[go: up one dir, main page]

Haque et al., 2015 - Google Patents

Greenpar: Scheduling parallel high performance applications in green datacenters

Haque et al., 2015

View PDF
Document ID
2448822630526307271
Author
Haque M
Goiri I
Bianchini R
Nguyen T
Publication year
Publication venue
Proceedings of the 29th ACM on International Conference on Supercomputing

External Links

Snippet

We propose GreenPar, a scheduler for parallel high-perormance applications in datacenters partially powered by on-site generation of renewable (" green'') energy. GreenPar schedules the workload to maximize the green energy consumption and minimize the grid (" brown'') …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/48Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5094Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5083Techniques for rebalancing the load in a distributed system
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BINDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B60/00Information and communication technologies [ICT] aiming at the reduction of own energy use
    • Y02B60/10Energy efficient computing
    • Y02B60/14Reducing energy-consumption by means of multiprocessor or multiprocessing based techniques, other than acting upon the power supply
    • Y02B60/142Resource allocation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F1/00Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
    • G06F1/26Power supply means, e.g. regulation thereof
    • G06F1/32Means for saving power
    • G06F1/3203Power Management, i.e. event-based initiation of power-saving mode
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BINDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B60/00Information and communication technologies [ICT] aiming at the reduction of own energy use
    • Y02B60/10Energy efficient computing
    • Y02B60/16Reducing energy-consumption in distributed systems
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • G06F2217/78Power analysis and optimization

Similar Documents

Publication Publication Date Title
Haque et al. Greenpar: Scheduling parallel high performance applications in green datacenters
Souza et al. Ecovisor: A virtual energy system for carbon-efficient applications
Goiri et al. Greenhadoop: leveraging green energy in data-processing frameworks
Goiri et al. Greenslot: scheduling energy consumption in green datacenters
Hanafy et al. Carbonscaler: Leveraging cloud workload elasticity for optimizing carbon-efficiency
Chen et al. Green-aware workload scheduling in geographically distributed data centers
Goiri et al. Matching renewable energy supply and demand in green datacenters
Hameed et al. A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems
Von Laszewski et al. Power-aware scheduling of virtual machines in dvfs-enabled clusters
Cheng et al. An energy-saving task scheduling strategy based on vacation queuing theory in cloud computing
Haque et al. Providing green slas in high performance computing clouds
Bates et al. Electrical grid and supercomputing centers: An investigative analysis of emerging opportunities and challenges
Li et al. Balancing the use of batteries and opportunistic scheduling policies for maximizing renewable energy consumption in a cloud data center
Cheng et al. Heterogeneity-aware workload placement and migration in distributed sustainable datacenters
US20150088586A1 (en) Live migration of virtualized systems
De Courchelle et al. Green energy efficient scheduling management
Buyya et al. Sustainable cloud computing: foundations and future directions
Li et al. Opportunistic scheduling in clouds partially powered by green energy
Liang et al. Memory-aware resource management algorithm for low-energy cloud data centers
Xiao et al. An energy-aware heuristic scheduling for data-intensive workflows in virtualized datacenters
Li et al. Managing server clusters on renewable energy mix
Peng et al. Energy-efficient management of data centers using a renewable-aware scheduler
Serenari et al. GreenWhisk: Emission-aware computing for serverless platform
Sun et al. Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale
Camus et al. A stochastic approach for optimizing green energy consumption in distributed clouds