A heuristic fault tolerant MapReduce framework for minimizing makespan in Hybrid Cloud Environment

Raju, R.; Amudhavel, J.; Pavithra, M.; Anuja, S.; Abinaya, B.

doi:10.1109/icgccee.2014.6922462

Cited by 56 publications

(25 citation statements)

References 31 publications

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“…Honeybees release chemical signals for marking food sources, marking their hive, in scenting potential hive sites, and in assembling swarms for flight. Although each hive has a particular scent, different colonies can be easily integrated during times when honey flow is heavy since the colony's odor [26] is inundated with the scent of nectar. Virgin queen bees emit a behavioral pheromone released with their feces.…”

Section: A Objective Of the Proposed Systemmentioning

confidence: 99%

A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

Baskaran

Basha

Amudhavel³

et al. 2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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Vehicular Ad-Hoc Network (VANET) [1] which is a sub-type of the mobile ad-hoc networks provides wireless communication between the vehicles and to the Road Side Units (RSU) [2]. In VANET, the communication between the vehicles is used for various purposes like safety, comfort and entertainment.We use the vehicles as the portable nodes to create the mobile network. The VANET uses all the vehicles in the nearby distance as a wireless router or node to form a network. The vehicles can dynamically come in or drop out of the network as they move. The working of the VANET depends on how the routing of data is done in the network. In the recent years, the number of accidents has been increased to a greater count. In order to eradicate this, the implementation of VANET technology is being used in various modes of transportation. Even though VANET has been proposed to be a successful network model, it has some issues to overcome. The most major issues are the connectivity and the signal fading issue. We can overcome some of the issues in VANET by using the Artificial Bee Colony Algorithm (ABC) [3]. The proposed use of the algorithm in VANET may resolve some of the issues effectively.

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Section: A Objective Of the Proposed Systemmentioning

confidence: 99%

A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

Baskaran

Basha

Amudhavel³

et al. 2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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“…It is used to find viable solutions among possible solution. RACO [1,3,7,9,17] makes use of ant colony optimization recursively. In this, tour-based partitioning technique is used to overcome the isolation of subproblems that transpire in statistical partitioning.…”

Section: Recursive Ant Colony Optimizationmentioning

confidence: 99%

“…Those nodes will share a network connection to their nearer nodes and so on. The mesh router consists of gateway transfer data to other devices like laptops, Wi-Fi, WiMax, and cellular networks [7][8][9]17] that are connected to mesh router using base station or access point. Orthodox clients [1,2,4,5] with different radio technologies can communicate with the mesh router using Ethernet interface [2,6,8,9] which is in their base station.…”

Section: Working Mechanismmentioning

confidence: 99%

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Recursive Ant Colony Optimization Routing in Wireless Mesh Network

Amudhavel¹,

Padmapriya²,

Nandhini³

et al. 2015

Advances in Intelligent Systems and Computing

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The ant colony optimization algorithm is used to find the optimal path based on the behavior of an ant while searching a food. It will communicate with other ants using the pheromone to find the best solution. In this paper, we introduce recursive ant colony optimization (RACO) in the wireless mesh network. This technique is used to subdivide a large network into smaller networks and based on the network, the shortest path is found in each subproblem, and finally it is combined to generate an optimal path for the network. In each subproblem, the iteration is performed recursively to obtain the shortest path in that subproblem. In our paper, we use recursive ant colony to reduce redundancy in connection and so the data will transfer in less time effectively. RACO is used to find best solutions more accurate than the other ant colony systems. Isolation of a subproblem is reduced in RACO.

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“…This PSO is an approach to solve the grid job scheduling [7,8,19]. In this method the particles are needed to have a sequence of job in the grid machine.…”

Section: Discrete Psomentioning

confidence: 99%

A hybrid ACO-PSO based clustering protocol in VANET

Amudhavel¹,

Kumar²,

Monica³

et al. 2015

Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering &Amp; Technology (ICARCSE

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VANET means vehicular ad-hoc network. The routing protocol ant colony optimization (ACO) is a swarm intelligence which is based on the behavior of the ant, the ACO algorithm includes the cooperation and adaption and it produces an optimal solution.ACOalgorithm depends upon the amount of pheromone deposit. The particle swarm optimization is also swarm intelligence, the PSO algorithm is population based and depends upon the movement and the intelligence of the swarm. The pheromone value is used for the decision purpose. The benefit of particle swarm optimization technique is that the particle moves always in the same direction with the same velocity and it also selects the position that is better than the previous position thus the best path is followed by each particle. In PSO the set of potential solutions evolves to approach a convenient solution for a problem. This algorithm produces Global best (Gbest) and Personal best (Pbest) solution. The benefits of the ACO and PSO protocols are combine have a hybridACO-PSOalgorithm to have an optimal solution to a multicast network and thus it helps in clustering.

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A heuristic fault tolerant MapReduce framework for minimizing makespan in Hybrid Cloud Environment

Cited by 56 publications

References 31 publications

A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

Recursive Ant Colony Optimization Routing in Wireless Mesh Network

A hybrid ACO-PSO based clustering protocol in VANET

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