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020			_a9781032559964
040			_beng
043			_aua
082		4	_223 _a004.6782 _bREL
245	1		_aReliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures/ _cMadhusudhan H. S., Satish Kumar T, Punit Gupta, Dinesh Kumar Saini, Kashif Zia.
250			_a1th edition.
264		1	_aBoca Raton; _bCRC Press, _c2024
300			_a205 pages _bill.; _c20.cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
500			_aOne of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made the cloud so popular do not come without challenges. It is particularly challenging to decide which resources to use, even when they have the same configuration but different levels of performance because of the variable structure of the available resources. Cloud data centers can host millions of virtual machines, and where to locate these machines in the cloud is a difficult problem. Additionally, fulfilling optimization needs is a complex problem. Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures examines ways to meet these challenges. It discusses virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of cloud data centers. Placement techniques presented can provide an optimal solution to the optimization problem using multiple objectives. The book focuses on basic design principles and analysis of virtual machine placement techniques and task allocation techniques. It also looks at virtual machine placement techniques that can improve quality-of-service (QoS) in service-oriented architecture (SOA) computing. The aims of virtual machine placement include minimizing energy usage, network traffic, economical cost, maximizing performance, and maximizing resource utilization. Other highlights of the book include: Improving QoS and resource efficiency Fault-tolerant and reliable resource optimization models A reactive fault tolerance method using checkpointing restart Cost and network-aware metaheuristics. Virtual machine scheduling and placement Electricity consumption in cloud data centers Written by leading experts and researchers, this book provides insights and techniques to those dedicated to improving cloud computing and its services.
650	1	7	_2qarmk. _xCloud Computing
700	1		_aMadhusudhan, H. S. _934377
700	1		_aSatish, Kumar T. _934378
700	1		_aGupta, Punit. _934379
700	1		_aSaini, Dinesh Kumar. _934381
700	1		_aZia, Kashif. _934384
942			_2ddc _cBK
999			_c13474 _d13474