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Deadline and QoS Aware Data Warehouse

Wen-Syan Li, Dengfeng Gao, Rafae Bhatti, Inderpal Narang, Hirofumi Matsuzawa, Masayuki Numao, Masahiro Ohkawa, Takeshi Fukuda
2007 Very Large Data Bases Conference  
Tools are available to optimize each step; however, many factors need to be considered for improving the overall performance of a data warehouse (i.e. meeting batch window deadline and ad hoc query response  ...  A data warehouse infrastructure needs to support the requirement of (day time) ad hoc query response time and (night time) batch workload completion time.  ...  Our system is able to consider batch window deadline and QoS requirement for ad hoc query response time into consideration.  ... 
dblp:conf/vldb/LiGBNMNOF07 fatcat:s57kiihv3bbb7hkq4nykocl65a

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers – A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based Approach [article]

Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian
2020 arXiv   pre-print
Improving resource utilization rate (RUtR), such as CPU and memory usages on servers, while maintaining Quality-of-Service (QoS) is one key challenge faced by CSPs with warehouse-scale data centers.  ...  This article presents H2O-Cloud, a Hierarchical and Hybrid Online task scheduling framework for warehouse-scale CSPs, to improve resource usage effectiveness while maintaining QoS.  ...  Therefore, hour scheduling is also deadline-aware and QoS-aware.  ... 
arXiv:1912.10808v3 fatcat:xbupxt4gwne35kf7lwiezqjs74

QoS Aware Middleware Support for Dynamically Reconfigurable Component Based IoT Applications

Aitor Agirre, Jorge Parra, Aintzane Armentia, Elisabet Estévez, Marga Marcos
2016 International Journal of Distributed Sensor Networks  
provide the required QoS level to the  ...  The platform has been deployed over an automated warehouse supervision system that serves as a case study. ance support for specific critical components, and aids in the registration and deployment of  ...  Acknowledgments This work was financed in part by the University of the Basque Country (UPV/EHU) under Project UFI 11/28 and by the MCYT&FEDER under Project DPI2015-68602-R.  ... 
doi:10.1155/2016/2702789 fatcat:g3y2dhpccvdlliat6mxt2fcoii

SURVEY OF STREAMING DATA WAREHOUSE UPDATE SCHEDULING

Madhuri A. Pandit .
2015 International Journal of Research in Engineering and Technology  
Rangdale and other staff of I.T. department of Siddhant College of Engineering, Pune for their helpful discussions.  ...  STREAMING DATA WAREHOUSE Streaming Data Warehouse Architecture The architecture of the streaming data warehouse is shown in Figure 1 . It has two types of tables, base tables and derived tables.  ...  Purpose of these processes is to refresh the tables in the data warehouse. And target is to improve data freshness.  ... 
doi:10.15623/ijret.2015.0403031 fatcat:cxbmrmvxtffupp5k6bfnz7z3b4

intelliQoS: Rethinking storage QoS implementation for system efficiency

Yuehai Xu, Marc Patton, Michael Devon Moore, Song Jiang
2015 2015 IEEE International Conference on Networking, Architecture and Storage (NAS)  
By assuming that only user-observable QoS is necessary for the system to fulfill, we relax QoS requirements on the storage system as long as such a relaxation is not noticeable to users.  ...  When QoS takes priority, the storage system has to serve requests with a sub-optimal efficiency. In this paper, we propose to relate QoS requirements specified for I/O requests to users' experiences.  ...  ACKNOWLEDGMENT This work was supported by US National Science Foundation under CAREER CCF 0845711 and CNS 1217948.  ... 
doi:10.1109/nas.2015.7255236 dblp:conf/nas/XuPMJ15 fatcat:7pvvh576vbaindkmsraqv3rooe

JSMCRP: Cross-Layer Architecture based Joint-Synchronous MAC and Routing Protocol for Wireless Sensor Network

Shruti Birur Viswanath, Thippeswamy Muddenahalli Nagendrappa, Krishna Rao Venkatesh
2021 ECTI Transactions  
JSMCRP employs Data Traffic Assessment, Prioritization and Scheduling (DTAPS), Proactive Network Monitoring and Knowledge (PNMK), Dynamic Congestion Index Estimation (DCIE), Adaptive Link Quality, Packet  ...  Dynamic network and node conditions often force classical protocols to undergo pre-mature link outage, delayed transmission, energy exhaustion and eventual QoS violation.  ...  node to enable transmission scheduling in such a manner that the relay node ensures delivery of data within the deadline time without compromising QoS and reliability.  ... 
doi:10.37936/ecti-eec.2021191.240719 fatcat:jxdzeblpgbgzdfua3dby6vvacm

QoS-Enabled Component Middleware for Distributed Real-Time and Embedded Systems [chapter]

Nanbor Wang, Douglas Schmidt, Gan Deng, Christopher Gill
2007 Chapman & Hall/CRC Computer & Information Science Series  
DOC middleware addresses functional aspects, such as how to define and integrate object interfaces and implementations, but does not address crucial QoS aspects, such as how to define and enforce deadlines  ...  Examples of such systems include avionics mission computing systems which help pilots plan and execute airborne missions, shipboard computing systems which help crews maintain situational awareness of  ...  deadlines.  ... 
doi:10.1201/9781420011746.pt3 fatcat:swedyievvrcbnfppo6ok26rlme

Multiprocessor Scheduling of Sensor Transactions for Real-Time Data Quality Maintenance

Tian Bai, Zhijie Li, Bo Fan
2020 Mobile Information Systems  
P-QM maximizes the data quality by judiciously determining the preallocated computation time of each sensor transaction and assigns the transactions to different processors.  ...  Two methods, named the Partitioned Scheduling for Quality Maximization (P-QM) and the improved P-QM scheduling (IP-QM), are proposed.  ...  warehouse.  ... 
doi:10.1155/2020/8834383 doaj:fb05182a22cb495488b21ea5fc51a876 fatcat:nfzoghunkfhbdim7vpijp3ofum

Service-Oriented Architecture for Drone-based Multi-Package Delivery [article]

Babar Shahzaad, Athman Bouguettaya
2022 arXiv   pre-print
In this regard, several approaches exist that focus on optimizing the drone delivery system by proposing payloadmass-aware trajectory planning [15] , load-dependent flight speed-aware [16] , and deadline-constrained  ...  ., warehouse) to the delivery destination (i.e., customer's building) are computed at the cloud level. The drone communicates with the cloud to store and retrieve real-time data during delivery.  ... 
arXiv:2206.04544v2 fatcat:r66fdp2uufcd3aohtnpjo4fn7q

Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions

Malika Bendechache, Sergej Svorobej, Patricia Takako Endo, Theo Lynn
2020 Future Internet  
In recent years, there has been significant advancement in resource management mechanisms for cloud computing infrastructure performance in terms of cost, quality of service (QoS) and energy consumption  ...  The emergence of the Internet of Things has led to the development of infrastructure that extends beyond centralised data centers from the cloud to the edge, the so-called cloud-to-thing continuum (C2T  ...  The evaluation is performed using a warehouse scale model of a cloud data center and a parallel time-advancing loop-based simulation framework.  ... 
doi:10.3390/fi12060095 fatcat:3fus7a5arncc3p4xgljm5lxium

Optimizing Quality-Aware Big Data Applications in the Cloud

Eugenio Gianniti, Michele Ciavotta, Danilo Ardagna
2018 IEEE Transactions on Cloud Computing  
The last years witnessed a steep rise in data generation worldwide and, consequently, the widespread adoption of software solutions able to support data-intensive applications.  ...  Competitiveness and innovation have strongly benefited from these new platforms and methodologies, and there is a great deal of interest around the new possibilities that Big Data analytics promise to  ...  In a nutshell, within the quality-aware development process envisioned by DICE, a DIA is associated with QoS requirements expressed in form of a maximum execution time (deadline) and concurrency level  ... 
doi:10.1109/tcc.2018.2874944 fatcat:w5eyjc6yf5hl7m34nwq5z5drja

Pattern-Identified Online Task Scheduling in Multitier Edge Computing for Industrial IoT Services

Nhu-Ngoc Dao, Duc-Nghia Vu, Yunseong Lee, Sungrae Cho, Chihyun Cho, Hyunbum Kim
2018 Mobile Information Systems  
In smart manufacturing, production machinery and auxiliary devices, referred to as industrial Internet of things (IIoT), are connected to a unified networking infrastructure for management and command  ...  Numerical simulation results show that the proposed PIOTS mechanism overcomes existing solutions in terms of computation performance and service capability.  ...  Related Work Optimal task assignments in multitier edge computing have been classified into three main categories: latency awareness, energy awareness, and quality-of-service (QoS) awareness including  ... 
doi:10.1155/2018/2101206 fatcat:cfuamcl3ljfhveb4tfyaioyjk4

Towards End-to-End Quality of Service: Controlling I/O Interference in Shared Storage Servers [chapter]

Gokul Soundararajan, Cristiana Amza
2008 Lecture Notes in Computer Science  
We leverage high-level per-application requirements for controlling I/O interference between multiple database applications, by QoS-aware dynamic resource partitioning at the storage server.  ...  Due to the imperative need to reduce the costs of management, power and cooling in large data centers, operators multiplex several concurrent applications on each physical server of a server farm connected  ...  We focus on dynamically partitioning I/O bandwidth at two levels: the operating system I/O scheduler and the shared storage scheduler.  ... 
doi:10.1007/978-3-540-89856-6_15 fatcat:yfpyzc2drne37gotxrpqhw6e4m

Power Management and Tasks Scheduling Analysis in Power-Aware Real-Time Systems

Jingyu Xing, Zhang Feng
2012 Physics Procedia  
In this paper, we give a detailed analysis about static, dynamic power management and scheduling techniques to reduce energy consumption of tasks that have deadlines.  ...  Power aware computing has become popular recently because of the vast application of the portable systems.  ...  Because in many large systems, such as complex satellite and data warehouses, the cost of energy consumption and cooling is substantial.  ... 
doi:10.1016/j.phpro.2012.05.049 fatcat:x2pnctibgjatrdcglgmu7actju

The PLASTIC Framework and Tools for Testing Service-Oriented Applications [chapter]

Antonia Bertolino, Guglielmo De Angelis, Lars Frantzen, Andrea Polini
2009 Lecture Notes in Computer Science  
and on-line testing stages.  ...  Some techniques and tools which fit within the outlined framework are presented.  ...  All the partners in the project have in different measures and ways inspired our ideas and collaborated with us.  ... 
doi:10.1007/978-3-540-95888-8_5 fatcat:hxls22dncjcehbxornk7nye4jq
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