De-De Dodging Algorithm for Scheduling Multiple Workflows in Hybrid Cloud

Provided by: International Journal of Computer Applications
Topic: Cloud
Format: PDF
Workflow-based applications usually consist of multiple instances depending on a single workflow, which are jobs with control or data dependencies to provide a well-defined scientific computation task, with each instances acting on its own input data. Due to the raise in convention of many applications currently, there is necessitating for high processing and storage capacity along with the consideration of cost and instance use and also without any deadlocks between those instances. To improve the performance of the entire system a high degree of concurrency is obtained by running multiple instances at the same time. On the other hand, since the amount of storage is limited on most systems, deadlock due to numerous storage requests would-be a problem.

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