Task assignment algorithms for two-type heterogeneous multiprocessors

• Autor(es): Raravi, Gurulingesh ; Andersson, Björn ; Bletsas, Konstantinos ; Nélis, Vincent
• Data: 2012
• Identificador Persistente: http://hdl.handle.net/10400.22/3709
• Origem: Repositório Científico do Instituto Politécnico do Porto
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

Consider the problem of assigning real-time tasks on a heterogeneous multiprocessor platform comprising two different types of processors — such a platform is referred to as two-type platform. We present two linearithmic timecomplexity algorithms, SA and SA-P, each providing the follow- ing guarantee. For a given two-type platform and a given task set, if there exists a feasible task-to-processor-type assignment such that tasks can be scheduled to meet deadlines by allowing them to migrate only between processors of the same type, then (i) using SA, it is guaranteed to find such a feasible task-to- processor-type assignment where the same restriction on task migration applies but given a platform in which processors are 1+α/2 times faster and (ii) SA-P succeeds in finding 2 a feasible task-to-processor assignment where tasks are not allowed to migrate between processors but given a platform in which processors are 1+α/times faster, where 0<α≤1. The parameter α is a property of the task set — it is the maximum utilization of any task which is less than or equal to 1.