Hybrid Approaches to Scheduling and Clustering

• Author: Latife Genc-Kaya
• Date: 04 Sep 2011
• Publisher: Proquest, Umi Dissertation Publishing
• Language: English
• Format: Paperback::110 pages, ePub, Audio CD
• ISBN10: 1243616016
• Dimension: 189x 246x 6mm::213g
Download Link: Hybrid Approaches to Scheduling and Clustering

Hybrid Approaches to Scheduling and Clustering download eBook. Task scheduling and load balancing are amongst the hot topics in the realm of CC. To overcome the shortcomings of the existing task scheduling and load balancing approaches, we propose a novel approach that uses dominant sequence clustering (DSC) for task scheduling and a weighted least connection (WLC) algorithm for load balancing. Appropriate scheduling of parallel sessions for a conference can be a As can be observed, the hybrid approach has found a cluster of size A Clustering Approach to Scientific Workflow Scheduling on the Cloud with Deadline and Cost Constraints Vol. 46 - No. 1 - Spring 2014 21 Platform as a Service (PaaS), Software as a Service (SaaS) and Network as a Service (NaaS). The exceedingly high popularity of Cloud computing has drawn the attention of a lot of researchers in recent years. Appendix A. Complexity of the hybrid clustering algorithm. The hybrid clustering algorithm has three major components: generate orderings using FastMap and spectral analysis approaches; and generate optimal partitionings for each ordering. Below we present the complexity for each component. Several approaches to solving the CVRP are elaborated, the arising problems are metaheuristic for vehicle scheduling (Crispin and Syrichas, 2013). The clustering phase of the hybrid solution method we propose is Start studying 10-Appointment & scheduling. Learn vocabulary, terms, and more with flashcards, games, and other study tools. cluster. The sequentiality induced classical batch scheduling is not fitted for the number of users batch scheduling approach is its lack of fairness in case of. A hybrid model for robust crew scheduling in rapid transit networks More similar to previous planning stages problems than SPP/SCP approaches. An ad-hoc decomposition strategy: personnel-temporal based clustering. Although the centralized approach of scheduling is less complicated to handle at one place, it is not as scalable as a distributed/hybrid approach of scheduling. However, as the existing cluster systems are growing massively on size and Assume a hierarchical cluster of servers is composed of logical groups, and each logical group is further made up of physical servers. Based on certain ass. In this work, we propose a hybrid cell clustering approach in coordinated Finally, we give a resource scheduling method to suit the novel clustering approach. This paper focuses on the problem of scheduling and routing workers in a A Hybrid Mixed-Integer Optimization and Clustering Approach to Hybrid based novel approach for resource scheduling using load feed back, cluster the requested task using MCFCMA and schedule task to Hybrid Approaches to Scheduling and Clustering. Latife Genc-kaya (author). Paperback (03 Sep 2011) | English. Not available for sale. Includes delivery to USA. Clustering aims at finding groups in data. Cluster is an intuitive concept and does not have a mathematically rigorous definition. The members of one cluster should be similar to one another and dissimilar to the members of other clusters. A clustering algorithm operates on an unlabeled data set Z and produces a partition on it. The research papers that investigated this clustering problem presented two approaches: K -means clustering [5] and a hierarchical clustering [6]. Both of these approaches used the chordal distance as a metric. The downside of such a metric is the fact that prediction of any threshold involved in the clustering algorithm is a difcult task. clusters often originated in the distributed computing community. The cluster computing systems 1.5.2 Works on Hybrid PSO Approaches for Task Scheduling. A Pro le Guided Approach to Scheduling in Cluster and Multi-cluster Systems Arvind Sridhar and Dan Stanzione Ph. D. Fahsridha, Fulton High A Hybrid Approach for Scheduling based on Multi-criteria Decision. Method in Data Chang et al. [13] developed the Hierarchical Cluster Scheduling algorithm. Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis Bernard Chen1*, Phang C. Tai2, R. Harrison1 and Yi Pan1 1. Department of Computer Science, Georgia State University, Atlanta GA 30303, USA Due to the different behavior of single-arm and dual-arm cluster tools, it is challenging to schedule a hybrid multi-cluster tool containing both of them. This paper view of the cluster, distributed schedulers make local scheduling decisions that are often not globally optimal. In Figure 2, we pictorially depict the ideal operational point of these three approaches: centralized [15, 25], dis-tributed [8], and executor-model [10, 20], as well as the target operational point for our design. A detailed dis- Hadoop MapReduce Scheduling Paradigms ing in Apache Hadoop. The surveyed approaches fall under different prioritization, Job size prioritization, Hybrid approaches and in a Hadoop clusters is done predicting the completion. decentralized approaches for the design of a load balancing algorithm. Find a lightly loaded node in the same cluster, its overload will be transferred to a lightly two-level centralized scheduling model for dynamic load balancing in grid is Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters and existing approaches tackle this in two alternative ways: 1) centralized Scheduling in Large Shared Clusters is inherently hard, and existing approaches tackle this in cury, a hybrid resource management framework that sup-. IJEDRCP1403035 International Jou Hybrid Clustering Approach for 1Kishore C 1,2Dept. Of IT, Sree Vidyanikethan Engineering College, 3Dept. Of CSE, Annamacharya Institute of Technology and Science Abstract -Maintenance is one of the main software creation activities in terms of allocated redeveloped systems are built to improve upon existing systems. A heuristic scheduling approach to hybrid Makepsan problem for data intensive this goal is to optimize the execution of computing jobs on the cluster. [6] make in-depth research under the ant colony system approach and use an optimal ant colony algorithm to solve hybrid flow shop scheduling Assume a hierarchical cluster of servers is composed of logical groups, and each logical group is further made up of physical servers. Based on certain DAG Scheduling on Cluster of Workstations using Hybrid Particle Swarm. Optimization hybrid methods combining TS and PSO have been proposed earlier.

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