BR112016024578A2 - armazenamento escalonável de balanceamento de carga que utiliza módulos de otimização - Google Patents

armazenamento escalonável de balanceamento de carga que utiliza módulos de otimização

Info

Publication number
BR112016024578A2
BR112016024578A2 BR112016024578A BR112016024578A BR112016024578A2 BR 112016024578 A2 BR112016024578 A2 BR 112016024578A2 BR 112016024578 A BR112016024578 A BR 112016024578A BR 112016024578 A BR112016024578 A BR 112016024578A BR 112016024578 A2 BR112016024578 A2 BR 112016024578A2
Authority
BR
Brazil
Prior art keywords
optimization
load balancing
scalable storage
optimization module
optimization modules
Prior art date
Application number
BR112016024578A
Other languages
English (en)
Inventor
E Skjolsvold Arild
Gene Calder Bradley
Song Hosung
Wang Ju
Burton Harris Ralph Iii
Ji Xinhua
Original Assignee
Microsoft Technology Licensing Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsoft Technology Licensing Llc filed Critical Microsoft Technology Licensing Llc
Publication of BR112016024578A2 publication Critical patent/BR112016024578A2/pt

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004—Server selection for load balancing
    • H04L67/1025—Dynamic adaptation of the criteria on which the server selection is based
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601—Interfaces specially adapted for storage systems
    • G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
    • G06F3/0671—In-line storage system
    • G06F3/0683—Plurality of storage devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/70—Admission control; Resource allocation
    • H04L47/78—Architectures of resource allocation
    • H04L47/783—Distributed allocation of resources, e.g. bandwidth brokers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Human Computer Interaction (AREA)
  • Debugging And Monitoring (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Computer And Data Communications (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

trata-se de um método que inclui determinar que uma condição de disparo de um módulo de otimização disparado dentre uma pluralidade de módulos de otimização é cumprida e otimizar o armazenamento escalonável com base em uma rotina de otimização. a rotina de otimização inclui fornecer uma pluralidade de operações candidatas e para um módulo de otimização selecionado dentre a pluralidade de módulos de otimização que tem uma prioridade mais alta do que o módulo de otimização disparado, remover uma operação candidata da pluralidade de operações candidatas que diminuiriam um estado modelado do armazenamento escalonável para o módulo de otimização selecionado. a rotina de otimização também inclui determinar pelo menos uma operação dentre a pluralidade de operações candidatas que aprimorariam o estado modelado do armazenamento escalonável para o módulo de otimização disparado e atualizar o estado modelado do armazenamento escalonável para modelar com a execução da pelo menos uma operação. o método inclui ainda executar a pelo menos uma operação.
BR112016024578A 2014-05-01 2015-04-29 armazenamento escalonável de balanceamento de carga que utiliza módulos de otimização BR112016024578A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/267,659 US9609054B2 (en) 2014-05-01 2014-05-01 Load balancing scalable storage utilizing optimization modules
PCT/US2015/028310 WO2015168296A1 (en) 2014-05-01 2015-04-29 Load balancing scalable storage utilizing optimization modules

Publications (1)

Publication Number Publication Date
BR112016024578A2 true BR112016024578A2 (pt) 2017-08-15

Family

ID=53267578

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112016024578A BR112016024578A2 (pt) 2014-05-01 2015-04-29 armazenamento escalonável de balanceamento de carga que utiliza módulos de otimização

Country Status (5)

Country Link
US (1) US9609054B2 (pt)
EP (1) EP3138005A1 (pt)
CN (1) CN106233256B (pt)
BR (1) BR112016024578A2 (pt)
WO (1) WO2015168296A1 (pt)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9826041B1 (en) * 2015-06-04 2017-11-21 Amazon Technologies, Inc. Relative placement of volume partitions
US9826030B1 (en) 2015-06-04 2017-11-21 Amazon Technologies, Inc. Placement of volume partition replica pairs
US10657127B2 (en) * 2016-11-28 2020-05-19 Sap Se Distributed joins in a distributed database system
US10545798B2 (en) * 2017-01-31 2020-01-28 Splunk Inc. Resegmenting chunks of data for efficient load balancing across indexers
KR102384643B1 (ko) * 2017-08-17 2022-04-08 엘지전자 주식회사 전자 장치 및 그 제어 방법
US11126608B2 (en) 2018-01-31 2021-09-21 Salesforce.Com, Inc. Techniques and architectures for partition mapping in a multi-node computing environment

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7140020B2 (en) 2000-01-28 2006-11-21 Hewlett-Packard Development Company, L.P. Dynamic management of virtual partition computer workloads through service level optimization
US8024738B2 (en) * 2006-08-25 2011-09-20 International Business Machines Corporation Method and system for distributing unused processor cycles within a dispatch window
US20080195646A1 (en) 2007-02-12 2008-08-14 Microsoft Corporation Self-describing web data storage model
US8838889B2 (en) 2010-01-19 2014-09-16 Infinidat Ltd. Method of allocating raid group members in a mass storage system
US8433848B1 (en) * 2010-03-30 2013-04-30 Emc Corporation Analysis tool for a multi-tier storage environment
US8566553B1 (en) * 2010-06-30 2013-10-22 Emc Corporation Techniques for automated evaluation and movement of data between storage tiers
US8566546B1 (en) * 2010-09-27 2013-10-22 Emc Corporation Techniques for enforcing capacity restrictions of an allocation policy
US8484654B2 (en) * 2010-11-23 2013-07-09 International Business Machines Corporation Determining suitable network interface for partition deployment/re-deployment in a cloud environment
US8452819B1 (en) 2011-03-22 2013-05-28 Amazon Technologies, Inc. Methods and apparatus for optimizing resource utilization in distributed storage systems
US9110591B2 (en) 2011-04-22 2015-08-18 Hewlett-Packard Development Company, L.P. Memory resource provisioning using SAS zoning
US9448849B2 (en) 2011-08-31 2016-09-20 Oracle International Corporation Preventing oscillatory load behavior in a multi-node distributed system
US8661136B2 (en) 2011-10-17 2014-02-25 Yahoo! Inc. Method and system for work load balancing
US9804928B2 (en) 2011-11-14 2017-10-31 Panzura, Inc. Restoring an archived file in a distributed filesystem
US8868711B2 (en) 2012-02-03 2014-10-21 Microsoft Corporation Dynamic load balancing in a scalable environment
US8838887B1 (en) 2012-03-30 2014-09-16 Emc Corporation Drive partitioning for automated storage tiering

Also Published As

Publication number Publication date
EP3138005A1 (en) 2017-03-08
US9609054B2 (en) 2017-03-28
WO2015168296A1 (en) 2015-11-05
CN106233256A (zh) 2016-12-14
US20150319234A1 (en) 2015-11-05
CN106233256B (zh) 2019-09-17

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Legal Events

Date Code Title Description
B08F Application dismissed because of non-payment of annual fees [chapter 8.6 patent gazette]

Free format text: REFERENTE A 5A ANUIDADE.

B08K Patent lapsed as no evidence of payment of the annual fee has been furnished to inpi [chapter 8.11 patent gazette]

Free format text: REFERENTE AO DESPACHO 8.6 PUBLICADO NA RPI 2564 DE 2020-02-27

B350 Update of information on the portal [chapter 15.35 patent gazette]