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Cloud computing delivers value to users by facilitating their access to computing capacity in periods when their need arises. An approach is to provide both on-demand and spot services on shared servers. The former allows users to access…

Performance · Computer Science 2019-09-04 Xiaohu Wu , Francesco De Pellegrini , Guanyu Gao , Giuliano Casale

-Information Technology (IT) shaped the success of organizations, giving them a solid foundation that increases both their level of efficiency as well as productivity. The computing industry is witnessing a paradigm shift in the way…

Computers and Society · Computer Science 2012-09-28 Heru Susanto , Mohammad Nabil Almunawar , Chen Chin Kang

Motivated by modern parallel computing applications, we consider the problem of scheduling parallel-task jobs with heterogeneous resource requirements in a cluster of machines. Each job consists of a set of tasks that can be processed in…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-03 Mehrnoosh Shafiee , Javad Ghaderi

The emergence of cloud computing based on virtualization technologies brings huge opportunities to host virtual resource at low cost without the need of owning any infrastructure. Virtualization technologies enable users to acquire,…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-08 Minxian Xu , Wenhong Tian , Rajkumar Buyya

As cloud computing usage grows, cloud data centers play an increasingly important role. To maximize resource utilization, ensure service quality, and enhance system performance, it is crucial to allocate tasks and manage performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-21 Nidhika Chauhan , Navneet Kaur , Kamaljit Singh Saini , Sahil Verma , Abdulatif Alabdulatif , Ruba Abu Khurma , Maribel Garcia-Arenas , Pedro A. Castillo

Cloud computing is emerging as an important platform for business, personal and mobile computing applications. In this paper, we study a stochastic model of cloud computing, where jobs arrive according to a stochastic process and request…

Performance · Computer Science 2012-06-07 Siva Theja Maguluri , R Srikant , Lei Ying

Cloud computing is a recent paradigm based around the notion of delivery of resources via a service model over the Internet. Despite being a new paradigm of computation, cloud computing owes its origins to a number of previous paradigms.…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-06-07 Jonathan Stuart Ward , Adam Barker

In this study, a cluster-computing environment is employed as a computational platform. In order to increase the efficiency of the system, a dynamic task scheduling algorithm is proposed, which balances the load among the nodes of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-22 I. K. Savvas , M. Tahar Kechadi

Scheduling of service requests in Cloud computing has traditionally focused on the reduction of pre-service wait, generally termed as waiting time. Under certain conditions such as peak load, however, it is not always possible to give…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-21 Carlos Cardonha , Marcos D. Assunção , Marco A. S. Netto , Renato L. F. Cunha , Carlos Queiroz

Parallel processing, the core of High Performance Computing (HPC), was and still the most effective way in improving the speed of computer systems. For the past few years, the substantial developments in the computing power of processors…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-12-15 Samouriq Difrawi

For a cloud service provider, delivering optimal system performance while fulfilling Quality of Service (QoS) obligations is critical for maintaining a viably profitable business. This goal is often hard to attain given the irregular nature…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-14 Husam Suleiman , Otman Basir

Big data processing applications are becoming more and more complex. They are no more monolithic in nature but instead they are composed of decoupled analytical processes in the form of a workflow. One type of such workflow applications is…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-19 Mutaz Barika , Saurabh Garg , Andrew Chan , Rodrigo N. Calheiros

Aiming at analyzing performance in cloud computing, some unpredictable perturbations which may lead to performance downgrade are essential factors that should not be neglected. To avoid performance downgrade in cloud computing system, it is…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-30 Jiaxin Zhou , Siyi Chen , Haiyang Kuang

In recent times cloud computing has appeared as a new model for hosting and conveying services over the Internet. This model is striking to business vendors as it eradicates the requirement for users to plan in advance, and it permits the…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-04-25 Sultan Ullah , Zheng Xuefeng

This paper proposes an architectural framework for the efficient orchestration of containers in cloud environments. It centres around resource scheduling and rescheduling policies as well as autoscaling algorithms that enable the creation…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-26 Rajkumar Buyya , Maria A. Rodriguez , Adel Nadjaran Toosi , Jaeman Park

Cloud computing focuses on delivery of reliable, secure, fault-tolerant, sustainable, and scalable infrastructures for hosting Internet-based application services. These applications have different composition, configuration, and deployment…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-03-17 Rodrigo N. Calheiros , Rajiv Ranjan , Cesar A. F. De Rose , Rajkumar Buyya

Virtual machine (VM) scheduling is an important technique to efficiently operate the computing resources in a data center. Previous work has mainly focused on consolidating VMs to improve resource utilization and thus to optimize energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-04-22 Xibo Jin , Fa Zhang , Lin Wang , Songlin Hu , Biyu Zhou , Zhiyong Liu

The evolution in the design of modern parallel platforms leads to revisit the scheduling jobs on distributed heterogeneous resources. The goal of this survey is to present the main existing algorithms, to classify them based on their…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-31 Olivier Beaumont , Louis-claude Canon , Lionel Eyraud-Dubois , Giorgio Lucarelli , Loris Marchal , Clément Mommessin , Bertrand Simon , Denis Trystram

Cloud computing has given the new face to the distributed field. Two main issues are discussed in this paper, (I) the process of finding the efficient virtual machine by using the concept of load balancing algorithm. (II) Reallocation of…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-04-16 Manan D. Shah , Harshad B. Prajapati

We study the problem of executing an application represented by a precedence task graph on a parallel machine composed of standard computing cores and accelerators. Contrary to most existing approaches, we distinguish the allocation and the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-20 Marcos Amaris , Giorgio Lucarelli , Clément Mommessin , Denis Trystram
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