Scheduling Workflow Applications on the Heterogeneous Cloud Resources
نویسندگان
چکیده
منابع مشابه
Deadline Constrained Scientific Workflow Scheduling on Dynamically Provisioned Cloud Resources
Commercial cloud computing resources are rapidly becoming the target platform on which to perform scientific computation, due to the massive leverage possible and elastic pay-as-you-go pricing model. The cloud allows researchers and institutions to only provision compute when required, and to scale seamlessly as needed. The cloud computing paradigm therefore presents a low capital, low barrier ...
متن کاملA Clustering Approach to Scientific Workflow Scheduling on the Cloud with Deadline and Cost Constraints
One of the main features of High Throughput Computing systems is the availability of high power processing resources. Cloud Computing systems can offer these features through concepts like Pay-Per-Use and Quality of Service (QoS) over the Internet. Many applications in Cloud computing are represented by workflows. Quality of Service is one of the most important challenges in the context of sche...
متن کاملOptimize Cloud Resources Framework for Workflow Scheduling By Swarm Intelligence
To completely misuse the utilizations of cloud, different difficulties should be tended to where planning is one among them. Albeit catholic research has been done on Workflow Scheduling, there are not very many edges customized for Cloud environments. For some essential standards of Cloud, for example, flexibility and heterogeneity existing work neglect to meet ideal arrangement. Hence our wor...
متن کاملTrust-Based Scheduling Strategy for Cloud Workflow Applications
Traditional researches on scheduling of cloud workflow applications were mainly focused on time and cost. However, security and reliability have become the key factors of cloud workflow scheduling. Taking time, cost, security and reliability into account, we present a trust-based scheduling strategy.We firstly formulate the cloud workflow scheduling and then propose the corresponding algorithm,...
متن کاملa clustering approach to scientific workflow scheduling on the cloud with deadline and cost constraints
one of the main features of high throughput computing systems is the availability of high power processing resources. cloud computing systems can offer these features through concepts like pay-per-use and quality of service (qos) over the internet. many applications in cloud computing are represented by workflows. quality of service is one of the most important challenges in the context of sche...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2015
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2015/v8i12/57984