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Selecting a scheduling rule that meets pre-specified response time demands

E. G. Coffman, I. Mitrani
1975 Proceedings of the fifth symposium on Operating systems principles - SOSP '75  
In this paper we study the problem of designing scheduling strategies when the demand on the system is known and waiting time requirements are pre-specified.  ...  This latter approach contributes only indirectly to the problem of finding satisfactory scheduling rules when the desired (or required) response-time performance is specifiable in advance.  ...  Mitrani, "The Design of Sequencing Rules to Meet Pre-Specified Re-Sponse-Time Demands," Technical Report, Computer Science Dept. , Pennsylvania State University, 1975. ( 2 ) 2 and using L 2 = (i-~)Li/c  ... 
doi:10.1145/800213.806536 dblp:conf/sosp/CoffmanM75 fatcat:zmalytryhjgz5funavil6e2pba

On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid [article]

Qunzhi Zhou, Yogesh Simmhan, Viktor Prasanna
2013 arXiv   pre-print
Demand-side load reduction is a key benefit of Smart Grids.  ...  However, existing demand response optimization (DR) programs fail to effectively leverage the near-realtime information available from smart meters and Building Area Networks to respond dynamically to  ...  Currently, these strategies are scheduled at pre-determined time periods, day(s) ahead, based on historical power usage trends.  ... 
arXiv:1311.6146v1 fatcat:smzynoqbuncozcdcypzkhi2uva

Page 55553 of The Federal Register / FIND Vol. 67, Issue 168 [page]

2002 The Federal Register / FIND  
and Frequency Response, and Operating Reserves for each entity that submits a Bid or Self-Schedule.  ...  over the day beginning with the next Operating Day, typically completing a one week look ahead. 1.10 Posting the Day-Ahead Schedule: By [a pre-defined deadline to be supplied by Independent Transmission  ... 

Real Time Dispatching - a catalyst to Assembly Test manufacturing execution automation

Bala Iyer, Binay Dash
2011 Proceedings of the 2011 Winter Simulation Conference (WSC)  
To address these issues we successfully leveraged the Real Time Dispatching (RTD) application framework to provide a variety of kitting capabilities.  ...  The accuracy, usability and product enhancement cycle times of these applications were constrained by data latency, inflexibility in business rule implementation and maintenance.  ...  Release of material out of SFGI therefore plays a critical role in meeting customer demand in a timely manner.  ... 
doi:10.1109/wsc.2011.6147919 dblp:conf/wsc/IyerD11 fatcat:qmljjrjlnrcxxfzaigiwpfco5y

DR-Advisor: A data-driven demand response recommender system

Madhur Behl, Francesco Smarra, Rahul Mangharam
2016 Applied Energy  
control for closed-loop optimal control 431 strategy for load shifting in a plant that is charged for electricity on both time-of-use and peak demand pricing.  ...  (Demand Response-Advisor), which acts as a recommender 77 system for the building's facilities manager and provides the power consumption prediction and control actions for 78 meeting the required load  ...  DR Baseline: In the DR baseline tab, the user can specify the start and end times for a DR event and DR-Advisor 303 generates the baseline prediction for that duration using the methods selected during  ... 
doi:10.1016/j.apenergy.2016.02.090 fatcat:iwvfe3g7x5eubpyugrtwjjwcki

The design of provincial ancillary service markets in China under the new-round electric power industry reform

Zhongming Xiang, Chao Guo, Huahua Wu, Jun Zhang, Changzheng Shao, Yi Ding
2019 IOP Conference Series: Earth and Environment  
The proposed framework illustrates how ancillary services could be procured and scheduled in a provincial electricity market.  ...  The comparisons between China's ancillary services management framework and that in mature electricity markets, such as PJM market, are made.  ...  Suppliers who meet the specified requirements provide corresponding services, while the service demanders without self-supply capability have to purchase from PJM.  ... 
doi:10.1088/1755-1315/227/3/032011 fatcat:qji5dvpfzbhd3ia6hlfnlkbulq

Executive Functioning Component Mechanisms and Schizophrenia

John G. Kerns, Keith H. Nuechterlein, Todd S. Braver, Deanna M. Barch
2008 Biological Psychiatry  
Results: The consensus was that two constructs have a well-founded basis in basic cognitive neuroscience research and seem to be impaired in schizophrenia: 1) rule generation and selection; and 2) dynamic  ...  A number of other constructs (e.g., scheduling, sequencing) could also be very important for schizophrenia and are in need of more basic and more clinical research.  ...  At the same time, it is also sometimes necessary to update and select new rule representations in performing a task.  ... 
doi:10.1016/j.biopsych.2008.04.027 pmid:18549874 fatcat:3tixky43srd5rkszpb2mhwv46m

Agent-Based Manufacturing: A Case Study

James Odell
2002 Journal of Object Technology  
A customer (or customer agent) creates an RFQ that specifies the desired products or services-along with a response date-and sends it to a broker agent.  ...  However, in a turbulent marketplace a schedule is impractical. Any small, unanticipated change in demand or factory floor conditions can substantially affect the schedule, rendering it obsolete.  ... 
doi:10.5381/jot.2002.1.5.c5 fatcat:6u55g3zlendz5pbunhzeuvrfqa

Page 50567 of The Federal Register / FIND Vol. 64, Issue 180 [page]

1999 The Federal Register / FIND  
The State could specify in the State Monitoring Plans a schedule that would correlate with compliance monitoring. This arrangement should enable systems to complete UCMR  ...  Also, up to 150 additional small systems might be selected for the Pre- Screen Testing.  ... 

Lightweight Resource Scaling for Cloud Applications

Rui Han, Li Guo, Moustafa M. Ghanem, Yike Guo
2012 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)  
Elastic resource provisioning is a key feature of cloud computing, allowing users to scale up or down resource allocation for their applications at run-time.  ...  This VM-level elasticity typically incurs both considerable overhead and extra costs, especially for applications with rapidly fluctuating demands.  ...  In addition, application owners specify the QoS demand as the required response time in a service level agreement (SLA). Without losing generality, this response time includes a lower bound ! !  ... 
doi:10.1109/ccgrid.2012.52 dblp:conf/ccgrid/HanGGG12 fatcat:yneo263m5fhs7e5f5sqrflduoa

Midwest iso co-optimization based real-time dispatch and pricing of energy and ancillary services

Xingwang Ma, Yonghong Chen, Jie Wan
2009 2009 IEEE Power & Energy Society General Meeting  
Key words -Real-time dispatch and pricing, LMP, Energy and ancillary service co-optimization, Intra-day reliability commitment, and Reserve demand curves Manitoba, Canada Generation Capacity 130,000 MW  ...  The key components of Midwest ISO's real-time market are described including intra-day reliability commitment, transmission security management, real-time dispatch and pricing.  ...  The ID RAC also makes sure that appropriate resources are selected to meet market-wide as well as local reserve zone AS requirements.  ... 
doi:10.1109/pes.2009.5276010 fatcat:un3qu65iknffpflop5g36d5dzm

Fog Paradigm for Local Energy Management Systems [chapter]

Amir Javed, Omer Rana, Charalampos Marmaras, Liana Cipcigan
2017 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
For instance, many such systems assume that the data has been pre-staged at a cloud platform prior to simulation, and do not take account of data transfer times from the building to the simulation platform.The  ...  Many such energy simulations require resource scalability and on-demand resources to meet the computational and data storage requirements.  ...  about EV, building energy and time) available locally, predict the charging schedule over one time step, or make adjustments (using pre-defined rules) to an existing schedule generated by LEMS if there  ... 
doi:10.1007/978-3-319-67636-4_18 fatcat:gdlbuttl3vakpkq57hiq5tsnk4

Learning based opportunistic admission control algorithm for MapReduce as a service

Jaideep Dhok, Nitesh Maheshwari, Vasudeva Varma
2010 Proceedings of the 3rd India software engineering conference on India software engineering conference - ISEC '10  
We propose a model that allows one to offer MapReduce jobs in the form of on-demand services.  ...  Admission Control has been proven essential to avoid overloading of resources and for meeting user service demands in utility driven grid computing.  ...  Users specify utility functions that indicate the price they are willing to pay as a function of time taken to complete service request.  ... 
doi:10.1145/1730874.1730903 dblp:conf/indiaSE/DhokMV10 fatcat:hni5sxjrjvff7a4bcdv7nwsecy

Creating a flexible, simulation-based finite scheduling tool

Barbara Werner Mazziotti, Richard Edward Horne
1997 Proceedings of the 29th conference on Winter simulation - WSC '97  
Today's business climate for manufacturers requires low inventory, quick response systems that turn out a wide variety of products.  ...  There are dozens of off-the-shelf scheduling tools available today, but their underlying capabilities may not meet the true needs of your system.  ...  In selecting the order to process, it is very common to come across more than one order that meets the criteria. Here it is important to define tie-breaking mechanisms.  ... 
doi:10.1145/268437.268665 fatcat:ag5ddzozqzbflky43l42kxsh3q

Data-Driven Modeling, Control and Tools for Cyber-Physical Energy Systems

Madhur Behl, Achin Jain, Rahul Mangharam
2016 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)  
Demand response (DR) is becoming increasingly important as the volatility on the grid continues to increase.  ...  We consider the problem of data-driven end-user DR for large buildings which involves predicting the demand response baseline, evaluating fixed rule based DR strategies and synthesizing DR control actions  ...  is reliable and can be used to choose the best rulebased strategy from a set of pre-determined rule-based DR strategies.  ... 
doi:10.1109/iccps.2016.7479093 dblp:conf/iccps/BehlJM16 fatcat:4mzreshkhjehjatlfkyjktpvja
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