Learning automata: an introduction
Learning automata: an introduction
Scheduling real-time transactions with disk resident data
VLDB '89 Proceedings of the 15th international conference on Very large data bases
Priority in DBMS resource scheduling
VLDB '89 Proceedings of the 15th international conference on Very large data bases
Goal-oriented buffer management revisited
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Start-time fair queueing: a scheduling algorithm for integrated services packet switching networks
IEEE/ACM Transactions on Networking (TON)
Cello: a disk scheduling framework for next generation operating systems
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Resource containers: a new facility for resource management in server systems
OSDI '99 Proceedings of the third symposium on Operating systems design and implementation
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Managing Memory to Meet Multiclass Workload Response Time Goals
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Disk Scheduling with Quality of Service Guarantees
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
Memory resource management in VMware ESX server
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Façade: Virtual Storage Devices with Performance Guarantees
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
Storage workload estimation for database management systems
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
pClock: an arrival curve based approach for QoS guarantees in shared storage systems
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Lottery scheduling: flexible proportional-share resource management
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
Argon: performance insulation for shared storage servers
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
Adaptive control of virtualized resources in utility computing environments
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Dynamic resource allocation for database servers running on virtual storage
FAST '09 Proccedings of the 7th conference on File and storage technologies
Sweet storage SLOs with Frosting
HotCloud'12 Proceedings of the 4th USENIX conference on Hot Topics in Cloud Ccomputing
Cake: enabling high-level SLOs on shared storage systems
Proceedings of the Third ACM Symposium on Cloud Computing
Dynamic global resource allocation in shared data centers and clouds
CASCON '12 Proceedings of the 2012 Conference of the Center for Advanced Studies on Collaborative Research
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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 to a shared network attached storage. Determining and enforcing per-application resource quotas on the fly in this context poses a complex resource allocation and control problem spanning many levels including the CPU, memory and storage resources within each physical server and/or across the server farm. This problem is further complicated by the need to provide end-to-end Quality of Service (QoS) guarantees to hosted applications. In this paper, we introduce a novel approach towards controlling application interference for resources in shared server farms. Specifically, we design and implement a minimally intrusive method for passing application-level QoS requirements through the software stack. 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. Our experimental evaluation, using the MySQL database engine and OLTP benchmarks, shows the effectiveness of our technique in enforcing high-level application Service Level Objectives (SLOs) in shared server farms.