Concepts inExploring portfolio scheduling for long-term execution of scientific workloads in IaaS clouds

Cloud computing

Cloud computing refers to the delivery of computing and storage capacity as a service to a heterogeneous community of end-recipients. The name comes from the use of clouds as an abstraction for the complex infrastructure it contains in system diagrams. Cloud computing entrusts services with a user's data, software and computation over a network. It has considerable overlap with software as a service (SaaS).  more from Wikipedia

Scheduling (computing)

In computer science, scheduling is the method by which threads, processes or data flows are given access to system resources (e.g. processor time, communications bandwidth). This is usually done to load balance a system effectively or achieve a target quality of service. The need for a scheduling algorithm arises from the requirement for most modern systems to perform multitasking (execute more than one process at a time) and multiplexing (transmit multiple flows simultaneously).  more from Wikipedia

Selection algorithm

In computer science, a selection algorithm is an algorithm for finding the kth smallest number in a list (such a number is called the kth order statistic). This includes the cases of finding the minimum, maximum, and median elements. There are, worst-case linear time, selection algorithms. Selection is a subproblem of more complex problems like the nearest neighbor problem and shortest path problems.  more from Wikipedia

Provisioning

In telecommunication, provisioning is the process of preparing and equipping a network to allow it to provide (new) services to its users. In NS/EP telecommunications services, "provisioning" equates to "initiation" and includes altering the state of an existing priority service or capability. In a modern signal infrastructure employing information technology at all levels, there is no distinction possible between telecommunications services and "higher level" infrastructure.  more from Wikipedia

Trace-based simulation

In computer science, trace-based simulation refers to system simulation by looking at traces of program execution or system component access with the purpose of performance prediction. Trace-based simulation may be used in a variety of applications, from the analysis of solid state disks to the message passing performance on very large computer clusters. Traced-based simulators usually have two components: one that executes actions and stores the results (i.e.  more from Wikipedia