Submit Search
Upload
IRJET- An Energy-Saving Task Scheduling Strategy based on Vacation Queuing & Optimization of Resources in Cloud
•
0 likes
•
13 views
IRJET Journal
Follow
https://www.irjet.net/archives/V6/i4/IRJET-V6I4274.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 4
Download now
Download to read offline
Recommended
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
ijujournal
IRJET- Time and Resource Efficient Task Scheduling in Cloud Computing Environ...
IRJET- Time and Resource Efficient Task Scheduling in Cloud Computing Environ...
IRJET Journal
Optimization of energy consumption in cloud computing datacenters
Optimization of energy consumption in cloud computing datacenters
IJECEIAES
IRJET- A Statistical Approach Towards Energy Saving in Cloud Computing
IRJET- A Statistical Approach Towards Energy Saving in Cloud Computing
IRJET Journal
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
ijdpsjournal
An Approach to Reduce Energy Consumption in Cloud data centers using Harmony ...
An Approach to Reduce Energy Consumption in Cloud data centers using Harmony ...
ijccsa
Hybrid Task Scheduling Approach using Gravitational and ACO Search Algorithm
Hybrid Task Scheduling Approach using Gravitational and ACO Search Algorithm
IRJET Journal
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...
IJECEIAES
Recommended
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
ijujournal
IRJET- Time and Resource Efficient Task Scheduling in Cloud Computing Environ...
IRJET- Time and Resource Efficient Task Scheduling in Cloud Computing Environ...
IRJET Journal
Optimization of energy consumption in cloud computing datacenters
Optimization of energy consumption in cloud computing datacenters
IJECEIAES
IRJET- A Statistical Approach Towards Energy Saving in Cloud Computing
IRJET- A Statistical Approach Towards Energy Saving in Cloud Computing
IRJET Journal
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
ijdpsjournal
An Approach to Reduce Energy Consumption in Cloud data centers using Harmony ...
An Approach to Reduce Energy Consumption in Cloud data centers using Harmony ...
ijccsa
Hybrid Task Scheduling Approach using Gravitational and ACO Search Algorithm
Hybrid Task Scheduling Approach using Gravitational and ACO Search Algorithm
IRJET Journal
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...
IJECEIAES
Load Balancing in Cloud Computing Through Virtual Machine Placement
Load Balancing in Cloud Computing Through Virtual Machine Placement
IRJET Journal
Energy Efficient Change Management in a Cloud Computing Environment
Energy Efficient Change Management in a Cloud Computing Environment
IRJET Journal
A survey on energy efficient with task consolidation in the virtualized cloud...
A survey on energy efficient with task consolidation in the virtualized cloud...
eSAT Journals
A survey on energy efficient with task consolidation in the virtualized cloud...
A survey on energy efficient with task consolidation in the virtualized cloud...
eSAT Publishing House
Energy efficient task scheduling algorithms for cloud data centers
Energy efficient task scheduling algorithms for cloud data centers
eSAT Journals
Energy efficient task scheduling algorithms for cloud data centers
Energy efficient task scheduling algorithms for cloud data centers
eSAT Publishing House
Survey: An Optimized Energy Consumption of Resources in Cloud Data Centers
Survey: An Optimized Energy Consumption of Resources in Cloud Data Centers
IJCSIS Research Publications
Fault tolerance on cloud computing
Fault tolerance on cloud computing
www.pixelsolutionbd.com
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
ijcax
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
ijcax
Application of selective algorithm for effective resource provisioning in clo...
Application of selective algorithm for effective resource provisioning in clo...
ijccsa
Energy-Efficient Task Scheduling in Cloud Environment
Energy-Efficient Task Scheduling in Cloud Environment
IRJET Journal
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
ijujournal
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
ijujournal
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
ijujournal
IRJET - Efficient Load Balancing in a Distributed Environment
IRJET - Efficient Load Balancing in a Distributed Environment
IRJET Journal
Intelligent Workload Management in Virtualized Cloud Environment
Intelligent Workload Management in Virtualized Cloud Environment
IJTET Journal
LOAD BALANCING IN CLOUD COMPUTING
LOAD BALANCING IN CLOUD COMPUTING
IRJET Journal
IRJET- Enhance Dynamic Heterogeneous Shortest Job first (DHSJF): A Task Schedu...
IRJET- Enhance Dynamic Heterogeneous Shortest Job first (DHSJF): A Task Schedu...
IRJET Journal
D04573033
D04573033
IOSR-JEN
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
ijdpsjournal
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
ijdpsjournal
More Related Content
What's hot
Load Balancing in Cloud Computing Through Virtual Machine Placement
Load Balancing in Cloud Computing Through Virtual Machine Placement
IRJET Journal
Energy Efficient Change Management in a Cloud Computing Environment
Energy Efficient Change Management in a Cloud Computing Environment
IRJET Journal
A survey on energy efficient with task consolidation in the virtualized cloud...
A survey on energy efficient with task consolidation in the virtualized cloud...
eSAT Journals
A survey on energy efficient with task consolidation in the virtualized cloud...
A survey on energy efficient with task consolidation in the virtualized cloud...
eSAT Publishing House
Energy efficient task scheduling algorithms for cloud data centers
Energy efficient task scheduling algorithms for cloud data centers
eSAT Journals
Energy efficient task scheduling algorithms for cloud data centers
Energy efficient task scheduling algorithms for cloud data centers
eSAT Publishing House
Survey: An Optimized Energy Consumption of Resources in Cloud Data Centers
Survey: An Optimized Energy Consumption of Resources in Cloud Data Centers
IJCSIS Research Publications
Fault tolerance on cloud computing
Fault tolerance on cloud computing
www.pixelsolutionbd.com
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
ijcax
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
ijcax
Application of selective algorithm for effective resource provisioning in clo...
Application of selective algorithm for effective resource provisioning in clo...
ijccsa
What's hot
(11)
Load Balancing in Cloud Computing Through Virtual Machine Placement
Load Balancing in Cloud Computing Through Virtual Machine Placement
Energy Efficient Change Management in a Cloud Computing Environment
Energy Efficient Change Management in a Cloud Computing Environment
A survey on energy efficient with task consolidation in the virtualized cloud...
A survey on energy efficient with task consolidation in the virtualized cloud...
A survey on energy efficient with task consolidation in the virtualized cloud...
A survey on energy efficient with task consolidation in the virtualized cloud...
Energy efficient task scheduling algorithms for cloud data centers
Energy efficient task scheduling algorithms for cloud data centers
Energy efficient task scheduling algorithms for cloud data centers
Energy efficient task scheduling algorithms for cloud data centers
Survey: An Optimized Energy Consumption of Resources in Cloud Data Centers
Survey: An Optimized Energy Consumption of Resources in Cloud Data Centers
Fault tolerance on cloud computing
Fault tolerance on cloud computing
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
IMPROVING REAL TIME TASK AND HARNESSING ENERGY USING CSBTS IN VIRTUALIZED CLOUD
Application of selective algorithm for effective resource provisioning in clo...
Application of selective algorithm for effective resource provisioning in clo...
Similar to IRJET- An Energy-Saving Task Scheduling Strategy based on Vacation Queuing & Optimization of Resources in Cloud
Energy-Efficient Task Scheduling in Cloud Environment
Energy-Efficient Task Scheduling in Cloud Environment
IRJET Journal
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
ijujournal
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
ijujournal
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
ijujournal
IRJET - Efficient Load Balancing in a Distributed Environment
IRJET - Efficient Load Balancing in a Distributed Environment
IRJET Journal
Intelligent Workload Management in Virtualized Cloud Environment
Intelligent Workload Management in Virtualized Cloud Environment
IJTET Journal
LOAD BALANCING IN CLOUD COMPUTING
LOAD BALANCING IN CLOUD COMPUTING
IRJET Journal
IRJET- Enhance Dynamic Heterogeneous Shortest Job first (DHSJF): A Task Schedu...
IRJET- Enhance Dynamic Heterogeneous Shortest Job first (DHSJF): A Task Schedu...
IRJET Journal
D04573033
D04573033
IOSR-JEN
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
ijdpsjournal
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
ijdpsjournal
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
ijdpsjournal
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
Nexgen Technology
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
Nexgen Technology
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
Shakas Technologies
A Prolific Scheme for Load Balancing Relying on Task Completion Time
A Prolific Scheme for Load Balancing Relying on Task Completion Time
IJECEIAES
IRJET- Advance Approach for Load Balancing in Cloud Computing using (HMSO) Hy...
IRJET- Advance Approach for Load Balancing in Cloud Computing using (HMSO) Hy...
IRJET Journal
A survey paper on an improved scheduling algorithm for task offloading on cloud
A survey paper on an improved scheduling algorithm for task offloading on cloud
Aditya Tornekar
Public Cloud Partition Using Load Status Evaluation and Cloud Division Rules
Public Cloud Partition Using Load Status Evaluation and Cloud Division Rules
IJSRD
PERFORMANCE FACTORS OF CLOUD COMPUTING DATA CENTERS USING [(M/G/1) : (∞/GDM O...
PERFORMANCE FACTORS OF CLOUD COMPUTING DATA CENTERS USING [(M/G/1) : (∞/GDM O...
ijgca
Similar to IRJET- An Energy-Saving Task Scheduling Strategy based on Vacation Queuing & Optimization of Resources in Cloud
(20)
Energy-Efficient Task Scheduling in Cloud Environment
Energy-Efficient Task Scheduling in Cloud Environment
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
A Review on Scheduling in Cloud Computing
IRJET - Efficient Load Balancing in a Distributed Environment
IRJET - Efficient Load Balancing in a Distributed Environment
Intelligent Workload Management in Virtualized Cloud Environment
Intelligent Workload Management in Virtualized Cloud Environment
LOAD BALANCING IN CLOUD COMPUTING
LOAD BALANCING IN CLOUD COMPUTING
IRJET- Enhance Dynamic Heterogeneous Shortest Job first (DHSJF): A Task Schedu...
IRJET- Enhance Dynamic Heterogeneous Shortest Job first (DHSJF): A Task Schedu...
D04573033
D04573033
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
REAL-TIME ADAPTIVE ENERGY-SCHEDULING ALGORITHM FOR VIRTUALIZED CLOUD COMPUTING
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
A Prolific Scheme for Load Balancing Relying on Task Completion Time
A Prolific Scheme for Load Balancing Relying on Task Completion Time
IRJET- Advance Approach for Load Balancing in Cloud Computing using (HMSO) Hy...
IRJET- Advance Approach for Load Balancing in Cloud Computing using (HMSO) Hy...
A survey paper on an improved scheduling algorithm for task offloading on cloud
A survey paper on an improved scheduling algorithm for task offloading on cloud
Public Cloud Partition Using Load Status Evaluation and Cloud Division Rules
Public Cloud Partition Using Load Status Evaluation and Cloud Division Rules
PERFORMANCE FACTORS OF CLOUD COMPUTING DATA CENTERS USING [(M/G/1) : (∞/GDM O...
PERFORMANCE FACTORS OF CLOUD COMPUTING DATA CENTERS USING [(M/G/1) : (∞/GDM O...
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCL
DeelipZope
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
Suhani Kapoor
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
DeepakSakkari2
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
wendy cai
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
ranjana rawat
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
upamatechverse
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
rakeshbaidya232001
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Suhani Kapoor
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
upamatechverse
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
soniya singh
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
hassan khalil
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Call Girls in Nagpur High Profile
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Suman Mia
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
upamatechverse
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Anamika Sarkar
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
KurinjimalarL3
Recently uploaded
(20)
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCL
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
IRJET- An Energy-Saving Task Scheduling Strategy based on Vacation Queuing & Optimization of Resources in Cloud
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1278 An Energy-Saving Task Scheduling Strategy based on Vacation Queuing & Optimization of Resources in Cloud Chanpreet Kaur1, Er. Simarjit Kaur2 1Student, BGIET, Sangrur 2Professor, BGIET, Sangrur ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Energy consumption in cloud computing systems has been the major concern. One of the most important tasks in cloud computing is the optimization of energy utilization and have a resultant green cloud computing. There are number of techniques as well asalgorithmsusedtominimalize the energy consumption in the cloud. Techniques comprise DVFS, VM Migration and VM Consolidation. Algorithms are Maximum Bin Packing, Power Expand Min-Max and Minimization Migrations, Highest Potential growth, Random Choice. The main aim is to optimize cloud’s energy utilization. This paper offers resource allocation technique that maximizes the efficiency of the system. Here, we offer two energy-conscious task consolidation heuristics that target to maximize the resource utilization and then explicitlytake into consideration both idle and active energy consumption. This paper presents the proposed model for Vacation queuing and Cloud Task Scheduling. This approach has allowed us to advance the quality of the service by decreasing the energy consumption, the reduced processing time and more of sleeping nodes that are helpful for increase in the resting time and makes the system much more efficient. Key Words: Resource allocation, Data Center independent task scheduling, vacation queuing, Load Balancer,Sojourntime,ACP(AverageComputingPower) 1. INTRODUCTION Cloud computing could be defined as the technique for providing pay-as-you-use type services and access to some shared resources over a network based on the consumer request with a minimum management risk”. The shared resources comprise of the servers, applications, storage, software, networks etc. all these resources can be configurable on the user demand. Most of the individual IT Companies and business enterprisers are opting for the cloud so as to share the business information. Existing cloud service provider are Amazon, Microsoft’s Windows Azure, Google and IBM. The prime expectation of the cloud service consumer is to have a fast, reliable, and the availableservice. Cloud computing have been typically classified into two types such as the types of services offered as well as the location of the cloud. The services are classified as Infrastructure as a service (IaaS), Platform as a service (PaaS), and Software as a service (SaaS). Dependent on the location, cloud computing could be classified into four types like public cloud, hybrid cloud, private cloud and the community cloud. High energy consumptionisleddueto the various electrical equipment, the IT infrastructures, and the randomness jobs would be presented on the computing nodes. In order to handle the random nature of the tasks, computing nodes would be in power on all the time because the jobs would be incoming in any of the time forprocessing, that leads to the high energy produced. This thesis proposes the model for the Could Task Scheduling dependent on the Vacation Queuing. This has permitted to improve the quality of service by minimizing the energy consumption, the reduced processing time and more number of the sleeping nodes that are helpful in increasing the resting timeof a systemandmakesthesystem much more efficient. Based upon the different properties of the user tasks, the load balancer would be used in the proposed method that will take the user tasks and assign to the server side the computing nodes dependent on the tasks properties. The server sides nodes are also divided into the two parts the heavy and small nodes. The simulation results illustrate that the proposed algorithm could reduce the energy consumption of the cloud computing system efficiently while meeting with the task performance. Fig-1: Cloud Computing 2. LITERATURE SURVEY One of the task in order to reduce the energyconsumptionin the cloud system has tend to consolidate the VM in PM, that is, concentrating on the workload in a fewest possible PM. Hence, the energy consumption would be reduced. The drawback is that the performancesystemcanbeharmedand for this reason, working is done on the allocation resources. To explain it is, distributing VM through a system as efficiently as it is possible. Resource management has been
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1279 the core function of any system and affects the three main principles for the evaluation of a system: cost, functionality, and performance. Some inefficient resource management has the direct undesirable effect on the performance as well as the cost and an unintended effect on the functionality of the given system. Resource-allocation studies show the techniques in order to monitoring the availability system and performance. On the otherhand,theproposetechniques for control of the energy consumption in the cloud systems through resource management. Referringtoperformance as well as the availability system, they make use of the centralized model of a system, where there is the central entity, that knows the system state every time. The drawback of these techniques has beenthattheknowing ofa system state is mandatory to make some decision. Whereas, this fact also implies to the decision-making that takes place more slowly, and as a result the internal communication network becomes slow. Moreover, it is not taken into consideration the energy consumption in the decision- making. 3. APPROACH In order to solve the above problem, the advantage of the vacation queuing model is taken in order to analyse the energy consumption of the cloud computing system, and present the task scheduling algorithm dependent on the similar tasks. The main contributions include: a) First attempt is done to apply an exhaustive service, the vacation queuing theory to the model of the cloud computing system; in augmentation to this, considering the various states of the compute node, the energy consumption characteristics, and the latency duringthe state transition of the cloud computing system that is heterogeneous in nature, improvements in the vacation queuing theory by addition of idle period when no tasks arrive at the compute node, the node goes through the period of some idle time despite of enteringthevacation at once so as to avoid frequent switches amidst the different states. b) Analyzation of the expectations of task, sojourn time, and the energy consumption of the cloud computing system dependent on the busy period and cycle under a steady state. Dependent on the analysis of partial derivatives of the energy consumption with relation to the variance of service time and idle time, it can be observed that energy can be saved by reduction in the variance of the service time with the scheduling tasks. c) Based on the analysis, it is proposed that a task scheduling algorithm should be based on the similar tasks in order to optimize the energy consumption, and evaluate performance of the proposed algorithm through all the simulations. 4. RESEARCH METHODOLOGY Researching the scheduling algorithms and selectingone that is appropriate for the current cloud environment. a) Implementing the enhanced energy saving task scheduling algorithm with hybrid load balancer. b) Testing the system using different quality metrics. c) Presenting the results. In this paper, we have tried to develop the better task scheduling for cloud computing. Firstly, we worked on researching the best scheduling policyincloudandfound that load-balanced Vacation Queuing method would be best as the VQ has very low energy consumption compared to many otheralgorithmslikemin-minetc.and the load balancing strategy aids in the average load over each node in the cloud therefore preventing some extra sojourn time. So, we have proposed a new load balancing shared with the algorithm. 5. NEED OF NEW SYSTEM In the task scheduling algorithm, the tasks have been assigned to various compute nodes. There is a concept of the power consumption during the changing of the state and the concept of similar task says that these tasks can be scheduled alongside. This has been the poor concept as it has a few disadvantages. Firstly, in case the low energy tasks are assigned to low power systems there would be a cluttering as the tasks would fill up all the smaller nodes. Secondlydisadvantageis,ifthelowenergy tasks gets assigned to the high energy consumption nodes, then there would be more of the power consumption, that is a poor methodincloudcomputingin order to process the number of tasks on the server side. To cope up with the situation, it is suggested to make improvements by adding the load balancer and the task scheduling strategy correction that can equally load server sides nodes in order to communicate with the processing tasks according to their needs. 6. RESULTS Fig- 2: Cloud Task Scheduling based on Vacation Queuing
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1280 The figure 1 shows the GUI having options like: simulate vacation queuing, simulate our method, plot energy consumption graph, plot total processing time graph and plot sleeping nodes per roundwhichareusedtosimulate the method. Fig-3: Simulation of the Vacation Queuing Algorithm Fig- 4: Simulation of the Proposed Method Fig- 5: Energy Consumption with 20 simulation rounds Fig- 6: Code for Simulation Fig-7: Processing Time 7. CONCLUSIONS In this thesis, we proposed a method for the Cloud Task Scheduling dependent on the Vacation Queuing. In this proposed method the results are farbetterthantheprevious task scheduling method. Under vacation queuing method, the sojourn time is collected from waiting time in the local queue of the compute node as well as the service time of the performing tasks node. The time and power required to switch state have also been different. Each compute node does maintain the task queue. In the purposed technique on taking modification to the vacation queuing method in order to obtain the desired results in both the process optimizationandenergy efficient. In this the balance threshold can be divided inthe number of nodes to two different parametersbasedupontheirsoftware and hardware specifications. By using the energy consumed and the processing time in order to execute the tasks has been very less. These results are more promising, we know in the proposed method that energy consumption is less, reduced the processing time and the number of sleeping nodes are more that are helpful in increasing the resting time of system and makes it more efficient.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1281 8. FUTURE SCOPE For the future work, we would like to present more of the intelligent techniques in order to improve the quality of service (Qos). The research work can be stated as given below: a) One extra load balancer can be used to distribute the task over the computer nodes very effectively. b) On the computing nodes, the virtual machine can then be created and the different algorithms can be used in order to assign the tasks. The virtual machine can also be created by defining the different configurations of the computing nodes on both the larger and smaller nodes. 9. ACKNOWLEDGEMENT We are grateful for the stimulating discussions and support by Sunny Kumar. This paper is implemented under the guidance of Er. Sunny Kumar Bansal whoisDirectorofCyber Space Technologies, Bathinda. REFERENCES [1] Gamal Eldin I. Selim, Mohamed A. Elrashidy, Nawal A. El- Fishawy: An Efficient Resource Utilization Technique for Consolidation of Virtual Machines in Cloud Computing Environment. Proceedings of the 33rd National Radio Science Conference (NRSC 2016). IEEE. 2016, February. [2] Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A., Lee, G., Stoica, I. Above the clouds: A Berkeley view of cloud computing. Dept. Electrical Eng. and Comput. Sciences, University of California, Berkeley, Rep.UCB/EECS,28(13), 2009. [3] Dikaiakos, M. D., Katsaros, D., Mehra, P., Pallis, G., & Vakali, A. Cloud computing: Distributed internetcomputingforIT and scientific research. Internet Computing, IEEE, 13(5), 10-13, 2009. [4] Marinescu, D. C. Cloud computing: theory and practice. Morgan Kaufmann. USA. 2013. [5] Geronimo, G. A., Werner, J., Westphall, C. B., Westphall, C. M., & Defenti, L. Provisioning and resource allocation for green clouds. In 12th International Conference on Networks (ICN). 2013. [6] Addis, B., Ardagna, D., Panicucci, B., & Zhang, L. Autonomic management of cloud service centers with availability guarantees. In Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference [7] Gaganpreet Kaur Sehdev, Anil Kumar, “Performance Evaluation of Power Aware VM Consolidation using Live Migration”, International Journal of Computer Network and Information Security, Vol 7, No 2, pp 67- 76, Jan 2015. [8] Mueen Uddin, Azizah Abdul Rahman, “Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics”, Renewable and Sustainable Energy Reviews, Vol 16, Issue 6, pp 4078- 4094, Aug 2012. [9] Nader Nada, Abusfian Elgelany, “Green Technology, Cloud Computing and Data Centers: the Need for Integrated Energy Efficiency Framework and Effective Metric”. [10] Sukhpal Singh, Inderveer Chana, “Energy based Efficient Resource Scheduling: A Step Towards Green Computing“, International Journal of Energy, Information and Communications Vol 5, Issue 2, 2014, pp 35- 52, DOI: 10.14257/ijeic.2014.5.2.03. [11] Shailesh S Deore, Ashok Narayan Patil, “Energy-Efficient Job Scheduling andAllocationSchemeforVirtual Machines in Private Clouds”, International Journal of Applied Information Systems, Volume 5, No. 1, pp 56-60, Jan 2013. [12] Manjot Kaur, Gursheen Kaur, Prabhdeep Singh, “A Radical Energy Efficient Framework for Green Cloud”, Indian Journal of Emerging Trends and Technology in Computer Science, Volume 2, Issue 1, pp 171-175, Jan-Feb 2013. [13] Abbas Horri,MohammadSadeghMozafari,Gholamhossein Dastghaibyfard, “Novel resource allocation algorithms to performance and energy efficiency in cloud computing”, Journal of Supercomputing. [14] Altino M. Sampaio, Jorge G. Barbosa, “Towards high- available and energy-efficient virtual computing environments in the cloud”, Journal of Future Generation Computer Systems. [15] M. Y. Tan, S. G. Zeng, and W. Wang, Policy of energy optimal management for cloud computing platform with stochastic tasks, Journal of Software, vol. 23, pp. 266–278, 2012. [18] [16] S. Zikos and D. H. Karatza, Performance and energy aware cluster-level scheduling of compute-intensive jobs with unknown service times, Simulation Modeling Practiceand Theory, vol. 1, pp. 239–250, 2011. [17] L. Gong, H. X. Sun, and F. E. Waston, Performancemodeling and prediction of non-dedicatednetwork computing,IEEE Transactions on Computers, vol. 51, pp.1041–1055,2002. [20] [18] W. Wang, Z. J. Luo, and B. A. Song, Dynamic pricing based energy cost optimization in data center environment, Journal of Computers, vol. 36, pp. 600–615, 2013. [21] [19] Y. Z. Ma, The steady state theory of M/G/1 types multiple adaptive vacation queuing system, Ph. D. dissertation. [20] R. Buyya et al. "Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities." InProc. of the 10th IEEE IntI. Conf. on High Performance Computing and Communications(HPCC'08), 2008.
Download now