By Dawei Li, Jie Wu
Multiprocessor systems play vital roles in glossy computing structures, and seem in numerous purposes, starting from energy-limited hand held units to giant facts facilities. because the functionality necessities bring up, energy-consumption in those structures additionally raises signiﬁcantly. Dynamic Voltage and Frequency Scaling (DVFS), which permits processors to dynamically alter the availability voltage and the clock frequency to function on diﬀerent power/energy degrees, is taken into account an eﬀective option to in attaining the aim of energy-saving. This publication surveys current works which have been on energy-aware job scheduling on DVFS multiprocessor platforms.
Energy-aware scheduling difficulties are intrinsically optimization difficulties, the formulations of which drastically rely on the platform and activity types into consideration. hence, Energy-aware Scheduling on Multiprocessor Platforms covers present examine in this subject and classiﬁes current works in response to key criteria, specifically, homogeneity/heterogeneity of multiprocessor systems and the duty varieties thought of. less than this classiﬁcation, different sub-issues also are incorporated, akin to, slack reclamation, ﬁxed/dynamic precedence scheduling, partition-based/global scheduling, and application-speciﬁc strength intake, etc.
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Extra info for Energy-aware Scheduling on Multiprocessor Platforms
It can be seen that, in some cases, assigning the last task according to this iterative scheme may not be optimal. Thus, for the last task, the assignment, which can achieve the minimal overall energy consumption among all possible assignments for the last task, is selected. An illustrative example is provided below, which deals with assigning eight tasks to three processors. 1. A reference execution time matrix is denoted by t8×3 , where ti, j = WCECi /λi, j , which is also provided in the same table.
Based on the optimal LLREF algorithm described above, the authors in  propose two static energy-efficient algorithms for homogeneous multiprocessor systems. The first one is called Uniform RT-SVFS, which claims that a periodic task 34 3 Scheduling on Homogeneous DVFS Multiprocessor Platforms 4 0 8 8 0 16 12 6 0 12 20 24 18 24 16 24 Fig. 13 Creating T-L planes according to periodic tasks’ deadlines Fig. 14 The first T-L plane 4 3 2 1 0 1 3 2 4 4 0 4 6 8 12 16 18 20 24 Fig. 15 All of the T-L planes for the periodic task set set with total utilization U total ≤ α m and U max ≤ α will be scheduled to meet all deadlines on m processors with frequency α by LLREF.
The total energy consumption of the m cores for each combination of m1 + m2 = m is calculated, and finally, the best combination is selected. 2. 225. Thus, τ1 is a Heavy Task, τ2 is Medium Task, and τ3 is a Light Task. Assume that the optimal number of processors to execute τ1 concurrently is 3. 4 are the utilizations of τ1 split onto M1 , M2 , M3 , respectively. 28 3 Scheduling on Homogeneous DVFS Multiprocessor Platforms Fig. 7 Assignment of sufficient cores f t1 t f t1 t f t1 t f t2 t f t3 t Fig.