Scheduling in cloud computing environment using analytic hierarchy process model

Makwe, Aditya; Kanungo, Priyesh

doi:10.1109/ic4.2015.7375723

Cited by 13 publications

(4 citation statements)

References 10 publications

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“…Cloud organizer (CC) [2] equal in size cloudlets divides and datacenter (DC). Normally pass FCFS manner because it is extremely time overwhelming as a result of cloudlets Associate in Nursing action at a time and once they reach VM .…”

Section: Figure1 Block Diagram Of Components Of Cloud Systemmentioning

confidence: 99%

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Dynamic Load Balancing In Cloud Computing using CloudSim

Maltare¹,

Prajapat²

2016

IJCA

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Load balancing is a very important part of cloud computing which makes cloud computing more efficient and ease. Load balancing provides efficient policy to several reviews within cloud computing environment. Comprehensive balancing must get immediately into accounts two tasks. Due to this reason it is easy to implement a scheduler. The reason behind for being simple is that load balancing only mandatory information is a list of nodes, Round Robin FCFS, Equal Load share, Throttled algorithms used for load balancing, Equal load share. Each algorithm has some drawback and proposed algorithm provides effectiveness of load balancing in cloud computing. It uses two data structure one is hash map and another one is list.

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Section: Figure1 Block Diagram Of Components Of Cloud Systemmentioning

confidence: 99%

“…Clouds exist in associate open world characterized by constant changes occurring autonomously and unpredictably. Throughout this context, game supposed ways in which modify in-depth analytical understanding of the service provisioning draw back [2].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Load Balancing In Cloud Computing using CloudSim

Maltare¹,

Prajapat²

2016

IJCA

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“…However, there are few methods to do this. One method is similar to the method used in the Analytic Hierarchy Process (AHP) which uses a pairwise comparison matrix to compare different criteria and calculate weights [29]. In the ELECTRE method, where alternatives are evaluated using criteria, the user provides a weight to each one increasing with its importance [27].…”

Section: Introductionmentioning

confidence: 99%

Voxel-based sensor placement for additive manufacturing applications

2021

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The manufacturing sector is experiencing a transformation to Industry 4.0. The authors are researching 3D printable sensors to measure operating conditions like wear, strain and temperature, as part of a project to develop a large-scale multi-material extrusion 3D printer to print a Gravity Separation Spiral (GSS) -a piece of mining equipment that separates minerals from slurry. This paper proposes a sensor placement methodology for placing embedded sensors in large 3D printed objects. Voxels, the 3D equivalent of 2D pixels, are used to discretise the object and an optimisation routine optimally positions the 3D printable sensors into a 3D printed object. The optimisation objectives that are used during sensor placement include the information gain from the sensor, the ability to print the sensor using a robot, and the ability to discourage sensors being placed in important structural locations by penalising these voxels. Finite element analysis is employed to measure the information gain, while the robot arm's manipulability measures the capability to print at each voxel location. The objectives are integrated using 3D kernels, which are represented by voxels shaped in the size of the sensor and different weights related to the intricate traces that need to be printed. Using a weighted objective function the best locations are chosen. A simulation environment has been devel-

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“…on-demand self service, broad network access, resource pooling, rapid elasticity and metered services. In cloud environment, user may have a number of virtualized resources [12]. To allocate these virtual resources to users manually is a cumbersome process.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Scheduling Policies in Cloud Computing Environment

Makwe¹,

Kanungo²

2016

IJCTT

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Cloud computing has created a new perception of computation with all its features and characteristics. With its profound computational capabilities, it provides a platform for solving complex computational problems. Cloud computing deals with different kinds of virtualized resources and scheduling plays a vital role in cloud computing. This paper focuses on that various scheduling policies with their features and utility. We give an elaborate idea of cloud computing and elaborate the advantages and disadvantages of various scheduling policies.

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Scheduling in cloud computing environment using analytic hierarchy process model

Cited by 13 publications

References 10 publications

Dynamic Load Balancing In Cloud Computing using CloudSim

Dynamic Load Balancing In Cloud Computing using CloudSim

Voxel-based sensor placement for additive manufacturing applications

A Survey of Scheduling Policies in Cloud Computing Environment

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