[go: up one dir, main page]

Karlsson et al., 2005 - Google Patents

An adaptive optimal controller for non-intrusive performance differentiation in computing services

Karlsson et al., 2005

View PDF
Document ID
5481991507649703112
Author
Karlsson M
Zhu X
Karamanolis C
Publication year
Publication venue
2005 International Conference on Control and Automation

External Links

Snippet

Shared computing services must control resource usage to meet contractual performance goals for hosted customers. They must ensure performance isolation among the workloads of different customers and enforce prioritization when the service is overloaded. Existing …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/5044—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering hardware capabilities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5083—Techniques for rebalancing the load in a distributed system
    • G06F9/5088—Techniques for rebalancing the load in a distributed system involving task migration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • H04L67/1002—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers, e.g. load balancing
    • H04L67/1004—Server selection in load balancing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/32—Network-specific arrangements or communication protocols supporting networked applications for scheduling or organising the servicing of application requests, e.g. requests for application data transmissions involving the analysis and optimisation of the required network resources
    • H04L67/322—Network-specific arrangements or communication protocols supporting networked applications for scheduling or organising the servicing of application requests, e.g. requests for application data transmissions involving the analysis and optimisation of the required network resources whereby quality of service [QoS] or priority requirements are taken into account

Similar Documents

Publication Publication Date Title
Karlsson et al. An adaptive optimal controller for non-intrusive performance differentiation in computing services
Lu et al. Feedback utilization control in distributed real-time systems with end-to-end tasks
Karlsson et al. Triage: Performance isolation and differentiation for storage systems
US7694305B2 (en) Method of controlling access to computing resource within shared computing environment
US7362766B2 (en) System and method for dynamically controlling weights assigned to consumers competing for a shared resource
Karamanolis et al. Designing Controllable Computer Systems.
Pacifici et al. Performance management for cluster-based web services
Zhu et al. What does control theory bring to systems research?
Lu et al. Feedback control architecture and design methodology for service delay guarantees in web servers
Zhu et al. Utility-driven workload management using nested control design
Abdelzaher et al. Introduction to control theory and its application to computing systems
Pradhan et al. An observation-based approach towards self-managing web servers
US7827361B1 (en) Method of controlling access to computing resource within shared computing environment
Liu et al. Optimal multivariate control for differentiated services on a shared hosting platform
US20020174419A1 (en) Method and system for online data migration on storage systems with performance guarantees
US7707345B2 (en) Methods and apparatus for managing deadtime in feedback control queuing system
Grimaldi et al. A feedback-control approach for resource management in public clouds
Lesch et al. FOX: Cost-awareness for autonomic resource management in public clouds
Kjær et al. Resource allocation and disturbance rejection in web servers using SLAs and virtualized servers
Karlsson et al. Dynamic black-box performance model estimation for self-tuning regulators
Luna et al. Control in computing systems: Part I
Amirijoo et al. Specification and management of QoS in imprecise real-time databases
Strickland et al. Governor: Autonomic throttling for aggressive idle resource scavenging
Lawrence et al. Adaptive scheduling via feedback control for dynamic real-time systems
Krompass et al. Quality of service enabled database applications