Cost-Effective Resource Provisioning for MapReduce in a Cloud
نویسندگان
چکیده
منابع مشابه
Thesis Report: Resource Utilization Provisioning in MapReduce
In this thesis report, we have a survey on state-of-the-art methods for modelling resource utilization of MapReduce applications regard to its configuration parameters. After implementation of one of the algorithms in literature, we tried to find that if CPU usage modelling of a MapReduce application can be used to predict CPU usage of another MapReduce application.
متن کاملToward Optimal Resource Provisioning for Economical and Green MapReduce Computing in the Cloud
Running MapReduce programs in the cloud introduces the important problem: how to optimize resource provisioning to minimize the financial charge or job finish time for a specific job? An important step towards this ultimate goal is modeling the cost of MapReduce program. In this chapter, we study the whole process of MapReduce processing and build 1
متن کاملOptimal Resource Provisioning for Workflows in Cloud
Cloud computing has gained significant popularity over past few years. Employing service-oriented architecture and resource virtualization technology, cloud provides the highest level of scalability for enterprise applications with variant load. This feature of cloud is the main attraction for migration of workflows to the cloud. Since each task of a workflow requires different processing power...
متن کاملA Survey on Resource Provisioning in Cloud
Cloud Computing allow the users to efficiently and dynamically provision computing resource to meet their IT needs. Companies are able to rent resources from cloud for storage and other computational purposes so that their infrastructure cost can be reduced. Further they can make use of company-wide access to applications based on pay-as-you-go model. Hence there is no need for getting licenses...
متن کاملCloud Computing for On-Demand Resource Provisioning
The recent emergence of public cloud offerings, surge computing -outsourcing tasks from an enclosed knowledge centre to a cloud supplier in times of serious loadhas become a lot of accessible to a large vary of customers. Deciding that workload to source to what cloud supplier in such a setting, however, is way from trivial The target of this call is to maximise the use of the interior knowledg...
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: IEEE Transactions on Parallel and Distributed Systems
سال: 2015
ISSN: 1045-9219
DOI: 10.1109/tpds.2014.2320498