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Interaction-aware scheduling of report-generation workloads

Mumtaz Ahmad, Ashraf Aboulnaga, Shivnath Babu, Kamesh Munagala
2011 The VLDB journal  
To demonstrate the potential of modeling and exploiting query interactions, we have developed a novel interactionaware query scheduler for report-generation workloads.  ...  We report an experimental evaluation of QShuffler using TPC-H workloads running on IBM DB2.  ...  We present QShuffler, a throughput oriented scheduler for BI report generation workloads.  ... 
doi:10.1007/s00778-011-0217-y fatcat:gauiszufivbt3jmcuazf43auya

Predicting completion times of batch query workloads using interaction-aware models and simulation

Mumtaz Ahmad, Songyun Duan, Ashraf Aboulnaga, Shivnath Babu
2011 Proceedings of the 14th International Conference on Extending Database Technology - EDBT/ICDT '11  
This question arises, for example, while planning the execution of different report-generation workloads to fit within available time windows.  ...  We show that a careful choice of sampling and statistical modeling strategies can result in accurate models that can be used in novel interaction-aware workload simulator to estimate workload completion  ...  Anatomy of an Interaction-aware Predictor We begin with an overview of our interaction-aware predictor of batch workload completion times.  ... 
doi:10.1145/1951365.1951419 dblp:conf/edbt/AhmadDAB11 fatcat:u4tytuk5gvcy3hiiawi23ymft4

Modeling and exploiting query interactions in database systems

Mumtaz Ahmad, Ashraf Aboulnaga, Shivnath Babu, Kamesh Munagala
2008 Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08  
As a concrete demonstration of the potential of capturing, modeling, and exploiting query interactions, we develop a novel interaction-aware query scheduler that targets report-generation workloads in  ...  The typical workload in a database system consists of a mixture of multiple queries of different types, running concurrently and interacting with each other.  ...  We present QShuffler, a throughput oriented scheduler for BI report generation workloads.  ... 
doi:10.1145/1458082.1458109 dblp:conf/cikm/AhmadABM08 fatcat:24ur2kfd7jdp3kopdqsnn5s3bi

Interaction-aware prediction of business intelligence workload completion times

Mumtaz Ahmad, Songyun Duan, Ashraf Aboulnaga, Shivnath Babu
2010 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)  
While planning the execution of report-generation workloads, database administrators often need to know how long different query workloads will take to run.  ...  This paper presents a novel approach for estimating workload completion time based on experiment-driven modeling and simulation of the impact of inter-query interactions.  ...  Figure 1 also shows the completion time predictions of our interaction-aware We are not aware of any work focusing on predicting the completion time of BI workloads, particularly in an interaction-aware  ... 
doi:10.1109/icde.2010.5447834 dblp:conf/icde/AhmadDAB10 fatcat:iygbefkoorgtxopfiknxpydkwm

Dynamic workload management in heterogeneous Cloud computing environments

Qi Zhang, Raouf Boutaba
2014 2014 IEEE Network Operations and Management Symposium (NOMS)  
interactions in multi-variable (e.g.  ...  Heterogeneity-Aware Capacity Provisioning • Energy cost is an important concern in data centers • Accounts for 12% of operational cost [Gartner Report 2010] • Governments policies for building energy-efficient  ...  • Variation of job running time is reported using unfairness metric • Did the experiments turn speculative execution on?  ... 
doi:10.1109/noms.2014.6838288 dblp:conf/noms/ZhangB14 fatcat:qlhsggqzdza6bd4mkcn4sy7f5i

Redoop infrastructure for recurring big data queries

Chuan Lei, Zhongfang Zhuang, Elke A. Rundensteiner, Mohamed Y. Eltabakh
2014 Proceedings of the VLDB Endowment  
Redoop employs innovative window-aware optimization techniques for such recurring workloads including adaptive window-aware data partitioning, cache-aware task scheduling, and inter-window caching mechanisms  ...  While backward compatible with regular MapReduce jobs, Redoop achieves an order of magnitude better performance than Hadoop for recurring workloads.  ...  inputs and window-aware task scheduling.  ... 
doi:10.14778/2733004.2733037 fatcat:cqmbdmqbzrh2ffuq47ar6ty5xy

Quality of Service-enabled Management of Database Workloads

Stefan Krompass, Andreas Scholz, Martina-Cezara Albutiu, Harumi A. Kuno, Janet L. Wiener, Umeshwar Dayal, Alfons Kemper
2008 IEEE Data Engineering Bulletin  
In this paper, we identify basic query classes and describe the challenges they pose for SLO-aware workload management. Additionally, we propose a generic architecture for an SLO-aware DBMS.  ...  We give an overview of workload management techniques already implemented in today's DBMS and outline future research directions for as yet unsupported concepts.  ...  Users are explicitly aware of the individual response times of interactively submitted queries, but the response time for batch jobs is measured for a set of queries as a whole.  ... 
dblp:journals/debu/KrompassSAKWDK08 fatcat:npvkmrayx5dudfzhwprpqjsgbu

A case for conservative workload modeling: Parallel job scheduling with daily cycles of activity

D.G. Feitelson, E. Shmueli
2009 2009 IEEE International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems  
We trace this to the ability of one scheduler to prioritize interactive jobs, which leads to implicitly delaying less critical work to nighttime, when it can utilize resources that otherwise would have  ...  of running and waiting jobs as sampled at different times of the day, with the CREASY and EASY schedulers (250 users).  ...  Our workload data is based on traces from the Parallel Workloads Archive, and we thank all those who have made this data available.  ... 
doi:10.1109/mascot.2009.5366139 dblp:conf/mascots/FeitelsonS09 fatcat:itghdufncbh27mfezmd5ghqwg4

Considering Etiquette in the Design of an Adaptive System

Michael C. Dorneich, Patricia May Ververs, Santosh Mathan, Stephen Whitlow, Caroline C. Hayes
2012 Journal of Cognitive Engineering and Decision Making  
However, overall situation awareness on secondary tasks suffered.  ...  Depending on a combination of message priority, user workload, and system state, it decides whether to interrupt the user's current tasks.  ...  Additionally, the authors would like to acknowledge the efforts of the Honeywell research and development team that supported the development of the prototypes, the running of the experiments, and the  ... 
doi:10.1177/1555343412441001 fatcat:sfuhjl7k7zeandtpxrai3zt4ry

Query interactions in database workloads

Mumtaz Ahmad, Ashraf Aboulnaga, Shivnath Babu
2009 Proceedings of the Second International Workshop on Testing Database Systems - DBTest '09  
Database workloads consist of mixes of queries that run concurrently and interact with each other.  ...  To capture and model query interactions, we propose using an experimental approach that is based on sampling the space of possible interactions and fitting statistical models to the sampled data.  ...  The scheduler schedules batches of long running queries in a report generation setting.  ... 
doi:10.1145/1594156.1594170 dblp:conf/sigmod/AhmadAB09 fatcat:hudy2myfr5edhpayjztsoxlr4q

Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications

Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das
2014 Proceedings of Workshop on General Purpose Processing Using GPUs - GPGPU-7  
As one example to the applicability of this concept, we augment the memory system hardware with application awareness such that requests from different applications can be scheduled in a round robin (RR  ...  ) fashion while still preserving the benefits of the current first-ready FCFS (FR-FCFS) memory scheduling policy.  ...  Acknowledgments We thank the anonymous reviewers, and the members of the NVIDIA Architecture and HPCL (Penn State) Research Groups for their comments.  ... 
doi:10.1145/2588768.2576780 fatcat:4hmbuppq6vhsffamyewz7yu5wi

Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters

Vincent van Beek, Jesse Donkervliet, Tim Hegeman, Stefan Hugtenburg, Alexandru Iosup
2015 Computer  
When workload volume is high, VM scheduling must be fully automated with minimal risk of low performance.  ...  WORKLOAD CHARACTERISTICS Business-critical workloads differ significantly from scientific and analytic workloads in the level of customer data sensitivity.  ...  Policies generally address the scheduling of VMs, rack-based clusters, and datacenters and specifically address the requirements for scheduling business-critical workloads, such as affinity and anti-affinity  ... 
doi:10.1109/mc.2015.206 fatcat:2byzbcnwyzas3bn4kuv2qc2b6q

MIMP: Deadline and Interference Aware Scheduling of Hadoop Virtual Machines

Wei Zhang, Sundaresan Rajasekaran, Timothy Wood, Mingfa Zhu
2014 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing  
In some ways, big data applications are an ideal fit for using this residual capacity to perform meaningful work, but the high level of interference between interactive and batch processing workloads currently  ...  Our approach uses performance models to match Hadoop tasks to the servers that will benefit them the most, and deadline-aware scheduling to effectively order incoming jobs.  ...  [13] developed VSched that schedules batch workloads within interactive VMs without compromising the usability of interactive applications.  ... 
doi:10.1109/ccgrid.2014.101 dblp:conf/ccgrid/ZhangRWZ14 fatcat:jtrr6mzphbgxnckzssfvid7npm

RAPID: an end-system aware protocol for intelligent data transfer over lambda grids

A. Banerjee, Wu-chun Feng, B. Mukherjee, D. Ghosal
2006 Proceedings 20th IEEE International Parallel & Distributed Processing Symposium  
In this paper we introduce a "Rate-Adaptive Protocol for Intelligent Delivery (RAPID)" of data that is lightweight and end-system performance-aware, so as to maximize end-to-end throughput while minimizing  ...  Next-generation e-Science applications will require the ability to transfer information at high data rates between distributed computing centers and data repositories.  ...  Illinois at Chicago for his helpful suggestions, Jeremy Archuleta at LANL and Univerity of Utah for his help with setting up the machines, and to Runzhen Huang and Prof.  ... 
doi:10.1109/ipdps.2006.1639329 dblp:conf/ipps/BanerjeeFMG06 fatcat:tvdt6r7zvjhgrnr5opiiqfsfre

A Primarily Survey on Energy Efficiency in Cloud and Distributed Computing Systems [article]

Nikzad Babaii Rizvandi, Albert Y. Zomaya
2012 arXiv   pre-print
A survey of available techniques in hardware to reduce energy consumption  ...  Rountree et al in [60] proposed an energy-aware schedule generation algorithm for DVFS-enabled processors where a combination of all processor frequencies is involved into an overall linear programming  ...  In [27] , an energy aware scheduling algorithm is formulated into a mathematical programming formulation of the scheduling and voltage/frequency assignment problem.  ... 
arXiv:1210.4690v2 fatcat:lw3g75tmtfforo3shuid4cbp3q
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