Parallel Algorithm Models

The task scheduling is a key process in large-scale distributed systems like cloud computing infrastructures which can have much impressed on system performance. This problem is referred to as a NP-hard problem because of some reasons such as heterogeneous and dynamic features and dependencies among the requests. Here, we proposed a bi-objective method called DWSGA to obtain a proper solution for allocating the requests on resources. The purpose of this algorithm is to earn the response quickly, with some goal-oriented operations. At first, it makes a good initial population by a special way that uses a bidirectional tasks prioritization. Then the algorithm moves to get the most appropriate possible solution in a conscious manner by focus on optimizing the makespan, and considering a good distribution of workload on resources by using efficient parameters in the mentioned systems. Here, the experiments indicate that the DWSGA amends the results when the numbers of tasks are increased in application graph, in order to mentioned objectives. The results are compared with other studied algorithms.

Resource management

peeyushanand6

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PAGE: A Partition Aware Engine for Parallel Graph Computation

1crore projects

IEEE PROJECTS 2015 1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider. It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training. Dot Net DOTNET Project Domain list 2015 1. IEEE based on datamining and knowledge engineering 2. IEEE based on mobile computing 3. IEEE based on networking 4. IEEE based on Image processing 5. IEEE based on Multimedia 6. IEEE based on Network security 7. IEEE based on parallel and distributed systems Java Project Domain list 2015 1. IEEE based on datamining and knowledge engineering 2. IEEE based on mobile computing 3. IEEE based on networking 4. IEEE based on Image processing 5. IEEE based on Multimedia 6. IEEE based on Network security 7. IEEE based on parallel and distributed systems ECE IEEE Projects 2015 1. Matlab project 2. Ns2 project 3. Embedded project 4. Robotics project Eligibility Final Year students of 1. BSc (C.S) 2. BCA/B.E(C.S) 3. B.Tech IT 4. BE (C.S) 5. MSc (C.S) 6. MSc (IT) 7. MCA 8. MS (IT) 9. ME(ALL) 10. BE(ECE)(EEE)(E&I) TECHNOLOGY USED AND FOR TRAINING IN 1. DOT NET 2. C sharp 3. ASP 4. VB 5. SQL SERVER 6. JAVA 7. J2EE 8. STRINGS 9. ORACLE 10. VB dotNET 11. EMBEDDED 12. MAT LAB 13. LAB VIEW 14. Multi Sim CONTACT US 1 CRORE PROJECTS Door No: 214/215,2nd Floor, No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai, Tamin Nadu, INDIA - 600 026 Email id: 1croreprojects@gmail.com website:1croreprojects.com Phone : +91 97518 00789 / +91 72999 51536

An Improved Parallel Activity scheduling algorithm for large datasets

IJERA Editor

Parallel processing is capable of executing a large number of tasks on a multiprocessor at the same time period, and it is also one of the emerging concepts. Complex and computational problems can be resolved in an efficient way with the help of parallel processing. The parallel processing system can be divided into two categories depending on the nature of tasks such are homogenous parallel system and the heterogeneous parallel processing system. In the homogeneous environment, the number of processors required for executing different tasks is similar in capacity. In case of heterogeneous environments, tasks are allocated to various processors with different capacity and speed. The main objective of parallel processing is to optimize the execution speed and to shorten the duration of task execution with independent of environment. In this proposed work, an optimized parallel project selection method was implemented to find the optimal resource utilization and project scheduling. The execution speeds of the task increases and the overall average execution time of the task decreases by allocating different tasks to various processors with the task scheduling algorithm.

Bra a bidirectional routing abstraction for asymmetric mobile ad hoc networks...Mumbai Academisc

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BaliThorat1

Chapter 3 principles of parallel algorithm design

DenisAkbar1

DGBSA : A BATCH JOB SCHEDULINGALGORITHM WITH GA WITH REGARD TO THE THRESHOLD ...

IJCSEA Journal

In this paper , we will provide a scheduler on batch jobs with GA regard to the threshold detector. In The algorithm proposed in this paper, we will provide the batch independent jobs with a new technique ,so we can optimize the schedule them. To do this, we use a threshold detector then among the selected jobs, processing resources can process batch jobs with priority. Also hierarchy of tasks in each batch, will be determined with using DGBSA algorithm. Now , with the regard to the works done by previous ,we can provide an algorithm that by adding specific parameters to fitness function of the previous algorithms ,develop a optimum fitness function that in the proposed algorithm has been used. According to assessment done on DGBSA algorithm, in compare with the similar algorithms, it has more performance. The effective parameters that used in the proposed algorithm can reduce the total wasting time in compare with previous algorithms. Also this algorithm can improve the previous problems in batch processing with a new technique.

Use of genetic algorithm for

ijitjournal

Grid computing can involve lot of computational tasks which requires trustworthy computational nodes. Load balancing in grid computing is a technique which overall optimizes the whole process of assigning computational tasks to processing nodes. Grid computing is a form of distributed computing but different from conventional distributed computing in a manner that it tends to be heterogeneous, more loosely coupled and dispersed geographically. Optimization of this process must contains the overall maximization of resources utilization with balance load on each processing unit and also by decreasing the overall time or output. Evolutionary algorithms like genetic algorithms have studied so far for the implementation of load balancing across the grid networks. But problem with these genetic algorithm is that they are quite slow in cases where large number of tasks needs to be processed. In this paper we give a novel approach of parallel genetic algorithms for enhancing the overall performance and optimization of managing the whole process of load balancing across the grid nodes.

Aggreagate awarenessYogeeswar Reddy

TOPOLOGY AWARE LOAD BALANCING FOR GRIDS

ijgca

Load balancing functionalities are crucial for best Grid performance and utilization. Accordingly,this paper presents a new meta-scheduling method called TunSys. It is inspired from the natural phenomenon of heat propagation and thermal equilibrium. TunSys is based on a Grid polyhedron model with a spherical like structure used to ensure load balancing through a local neighborhood propagation strategy. Furthermore, experimental results compared to FCFS, DGA and HGA show encouraging results in terms of system performance and scalability and in terms of load balancing efficiency.

International Journal of Grid Computing & Applications (IJGCA)

ijgca

Service-oriented computing is a popular design methodology for large scale business computing systems. Grid computing enables the sharing of distributed computing and data resources such as processing, networking and storage capacity to create a cohesive resource environment for executing distributed applications in service-oriented computing. Grid computing represents more business-oriented orchestration of pretty homogeneous and powerful distributed computing resources to optimize the execution of time consuming process as well. Grid computing have received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational in e-Science and businesses. The objective of the journal is to serve as both the premier venue for presenting foremost research results in the area and as a forum for introducing and exploring new concepts.

J0210053057researchinventy

[IJET V2I5P18] Authors:Pooja Mangla, Dr. Sandip Kumar Goyal

IJET - International Journal of Engineering and Techniques

Cloud computing is a new computing paradigm that, just as electricity was firstly generated at home and evolved to be supplied from a few utility providers, aims to transform computing into a utility. It is a mapping strategy that efficiently equilibrates the task load into multiple computational resources in the network based on the system status to improve performance. The objective of this research paper is to show the results of Hybrid DEGA, in which GA is implemented after DE

PAGE: A PARTITION AWARE ENGINE FOR PARALLEL GRAPH COMPUTATION

Nexgen Technology

bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry Nexgen Technology Address: Nexgen Technology No :66,4th cross,Venkata nagar, Near SBI ATM, Puducherry. Email Id: praveen@nexgenproject.com. www.nexgenproject.com Mobile: 9751442511,9791938249 Telephone: 0413-2211159. NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km

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