RU2015109182A - METHOD AND SYSTEM OF INTELLECTUAL MANAGEMENT OF RESOURCE ALLOCATION IN CLOUD COMPUTER MEDIA - Google Patents
METHOD AND SYSTEM OF INTELLECTUAL MANAGEMENT OF RESOURCE ALLOCATION IN CLOUD COMPUTER MEDIA Download PDFInfo
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- RU2015109182A RU2015109182A RU2015109182/08A RU2015109182A RU2015109182A RU 2015109182 A RU2015109182 A RU 2015109182A RU 2015109182/08 A RU2015109182/08 A RU 2015109182/08A RU 2015109182 A RU2015109182 A RU 2015109182A RU 2015109182 A RU2015109182 A RU 2015109182A
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- Prior art keywords
- resources
- model
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- redistribution
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- 238000000034 method Methods 0.000 title claims abstract 5
- 238000013468 resource allocation Methods 0.000 title claims 3
- 238000007726 management method Methods 0.000 title claims 2
- 230000015572 biosynthetic process Effects 0.000 claims abstract 3
- 230000002195 synergetic effect Effects 0.000 claims abstract 2
- 238000013528 artificial neural network Methods 0.000 claims 5
- 230000004913 activation Effects 0.000 claims 2
- 210000000987 immune system Anatomy 0.000 claims 2
- 230000001954 sterilising effect Effects 0.000 claims 1
- 238000004659 sterilization and disinfection Methods 0.000 claims 1
Classifications
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- 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
- H04L47/83—Admission control; Resource allocation based on usage prediction
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- 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]
- G06F9/5005—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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
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- 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
- H04L67/1023—Server selection for load balancing based on a hash applied to IP addresses or costs
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
1. Способ управления распределением информационных ресурсов, заключающийся в том, что посредством компьютера формируют модель использования и перераспределения ресурсов, отличающийся тем, что модель использования и перераспределения ресурсов в облачных вычислительных средах (Cloud computing environment) - в вычислительном облаке (ВО) формируют в виде модели IaaS (Infrastructure as a Service - Инфраструктура как сервис) с использованием концепции интеллектуальных алгоритмов, последовательно выполняя совокупность операций, включающую три основных этапа: на первом этапе в ВО выделяют ресурсы запускаемому экземпляру, на втором этапе проводят прогноз динамических параметров функционирования хостов (серверов) ВО, на третьем этапе осуществляют динамическое перераспределение ресурсов между экземплярами ВО, при этом модель формируют для максимализации показателя Еэффективности функционирования ВО в соответствии с выражением (1) и учетом ограничения (2):где Е- комплексный показатель эффективности ВО, отражающий совокупную синергетическую эффективность выполнения экземпляров в рамках каждого типа ресурсов ВО;Е, Е, Е, E- совокупность частных показателей, равных числу экземпляров с удовлетворенной потребностью в ресурсах, соответственно центрального процессора (ЦП), оперативной памяти (ОЗУ), в дисковых (Д) ресурсах, в сетевых (С) ресурсах;Т - время функционирования ВО (процессорное время);R- общий объем использующихся экземплярами ресурсов ВО;R- общий объем имеющихся ресурсов ВО,при этом на первом этап формирования модели IaaS выбирают наилучший адекватный хост для размещения экземпляра в ВО на основе анализа иерархий, на втором этапе прогноз д�1. A method of managing the distribution of information resources, which consists in the fact that a computer generates a model for the use and redistribution of resources, characterized in that the model for the use and redistribution of resources in cloud computing environments (Cloud computing environment) is formed in the form of a cloud IaaS (Infrastructure as a Service) models using the concept of intelligent algorithms, sequentially performing a set of operations that includes three main stages: at the first at the stage in VO, resources are allocated to the launched instance, at the second stage, the dynamic parameters of the functioning of the hosts (servers) of VO are forecasted, at the third stage, the resources are dynamically redistributed between the VO instances, and the model is formed to maximize the VO functioning efficiency indicator in accordance with expression (1) and taking into account the constraints (2): where E is a comprehensive indicator of the effectiveness of HE, reflecting the total synergistic efficiency of the execution of copies within each type of res courses VO; E, E, E, E - a set of private indicators equal to the number of copies with a satisfied need for resources, respectively, of a central processor (CPU), random access memory (RAM), disk (D) resources, network (C) resources ; T is the operating time of the HE (processor time); R is the total volume of HE resources used by the instances; R is the total amount of available HE resources, and at the first stage of the formation of the IaaS model, the best adequate host is selected for placing the instance in the HE based on the analysis of hierarchies, in the second stage, the forecast d
Claims (5)
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RU2015109182A RU2609076C2 (en) | 2015-03-16 | 2015-03-16 | Method and system for smart control over distribution of resources in cloud computing environments |
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RU2015109182A RU2609076C2 (en) | 2015-03-16 | 2015-03-16 | Method and system for smart control over distribution of resources in cloud computing environments |
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RU2015109182A true RU2015109182A (en) | 2015-07-20 |
RU2609076C2 RU2609076C2 (en) | 2017-01-30 |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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RU2665246C1 (en) * | 2017-11-09 | 2018-08-28 | Российская Федерация, от имени которой выступает Государственная корпорация по космической деятельности "РОСКОСМОС" | Hardware computing system of virtualization and resource management in the cloud computing environment |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
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RU2729228C1 (en) * | 2019-12-25 | 2020-08-05 | Федеральное государственное казенное военное образовательное учреждение высшего образования Академия Федеральной службы охраны Российской Федерации | Method of managing distribution of resources in distributed information-computing environments |
US11977914B2 (en) | 2020-12-29 | 2024-05-07 | Motorola Solutions, Inc. | Scheduling resource reservations in a cloud-based communication system |
Family Cites Families (7)
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US5129083A (en) * | 1989-06-29 | 1992-07-07 | Digital Equipment Corporation | Conditional object creating system having different object pointers for accessing a set of data structure objects |
US5444619A (en) * | 1993-09-27 | 1995-08-22 | Schlumberger Technology Corporation | System and method of predicting reservoir properties |
US6065046A (en) * | 1997-07-29 | 2000-05-16 | Catharon Productions, Inc. | Computerized system and associated method of optimally controlled storage and transfer of computer programs on a computer network |
CA2398823A1 (en) * | 2000-02-14 | 2001-08-23 | First Opinion Corporation | Automated diagnostic system and method |
RU2303809C2 (en) * | 2004-02-24 | 2007-07-27 | Корпорация "Самсунг Электроникс" | Information support system for computer user, method for forming and using said system |
US8024123B2 (en) * | 2007-11-07 | 2011-09-20 | Schlumberger Technology Corporation | Subterranean formation properties prediction |
RU2519058C2 (en) * | 2009-10-26 | 2014-06-10 | Сони Компьютер Энтертэйнмент Инк. | Device for creating image files, image processing device, method of creating image files, image processing method and image file data structure |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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RU2665246C1 (en) * | 2017-11-09 | 2018-08-28 | Российская Федерация, от имени которой выступает Государственная корпорация по космической деятельности "РОСКОСМОС" | Hardware computing system of virtualization and resource management in the cloud computing environment |
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RU2609076C2 (en) | 2017-01-30 |
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Effective date: 20190317 |