System and method for a cloud computing abstraction layer

Abstract

According to one system of the invention, the system provides a cloud-computing service from a cloud-computing environment having a plurality of cloud-computing resources. The system may include a management module configured to manage a cloud-computing resource of the plurality of cloud-computing resources as a cloud-computing service, wherein the cloud-computing service performs a computer workload, an adapter configured to connect to the cloud-computing resource to the system and translate a management instruction received from the management module into a proprietary cloud application program interface call for the cloud-computing resource, a cloud service bus configured to route the management instruction from the management module to the adapter, a consumption module configured to allow a user to subscribe the cloud-computing service, a planning module configured to plan the cloud-computing service, and a build module configured to build the cloud-computing service from the cloud-computing resource.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application is a continuation-in-part of and claims priority from U.S. patent application Ser. No. 12 / 488,424, filed Jun. 19, 2009, which is hereby incorporated herein by reference in its entirety. This application claims priority from U.S. Provisional Patent Application No. 61 / 296,405, filed Jan. 19, 2010, which is hereby incorporated herein by reference in its entirety.FIELD OF THE INVENTION[0002]The present invention relates to the field of cloud computing, and more particularly, the invention relates to systems and methods for securing, controlling and managing cloud infrastructure.DESCRIPTION OF THE RELATED ART[0003]Companies have begun offering businesses a new cloud computing outsourcing option that promises reduced costs, improved availability, improved scalability, and reduced time to deploy new applications. These companies act as managed service providers that rent virtual computer, storage, and Internet connectivity servi...

AI Technical Summary

Benefits of technology

[0006]Some systems may, for example, enable: self-service access to cloud-computing resources by end-users, developers, and admins; automated services with respect to cloud-computing services comprising of one or more cloud-computing resources (e.g., management, building, configuration, publication, validation, and development and deployment of cloud-computing services); rapid provisioning (e.g., deployment, release, scheduling, control etc.) of cloud-computing resources within a cloud-computing service; governance control of cloud-computing resources within a cloud-computing service (e.g., application of security and non-security policies to cloud-computing resources), audit control of cloud-computing services; or secure access to cloud-computing services. Accordingly, embodiments of the present invention provide on-demand access by internal users, external users (e.g. customers, service partners), and developers to cloud-computing services, such as infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS), provided from a governed federation of internal (private cloud) and external cloud (commercial cloud) service providers. Some such embodiments allow for rapid and dynamic deployment and scaling of cloud-computing services. A private cloud may comprise, for example, Eucalyptus Systems, VMWare vSphere®, or Microsoft® HyperV; and a public cloud may comprise, for example, Amazon EC2®, Amazon Web Services®, Terremark®, Savvis®, or GoGrid®.

[0028]In some embodiments, the computer workload may be scalable. For example, the computer workload may be scaled down to decrease the computer workload's use of memory and processing time during performance within a virtual private cloud or actually increase or decrease the number of cloud-computing resources which execute the computer workload. In further embodiments, the scaling is based on a policy, which may be associated with the computer workload, stored in a meta model, and pushed via an adaptor to or among various cloud computing resources.

Problems solved by technology

Many businesses, however, are currently unable to use cloud infrastructure because of a lack of security, control, and manageability of the computing capacity rented from the cloud infrastructure providers.

These problems prevent such businesses from maximizing their use of cloud infrastructure, which includes virtual server instances, storage, and Internet bandwidth.