By a News Reporter-Staff News Editor at Computer Weekly News -- Investigators discuss new findings in Computer Systems. According to news reporting originating in Ancona, Italy, by VerticalNews journalists, research stated, "Cloud computing is a hybrid model that provides both hardware and software resources through computer networks. Data services (hardware) together with their functionalities (software) are hosted on web servers rather than on single computers connected by networks."
The news reporters obtained a quote from the research from Marche Polytechnic University, "Through a device (e.g., either a computer or a smartphone), a browser and an Internet connection, each user accesses a cloud platform and asks for specific services. For example, a user can ask for executing some applications (jobs) on the machines (hosts) of a cloud infrastructure. Therefore, it becomes significant to provide optimized job scheduling approaches suitable to balance the workload distribution among hosts of the platform. In this paper, a multi-objective mathematical formulation of the job scheduling problem in a homogeneous cloud computing platform is proposed in order to optimize the total average waiting time of the jobs, the average waiting time of the jobs in the longest working schedule (such as the makespan) and the required number of hosts. The proposed approach is based on an approximate is an element of-constraint method, tested on a set of instances and compared with the weighted sum (WS) method."
According to the news reporters, the research concluded: "The computational results highlight that our approach outperforms the WS method in terms of a number of non-dominated solutions."
For more information on this research see: An approximate epsilon-constraint method for a multi-objective job scheduling in the cloud. Future Generation Computer Systems-The International Journal of Grid Computing and Escience, 2013;29(8):1901-1908. Future Generation Computer Systems-The International Journal of Grid Computing and Escience can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands.
Our news correspondents report that additional information may be obtained by contacting L. Grandinetti, Marche Polytechnic University, Dipartimento Ingn Informaz, Ancona, AN, Italy. Additional authors for this research include O. Pisacane and M. Sheikhalishahi.
Keywords for this news article include: Italy, Ancona, Europe, Software, Computer Systems
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