IMPROVED COST BASED ALGORITHM FOR TASK SCHEDULING IN CLOUD COMPUTING

Title: Improved cost-based algorithm for task scheduling in cloud computing.

Domain: Cloud Computing

Abstract:
In cloud computing cost of each task in cloud resources is different with one another, scheduling of user tasks in cloud is not the same as in traditional scheduling methods. In this paper scheduling task groups in cloud computing platform, where resources have different resource costs and computation performance. The proposed scheduling approach in cloud employs an improved cost-based scheduling algorithm for making efficient mapping of tasks to available resources in cloud.

Key Features:

  1. In cloud computing cost of each task in cloud resources is different with one another, scheduling of user tasks in cloud is not the same as in traditional scheduling methods. In this paper scheduling task groups in cloud computing platform, where resources have different resource costs and computation performance. The proposed scheduling approach in cloud employs an improved cost-based scheduling algorithm for making efficient mapping of tasks to available resources in cloud.
  2. Usually tasks are scheduled by user requirements. New scheduling strategies need to be proposed to overcome the problems posed by network properties between user and resources.

  3. The systems architecture of the software systems involved in the delivery of cloud computing, typically involves multiple cloud components communicating with each other over application programming interfaces, usually web services This resembles the UNIX philosophy of having multiple programs each doing one thing well and working together over universal interfaces. Usually tasks are scheduled by user requirements.

  4. The proposed scheduling approach in cloud employs an improved cost-based scheduling algorithm for making efficient mapping of tasks to available resources in cloud. This scheduling algorithm measures both resource cost and computation performance, it also improves the computation/communication ratio by grouping the user tasks according to a particular cloud resource’s processing capability and sends the grouped jobs to the resource.

  5. Many cloud-computing offerings employ the utility computing model, which is analogous to how traditional utility services (such as electricity) are consumed, whereas others bill on a subscription basis. Sharing “perishable and intangible” computing power among multiple tenants can improve utilization rates, as servers are not unnecessarily left idle (which can reduce costs significantly while increasing the speed of application development).

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https://www.techgig.com/expert-speak/Microsoft-Project-2010-Series-Session-5-Assigning-resources-people-and-material-and-costs-fixed-variable-244

In session 5 of this series, I will be discussing on assignments. Assignment is the last step of data to enter into the project schedule. After this step, you will have a draft schedule that contains the world of the resources: resource loaded schedule. At the end of this webinar, you will:

Know what an assignment is for part-time and full-time resources
Know the usage of the assignment-specific fields
Be able to control the effect of changing work, duration and units on assignment
Be able to learn the different methods for assignments – Team Planner, Task Sheet, Task Form, Task Information, Assign Resources
Be able to identify the critical path in your schedule