scholarly journals Two Objectives Big Data task Scheduling using Swarm Intelligence in Cloud Computing

Author(s):  
Laouratou Diallo ◽  
Aisha-Hassan A. Hashim ◽  
Rashidah Funke Olanrewaju ◽  
Shayla Islam ◽  
Abdullah Ahmad Zarir
Author(s):  
K. Indira Suthakar ◽  
M. K. Kavitha Devi

Cloud computing is based on the concepts of distributed computing, grid computing, utility computing and virtualization. It is a virtual pool of resources which are provided to users via Internet. It gives users virtually unlimited pay-per-use computing resources without the burden of managing the underlying infrastructure. Cloud computing service providers' one of the goals is to use the resources efficiently and gain maximum profit. This leads to task scheduling as a core and challenging issue in cloud computing. This paper gives different scheduling strategies and algorithms in cloud computing.


Author(s):  
Ahmed A. Ewees ◽  
Neggaz Nabil ◽  
Rehab A. Ibrahim ◽  
Rania M. ELEraky

Author(s):  
Kiran Kumar S V N Madupu

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.


Author(s):  
Ramandeep Kaur ◽  
Navpreet Kaur

The cloud computing can be essentially expressed as aconveyance of computing condition where distinctive assets are conveyed as a support of the client or different occupants over the web. The task scheduling basically concentrates on improving the productive use of assets and henceforth decrease in task fruition time. Task scheduling is utilized to allot certain tasks to specific assets at a specific time occurrence. A wide range of systems has been exhibited to take care of the issues of scheduling of various tasks. Task scheduling enhances the productive use of asset and yields less reaction time with the goal that the execution of submitted tasks happens inside a conceivable least time. This paper talks about the investigation of need, length and due date based task scheduling calculations utilized as a part of cloud computing.


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