDC and public clouds.
System Configuration
H/W System Configuration
Speed : 1.1 GHz
RAM : 256 MB(min)
Hard Disk : 20 GB
Floppy Drive : 1.44 MB
Key Board : Standard Windows Keyboard
Mouse : Two or Three Button Mouse
Monitor : SVGA
S/W System Configuration
Platform : cloud computing
Operating system : Windows Xp,7,
Server : WAMP/Apache
Working on : Browser Like Firefox, IE
Conclusion
Cost minimization is an important factor for private CDC because it aims to provide services to delay limited tasks in the most cost-effective way while guaranteeing their delay limits. The emergence of hybrid clouds allows private CDC to meet the delay of each arriving task by intelligently scheduling tasks between private CDC and public clouds even if the tasks of users peak unexpectedly.
