MANAGED SERVICES COORDINATOR

• US 20160364265A1
• Filed: 09/29/2015
• Published: 12/15/2016
• Est. Priority Date: 06/15/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Cao, Bin, Hiebert, Daniel L., Muras, Brian R., Zubair, Tanveer
• Granted Patent: US 9,846,595 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 9/4818 Priority circuits therefor
• CPC Class Codes: G06F 9/4881 Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
• CPC Class Codes: G06F 9/50 Allocation of resources, e.g. of the central processing unit [CPU]
• CPC Class Codes: G06F 9/5011 the resources being hardware resources other than CPUs, Servers and Terminals
• CPC Class Codes: G06F 9/5072 Grid computing

Abstract

A method is provided for applying tasks. The method can include receiving a plurality of tasks for a plurality of applications, an application of the plurality of applications is hosted by a computing environment utilizing a monitoring agent, and a task is performed for an operation of the application during a first period of time. The method can also include determining a first resource type and a first resource amount from the computing environment for performing the task. The method can also include grouping the plurality of tasks into a set of tasks based on the first resource type, at least two tasks from the set of tasks being performable in parallel during the first period of time. The method can also include determining whether the first resource amount of the first resource type is present in the computing environment during the first period of time.

Claims

1. A method for applying tasks, comprising:

receiving a plurality of tasks for a plurality of applications, an application of the plurality of applications is hosted by a computing environment utilizing a monitoring agent, and a task is performed for an operation of the application during a first period of time;

determining a first resource type and a first resource amount from the computing environment for performing the task;

grouping the plurality of tasks into a set of tasks based on the first resource type, at least two tasks from the set of tasks being performable in parallel during the first period of time;

determining whether the first resource amount of the first resource type is present in the computing environment during the first period of time;

determining, in response to the first resource amount of the first resource type not being present in the computing environment, a priority of a task in the set of tasks based on both a second resource amount present in the computing environment and one or more prioritization factors; and

performing the task in the set of tasks as a function of the priority.

2. The method of claim 1, wherein the computing environment is a cloud computing environment.

3. The method of claim 2, further comprising:

determining whether a particular task of the plurality of tasks fulfills a policy dependency for a particular host within the computing environment; and

requesting, in response to the particular task fulfilling the policy dependency, the particular host from the computing environment that fulfills the policy dependency for the task of the plurality of tasks.

4. The method of claim 2, further comprising:

determining whether a particular task of the plurality of tasks fulfills a relationship dependency within the computing environment; and

requesting, in response to the particular task fulfilling the relationship dependency, a particular host from the computing environment that fulfills the relationship dependency for the task of the plurality of tasks.

5. The method of claim 1, wherein the one or more prioritization factors is selected from:

a user request, an imported priority, a resource type, a resource amount, a time of the task, and node continuity.

6. The method of claim 2, further comprising:

determining whether a resource dependency is sufficient within the computing environment; and

requesting, in response to the resource dependency being insufficient, additional resources beyond the first resource amount from the computing environment.

7. The method of claim 6, further comprising:

determining, in response to the resource dependency being insufficient, whether the task can be rescheduled to a second period of time; and

rescheduling the task, responsive to the determining whether the task can be rescheduled, to the second period of time.