Operational Cost Optimization for Cloud Computing Data Centers Using Renewable Energy
نویسندگان
چکیده
منابع مشابه
Scheduling Energy Efficient Data Centers Using Renewable Energy
This work presents a multi-objective approach for scheduling energy consumption in data centers considering traditional and green energy data sources. This problem is addressed as a whole by simultaneously scheduling the state of the servers and the cooling devices, and by scheduling the workload of the data center, which is comprised of a set of independent tasks with due dates. Its goal is to...
متن کاملEnergy Cost and QoS based management of Data Centers Resources in Cloud Computing
Chandigarh Engineering College, Landran(Pb), India [email protected] AbstractCloud computing is the evolutionary step to transform a large part of the Information and Communication Technology industry. It is the result of the efforts to provide the opportunity to focus on hardware and software cost and the impending reduction of preservation. Cloud computing constitutes both business and an eco...
متن کاملEnergy Aware Resource Management of Cloud Data Centers
Cloud Computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. Virtualization technology forms a key concept for new cloud computing architectures. The data centers are used to provide cloud services burdening a significant...
متن کاملAn energy aware application controller for optimizing renewable energy consumption in Cloud computing data centres
Sustainable energy sources such as renewable energies are replacing dirty sources of energy in order to address the environmental challenges of the century. In order to operate data centres with renewable energies we have to mitigate their volatile and variable nature. In this paper, we present the Energy Adaptive Software Controller (EASC), a generic software controller and interface that deve...
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 Systems Journal
سال: 2016
ISSN: 1932-8184,1937-9234,2373-7816
DOI: 10.1109/jsyst.2015.2462714