Most available scheduling techniques in cloud only concentrate on one job type that can be data-intensive or computation-intensive. But, job scheduling based on one job type does not appropriate in the viewpoint of all environments, and sometimes may lead to wasting of resources on the other ...
Various strategies from the literature are examined in this research in order to give procedures for the planning and performance of Job Scheduling techniques (JST) in cloud computing. To begin, we look at and tabulate the existing JST that is linked to cloud and grid computing. The present ...
Task scheduling algorithm based on improved genetic algorithm in cloud computing environment Task scheduling and resource allocation are two core techniques in cloud computing. In order to use resource efficiently in heterogeneous environment, the paper presents an new task scheduling algorithm based on ...
Task Scheduling in Cloud Computing Using Hybrid Meta-heuristic: A Review and extensive analysis of task scheduling techniques in cloud computing using the various hybrid variants of meta-heuristic methods, like Genetic Algorithm, Tabu Search, Harmony Search, Artificial Bee Colony, Particle Swarm Optimiza...
Task scheduling is one of the essential techniques in the cloud computing environment. It is required for allocating tasks to the proper resources and optimizing the overall system performance. Particle swarm optimization (PSO) algorithm is one of the most popular scheduling algorithms, which is used...
In addition to commercial ... M Zhu,Q Wu,Z Yang - IEEE 被引量: 31发表: 2013年 A Multi-objective Cat Swarm Optimization Algorithm for Workflow Scheduling in Cloud Computing Environment As the world is progressing towards faster and more efficient computing techniques, cloud computing has emerged...
Exploring swarm intelligence optimization techniques for task scheduling in cloud computing: algorithms, performance analysis, and future prospects The advent of the cloud computing paradigm has enabled innumerable organizations to seamlessly migrate, compute, and host their applications within the clo... FS...
In this paper, we present four task scheduling algorithms, called CZSN, CDSN, CDN and CNRSN for heterogeneous multi-cloud environment. The first two algorithms are based on traditional normalization techniques, namely z-score and decimal scaling respectively which are hired from data mining. The ...
Management of cloud computing resources is critical, especially when several cloudlets are submitted simultaneously to cloud computing. Therefore, it is very important to use high efficient cloudlet scheduling techniques to guarantee efficient utilization of computing resources. This paper presents a two-pha...
Cloud computing services provide flexible computing and storage resources to process large amount of datasets. In-memory techniques keep the frequently used data into faster and more expensive storage media for improving performance of data processing services. Data prefetching aims to move data to low...