Capability-based abstraction of software-defined infrastructure

#The present invention relates generally to the field of virtualization in cloud computing, and more particularly to workload management.

#Current virtualization and cloud solution allow abstraction of the computing, storage, and network resources in terms of their capacity through standardization of the underlying system architecture to simplify the abstraction of these resources. On the other hand, the workload-optimized system approach relies on tight integration of the workload (including compiler) to the underlying system architecture. This approach allows direct leverage of the special capabilities offered by each micro-architecture and by the system level capabilities at the expense of required labor-intensive optimization and tuning.

#A framework, referred to herein as the “Pfister framework,” has been used to describe workload characteristics of a given application. The Pfister framework considers “thread contention” versus “data contention.” With that in mind, four workload categories are defined: (i) mixed workload updating shared data or queues (such as enterprise software, also known as application and integration middleware); (ii) highly threaded applications; (iii) parallel data structures with analytics (such as frameworks for storage and large-scale processing of data sets on cluster computing environments); and (iv) small discrete applications.

#FIG. 1 depicts a cloud computing node used in a first embodiment of a system according to the present invention;

#FIG. 2 depicts an embodiment of a cloud computing environment (also called the “first embodiment system”) according to the present invention;

#FIG. 3 depicts abstraction model layers used in the first embodiment system;

#Computing resources are characterized according to their capability to develop capability-based resource abstractions. Resource abstractions are assigned to a specified workload according to workload requirements. The present invention is a system, a method, and/or a computer program product. The computer program product includes a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present invention.

#The computer readable storage medium is a tangible device that retains and/or stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.

#Computer readable program instructions described herein are, according to some embodiments, downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network comprises copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.