SCALABLE SOFTWARE MONITORING INFRASTRUCTURE, USING PARALLEL TASK QUEUING, TO OPERATE IN ELASTIC CLOUD ENVIRONMENTS

• US 20150365311A1
• Filed: 08/26/2015
• Published: 12/17/2015
• Est. Priority Date: 01/07/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Klein, Paul F.
• Granted Patent: US 10,110,456 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 2009/45591 Monitoring or debugging support
• CPC Class Codes: G06F 8/60 Software deployment
• CPC Class Codes: G06F 9/45558 Hypervisor-specific management and integration aspects
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70

Abstract

Provided are a method, a system, and a computer program product in which a plurality of cloud images that execute in a plurality of nodes are maintained by a monitoring server, in a cloud computing environment. The monitoring server maintains information on an increase and a decrease in number of the plurality of cloud images in the cloud computing environment.

Claims

1. A method, comprising:

maintaining, by a monitoring server, a plurality of cloud images that execute in a plurality of nodes, in a cloud computing environment; and

maintaining, by the monitoring server, information on an increase and a decrease in number of the plurality of cloud images in the cloud computing environment.

2. The method of claim 1, wherein a cloud image includes a signaling agent and a data collection agent, the method further comprising:

receiving, by the signaling agent of the cloud image, a request from the monitoring server to monitor one or more tasks offloaded by the monitoring server, wherein the one or more tasks are offloaded by the monitoring server for monitoring to the signaling agent of the cloud image.

3. The method of claim 2, the method further comprising:

performing, by the data collection agent of the cloud image, data collection from at least one or more of the plurality of cloud images to which the one or more tasks are offloaded.

4. The method of claim 3, wherein the monitoring server aggregates a plurality of requests for data collection and sends the plurality of requests in a single package to one or more signaling agents that execute on the plurality of cloud images.

5. The method of claim 3, wherein the data collection agent in association with other data collection agents collect information in parallel on at least performance characteristics to report to a customer for the customer to allocate further tasks for execution in the cloud computing environment.

6. The method of claim 1, wherein each of the plurality of cloud images is a virtual machine that executes on one or more of the plurality of nodes of the cloud computing environment, and wherein one or more virtual machine execute on at least some nodes of the plurality of nodes.

7. The method of claim 1, wherein at least 30000 cloud images are maintained in the cloud computing environment subsequent to the increase in the number of the plurality of cloud images in the cloud computing environment, wherein the monitoring node is unable to directly monitor tasks executing on the at least 30000 cloud images, and wherein software monitoring by the monitoring node is scalable with the increase in the number of the plurality of cloud images.

8-20. -20. (canceled)