Changes between Version 44 and Version 45 of ResourceManagement

Timestamp:

07/02/10 13:58:28 (14 years ago)

Author:

vuk (IP: 147.83.105.169)

Comment:

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ResourceManagement

@@ -11 +11 @@
 The ALOE computing resource management is based on two simple time management principles: time slots and pipelining (Figure 2). This facilitates the synchronized execution of the waveform modules on distributed computing resources while taking advantage of the continuous data flow that characterizes wireless communications. Based on these principles, ALOE applies a general-purpose mapping algorithm, the ''tw''-mapping, and a problem-specific cost function. The cost function implements the computing resource management objective or policy that guides the allocation of computing resources to computing requirements in a controlled manner.
 
-The ''tw''-mapping and more details about the ALOE computing resource management approach can be found in the attached document.
+The ''tw''-mapping, the cost function, and further details about the ALOE computing resource management approach can be found in document attached below.
+
+We currently investigate how to minimize the pipelining latency at the mapping and scheduling stages. Therefore, we examine new cost functions and evaluate their performance in different computing resource management scenarios. We, furthermore, address the scalability of the tw-mapping with the objective of applying it to large processor arrays and multiprocessor systems-on-chip (MPSoCs). We work on extensions of the tw-mapping algorithm itself, but, also, on pre and postprocessing add-ons.
 
 [[BR]]