AP: Hybrid Task Scheduling Algorithm for Cloud
نویسندگان
چکیده
منابع مشابه
Optimization Task Scheduling Algorithm in Cloud Computing
Since software systems play an important role in applications more than ever, the security has become one of the most important indicators of softwares.Cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. Presenting a proper scheduling method can lead to efficiency of resources by decreasing response time and costs. This rese...
متن کاملoptimization task scheduling algorithm in cloud computing
since software systems play an important role in applications more than ever, the security has become one of the most important indicators of softwares.cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. presenting a proper scheduling method can lead to efficiency of resources by decreasing response time and costs. this rese...
متن کاملTASA: A New Task Scheduling Algorithm in Cloud Computing
Cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. It merges a lot of physical resources and offers them to users as services according to service level agreement. Therefore, resource management alongside with task scheduling has direct influence on cloud networks’ performance and efficiency. Presenting a proper scheduling ...
متن کاملtasa: a new task scheduling algorithm in cloud computing
cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. it merges a lot of physical resources and offers them to users as services according to service level agreement. therefore, resource management alongside with task scheduling has direct influence on cloud networks’ performance and efficiency. presenting a proper scheduling ...
متن کاملHybrid Algorithm for Multiprocessor Task Scheduling
Multiprocessors have become powerful computing means for running real-time applications and their high performance depends greatly on parallel and distributed network environment system. Consequently, several methods have been developed to optimally tackle the multiprocessor task scheduling problem which is called NPhard problem. To address this issue, this paper presents two approaches, Modifi...
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: Revue d'Intelligence Artificielle
سال: 2020
ISSN: 0992-499X,1958-5748
DOI: 10.18280/ria.340413