Title
Using a task-specific QoS for controlling sensing requests and scheduling
Abstract
Typically, management of networked computational and sensing nodes is based upon a quality of service metric (QoS) that is based on some generic principles, like "be fair in allocating resources" or "utilize the CPU capacity to the maximum". The consequences of accepting such a starting point is that (1) task-specific resource requirements are not taken into consideration, and (2) computational and communication resources are saturated without paying attention to whether such a high load is necessary or not. We describe some of our efforts on how to improve the situation described above. In particular, we discuss one of the approaches that we are currently investigating that can be summarized by the following three points. (1) We use a task-specific QoS (TS-QoS) as a variable that is controlled by our system. (2) Requests for resources are generated based upon the feedback provided by the TS-QoS, where the request generator's parameters are adjusted using a simple PID controller. (3) A dynamic programming based algorithm is used for scheduling resource. Simulations using sensor resources show some of the advantages of the proposed approach.
Year
DOI
Venue
2004
10.1109/NCA.2004.1347786
NCA
Keywords
Field
DocType
optimisation,processor scheduling,cpu capacity,task-specific resource requirement,quality of service,request generator parameters,task specific resource requirements,high load,resource allocation,resource scheduling,computational resources,sensor resource,pid controller,sensor resources,communication resource,task-specific qos,sensing requests,communication resources,sensors,generic principle,dynamic programming,networked computational,sensing request control,three-term control,quality of service metric
Dynamic programming,Central processing unit,Fair-share scheduling,PID controller,Computer science,Scheduling (computing),Computer network,Quality of service,Resource allocation,Processor scheduling,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-2242-4
1
0.36
References 
Authors
3
3
Name
Order
Citations
PageRank
Yong Xun170.91
Mieczyslaw M. Kokar2498148.01
Kenneth Baclawski358474.71