تگ scheduling

جزئیات خدمات ترجمه در ترجمه تخصصی

task
task
load
workflow
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I.J. Information Technology and Computer Science, 2012, 10, 74-79
Accepted Manuscript
Computers in Industry 61 (2010) 112–126
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J.ParallelDistrib.Comput.71(2011)1518–1531
International Journal of Soft Computing and Engineering (IJSCE)
Information Sciences 192 (2012) 228–243
2013 IEEE 37th Annual Computer Software and Applications Conference Workshops
Energy Conversion and Management 52 (2011) 3457–3464
Information Sciences 192 (2012) 228–243
INS 10639 No. of Pages 33, Model 3G
Information Sciences 192 (2012) 228–243
Information Sciences 192 (2012) 228–243
INS 10639 No. of Pages 33, Model 3G
ISSN: 2321-7782 (Online)
ISSN: 2321-7782 (Online)
A WSN is a highly dynamic network because nodes die
A WSN is a highly dynamic network because nodes die
A WSN is a highly dynamic network because nodes die
A WSN is a highly dynamic network because nodes die
A WSN is a highly dynamic network because nodes die
Cloud Computing
Archana Pawar et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.4, April- 2014, pg. 928-933
REVIEW ARTICLE
REVIEW ARTICLE
Comparison of Virtual Machine Scheduling Algorithms in
J.ParallelDistrib.Comput.72(2012)525–535
Advances in Engineering Software 41 (2010) 966–975
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, VOL. 60, NO. 3, AUGUST 2013 617
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2010 IEEE International Conference on Granular Computing
Expert Systems with Applications 41 (2014) 7621–7629
task scheduling problem in cloud computing has become an active
3
G Model
126 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 23, NO. 1, JANUARY 2012
126 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 23, NO. 1, JANUARY 2012
WirelessPersCommun(2014)74:585–599
J.ParallelDistrib.Comput. ( ) –
Scheduling problems for cloud computing
Scheduling problems for cloud computing
G Model
G Model
Wireless Pers Commun (2014) 74:585–599
Data centers are becoming increasingly popular for the provisioning of
Early solutions implemented distributed algorithms formaking data center hardware energy
INS 10473 No. of Pages 13, Model 3G
3
International Journal of Computer Trends and Technology (IJCTT) – volume 9 number 7– Mar 2014
International Journal of Computer Applications (0975 – 8887)
Expert Systems with Applications 42 (2015) 238–245
Computers & Industrial Engineering 63 (2012) 302–312
INS 10473 No. of Pages 13, Model 3G
Int. J. Production Economics∎ (∎∎∎∎)∎∎∎–∎∎∎
Int. J. Production Economics∎ (∎∎∎∎)∎∎∎–∎∎∎
Int J Adv Manuf Technol (2009) 42:553–568
INS 10473 No. of Pages 13, Model 3G
INS 10473 No. of Pages 13, Model 3G
INS 10473 No. of Pages 13, Model 3G
INS 10473 No. of Pages 13, Model 3G
JZhou et al—A review of methods and algorithms 1097
GENETIC ALGORITHM AND NEURAL NETWORK HYBRID APPROACH
GENETIC ALGORITHM AND NEURAL NETWORK HYBRID APPROACH
Applied Mathematical Modelling 30 (2006)147–154
Applied Mathematical Modelling 30 (2006)147–154
Applied Mathematical Modelling 30 (2006)147–154
Performability Evaluation of Resource Scheduling Algorithms
2010 Ninth International Conference on Grid and Cloud Computing
A Case Study on Hershey's ERP
Int J Flex Manuf Syst (2007) 19:1–40
The current standard operating procedure in healthcare environment for patient
NFC Enabled Intelligent Hospital
The current standard operating procedure in healthcare environment for patient
The current standard operating procedure in healthcare environment for patient
patient appointment and priority calls are all very crucial in
FutureGenerationComputerSystems ( ) –
FutureGenerationComputerSystems ( ) –
Efficient Resource Management for Cloud
J Supercomput (2014) 69:739–765
J Supercomput (2014) 69:739–765
J Supercomput (2014) 69:739–765
Cluster Comput (2014) 17:1001–1011
Task scheduling on computational Grids using Gravitational
Cluster Comput (2014) 17:1001–1011
Cluster Comput (2014) 17:1001–1011
Scheduling Real-time Workﬂow on
OPTIMAL GENERATION SCHEDULING OF CASCADED
Computer Communications 32 (2009) 511–521
SEC. 8.1 MULTIPROCESSORS 539
The Journal of Systems and Software 89 (2014) 99– 108
An Optimized Solution for Mobile Environment
2014 IEEE 6th International Conference on Cloud Computing Technology and Science
Review
IEEE WCNC'14 Track 3 (Mobile and Wireless Networks)
ISSN: 2277-3754
2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing
International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
Your manuscript has been reviewed, and we regret to inform you that it has not been found suitable for
CROSS-LAYER SCHEDULING IN CLOUD COMPUTING
Meeting Scheduling using Agent based Modeling and
Electrical Power and Energy Systems 65 (2015) 432–442
Expert Systems with Applications 41 (2014) 7621–7629
Electrical Power and Energy Systems 65 (2015) 432–442
Electrical Power and Energy Systems 65 (2015) 432–442
Batch scheduling of consolidated virtual machines based on their workload
Electrical Power and Energy Systems 65 (2015) 432–442
Electrical Power and Energy Systems 65 (2015) 432–442
Grid: An Architectural Pattern
Electrical Power and Energy Systems 65 (2015) 432–442
Wireless Netw (2011) 17:1441–1459
J. Inst. Eng. India Ser. B
Evaluation and Comparaison of Scheduling
Teixeira and Guardieiro EURASIP Journal on Wireless Communications and Networking 2011, 2011:113
842 JOURNAL OF COMPUTERS, VOL. 8, NO. 4, APRIL 2013
COMMUNICA TIONS
JournalofIntelligent&FuzzySystemsxx(20xx)x–xx
Multi-Objective Ant Colony Optimization
COMMUNICA TIONS
COMMUNICA TIONS
COMMUNICA TIONS
4
4
General Measu remen t Principles
4
4
4
Big Data Processing Using Hadoop: Survey on
FutureGenerationComputerSystems29(2013)751–762
Applied Soft Computing 24 (2014) 432–446
Survey on MapReduce Scheduling Algorithms
Applied Soft Computing 10 (2010) 703–710
Computers & Industrial Engineering 87 (2015) 569–579
Ann Oper Res (2014) 213:271–291
Ann Oper Res (2014) 213:271–291
1
Expert Systems with Applications 38 (2011) 7609–7615
Expert Systems with Applications 38 (2011) 7609–7615
Expert Systems with Applications 38 (2011) 7609–7615
RoboticsandAutonomousSystems72(2015)131–138
European Journal of Operational Research 239 (2014) 593–608
docking is a distribution strategy that enables the consolidation of
docking is a distribution strategy that enables the consolidation of
ISSN (Print) : 0974-6846
This article investigates the scheduling of a distribution system consisting
This article investigates the scheduling of a distribution system consisting
42 JOURNAL OF COMPUTERS, VOL. 7, NO. 1, JANUARY 2012
European Journal of Operational Research 207 (2010) 1–14
Author's Accepted Manuscript
Solving flow shop scheduling problem using a parallel geneticalgorithm Abstract
Solving flow shop scheduling problem using a parallel geneticalgorithm Abstract
Solving flow shop scheduling problem using a parallel geneticalgorithm Abstract
The following table lists documented savings that companies have had
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Swarm and Evolutionary Computation ∎ (∎∎∎∎) ∎∎∎–∎∎∎
Information Sciences 319 (2015) 71–91
Information Sciences 319 (2015) 71–91
Multi-node Scheduling Algorithm
International Journal of Grid Computing & Applications (IJGCA) Vol.3, No.4, December 2012
International Journal of Grid Computing & Applications (IJGCA) Vol.3, No.4, December 2012
ISBN 978-93-84422-22-6
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International Journal of Grid Computing & Applications (IJGCA) Vol.3, No.4, December 2012
2014 2nd International Conference on Systems and Informatics (ICSAI 2014)
ARTICLE IN PRESS
CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE
Algorithm 1 The Future-Demand-Friendly Heuristic at Time
(h) I(J) = 1,
(h) I(J) = 1,
CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE
Algorithm 1 The Future-Demand-Friendly Heuristic at Time
(h) I(J) = 1,
An introduction of LTE network
Scheduling Algorithm for Real-Time Applications in Grid Environment
Applied Soft Computing 32 (2015) 132–143
Efficient Optimal Algorithm of Task Scheduling in Cloud Computing Environment
Optimal Task Scheduling in Cloud Computing Environment: Meta Heuristic Approaches
Optimization of Resource Scheduling Based On Genetic Algorithm in Cloud Computing Environment
Various Job Scheduling Algorithms in Cloud Computing: A Survey
Downloaded form http://iranpaper.ir
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The PF scheduler is designed to take advantage of multiuser
Surplus Fair Scheduling: A Proportional-Share CPU Scheduling Algorithm for
Surplus Fair Scheduling: A Proportional-Share CPU Scheduling Algorithm for
Surplus F air S c heduling: A P r opor ti onal-Share C PU Sc heduling A lgorithm for
Ab st ract par ty w eb sites typically do so by m apping m u ltiple w eb
and d epar tur es o f thr eads. T o o v er com e this d r a w b ack, ate b andw idth allocation that is an analogue of G P S in
O u r s ur plus f air scheduling algor ithm h as the follo w ing thr eads/pr ocesses u sing S F S . E ach thr ead in the s ystem
3. 2 I mpl e ment at i o n Compl e x i t y a nd Opt i mi za- S ince the scheduling o v er h ead of S F S g r o w s w ith the
Efficacy of scheduling heuristic
Ab st ract par ty w eb sites typically do so by m apping m u ltiple w eb
and d epar tur es o f thr eads. T o o v er com e this d r a w b ack, ate b andw idth allocation that is an analogue of G P S in
O u r sur plus f air scheduling alg or ithm h as the follo w ing thr eads/pr ocesses u sing S F S . E ach thr ead in the system
3. 2 I mpl e ment at i o n Compl e x i t y a nd Opt i mi za- S ince the scheduling o v er h ead of S F S g r o w s w ith th e
Efficacy of scheduling heuristic
A key feature of our algorithm is that it does
MCDRR Packet Scheduling Algorithm
FutureGenerationComputerSystems29(2013)158–169
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation
T. Wang et al.: Rethinking the Data Center Networking
T. Wang et al.: Rethinking the Data Center Networking
Electrical Power and Energy Systems 57 (2014) 73–78
Electrical Power and Energy Systems 57 (2014) 73–78
Cloud Database Management System is a new emerging concept recently
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Computers & Industrial Engineering 85 (2015) 206–215
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J Sched (2015) 18:275–284
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
The main goals of graphical modelling and data visualization are to communicate information clearly
SPECIALSECTIONONBIGDATASERVICESANDCOMPUTATIONALINTELLIGENCE
2 Schematic methods for scheduling problem Scheduling problems belong to
Int. J. Production Economics 162 (2015) 258–272
Expert Systems with Applications 38 (2011) 2817–2822
Int. J. Embedded Systems, Vol. X, No. Y, 200x 1
2017 11th International Conference on Intelligent Systems and
Journal of Information & Computational Science 9: 13 (2012) 3821–3829
Improved PSO-based Task Scheduling Algorithm in
Abstract-Under the environment of smart grid, residential
Abstract-Under the environment of smart grid, residential
A Novel Model for Home Energy Management System Based on Internet of Things
Journal of Network and Computer Applications 68 (2016) 173–200
Construction scheduling problems Construction scheduling is concerned with optimally sequencing
Construction scheduling problems Construction scheduling is concerned with optimally sequencing
July 22, 2013 11:41 WSPC/118-IJUFKS S0218488513400011
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ARTICLE IN PRESS
ARTICLE IN PRESS
(IJACSA) International Journal of Advanced Computer Science and Applications,
Computers & Operations Research 77 (2017) 86–95
people in the pervasive environment can concentrate on their working
people in the pervasive environment can concentrate on their working
International Journal of Grid and Distributed Computing
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Information technologies
Chapter 1
682 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 3, MARCH 2014
J. Parallel Distrib. Comput. 68 (2008) 399–409
Journal of Parallel and Distributed Computing 62, 1338–1361 (2002)
Applied Soft Computing 11 (2011) 2725–2734
682 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 3, MARCH 2014
Applied Soft Computing 24 (2014) 432–446
The Journal of Systems and Software 135 (2018) 126–142
JID:JAL AID:444 /FLA [m3L; v1.195; Prn:6/01/2017; 14:05] P.1(1-12)
J. Parallel Distrib. Comput. 68 (2008) 399–409
Journal of Parallel and Distributed Computing 62, 1338–1361 (2002)
Applied Soft Computing 11 (2011) 2725–2734
JID:JAL AID:444 /FLA [m3L; v1.195; Prn:6/01/2017; 14:05] P.1(1-12)
682 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 3, MARCH 2014
Applied Soft Computing 24 (2014) 432–446
The Journal of Systems and Software 135 (2018) 126–142
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPWRS.2017.2694424, IEEE
Applied Energy 146 (2015) 122–134
Grouped tasks scheduling algorithm based on QoS in cloud computing
Accepted Manuscript
Accepted Manuscript
ARTICLE IN PRESS
Computers & Industrial Engineering 112 (2017) 537–550
Improved version of imperialist competitive algorithm Maintenance activities have been
1 Background of production scheduling Thirst for increased productivity in
Journal of Network and Computer Applications 87 (2017) 100–115
Journal of Network and Computer Applications 87 (2017) 100–115
Engineering Applications of Artificial Intelligence 74 (2018) 54–69
Computers & Industrial Engineering 120 (2018) 206–215
Due to different viewpoints, procedures, limitations, and objectives, the scheduling problem of distributed energy resources (DERs) is a very important issue in power systems. This problem can be solved
International Journal of Production Research
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Planning and Scheduling Highway Construction
Planning and Scheduling Highway Construction
Input:
Source Ports Ports reachable Ports reachable
ﬁlling the circuit switch schedule, a recovery technique from Table 4
Received September 1, 2017, accepted October 8, 2017, date of publication October 11, 2017, date of current version February 1, 2018.
SPECIALSECTIONONINTELLIGENTSYSTEMSFORTHEINTERNETOFTHINGS
FutureGenerationComputerSystems34(2014)47–65
A Systematic Analysis of Task Scheduling
Task scheduling techniques in cloud computing: A literature survey
An integrated tool for optimal energy scheduling and powerqualityimprovement of
An integrated tool for optimal energy scheduling and powerqualityimprovement of a microgrid under multiple demand responseschemes
Journal of Network and Computer Applications 207 (2022) 103478
Received December 4, 2021, accepted February 4, 2022, date of publication February 9, 2022, date of current version February 17, 2022.