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Saving energy is an important issue for cloud providers to reduce energy cost in a data center. With the increasing popularity of cloud computing, it is time to examine various energy reduction methods for which energy consumption could be…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-21 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

Cloud computing is a style of computing in which dynamically scalable and other virtualized resources are provided as a service over the Internet. The energy consumption and makespan associated with the resources allocated should be taken…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-20 Wanneng Shu , Wei Wang , Yunji Wang

Blockchain and Cloud Computing are two of the main topics related to the distributed computing paradigm, and in the last decade, they have seen exponential growth in their adoption. Cloud computing has long been established as the main…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-18 Carlos Melo , Jamilson Dantas , Paulo Pereira , Paulo Maciel

Businesses have made increasing adoption and incorporation of cloud technology into internal processes in the last decade. The cloud-based deployment provides on-demand availability without active management. More recently, the concept of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-01 Ying Mao , Yuqi Fu , Suwen Gu , Wenrui Mu , Long Cheng , Qingzhi Liu

In this paper, we introduce a unified framework for studying various cloud traffic management problems, ranging from geographical load balancing to backbone traffic engineering. We first abstract these real-world problems as a…

Networking and Internet Architecture · Computer Science 2016-02-04 Chen Feng , Hong Xu , Baochun Li

Cloud data centers face increasing pressure to reduce operational energy consumption as big data workloads continue to grow in scale and complexity. This paper presents a workload aware and energy efficient scheduling framework that…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-21 Milan Parikh , Aniket Abhishek Soni , Sneja Mitinbhai Shah , Ayush Raj Jha

The stability and performance of Cloud platforms are essential as they directly impact customers' satisfaction. Cloud service providers use Cloud monitoring tools to ensure that rendered services match the quality of service requirements…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-09 William Pourmajidi , Andriy Miranskyy , John Steinbacher , Tony Erwin , David Godwin

Recent trends of technology have explored a numerous applications of cloud services, which require a significant amount of energy. In the present scenario, most of the energy sources are limited and have a greenhouse effect on the…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-15 Sohan Kumar Pande , Sanjaya Kumar Panda , Preeti Ranjan Sahu

This chapter presents software architectures of the big data processing platforms. It will provide an in-depth knowledge on resource management techniques involved while deploying big data processing systems on cloud environment. It starts…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-01 Muhammed Tawfiqul Islam , Rajkumar Buyya

Scalability is an important characteristic of cloud computing. With scalability, cost is minimized by provisioning and releasing resources according to demand. Most of current Infrastructure as a Service (IaaS) providers deliver…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-01-13 Ashraf A. Shahin

Nowadays, while the demand for capacity continues to expand, the blossoming of Internet of Everything is bringing in a paradigm shift to new perceptions of communication networks, ushering in a plethora of totally unique services. To…

Networking and Internet Architecture · Computer Science 2023-09-19 Masoud Shokrnezhad , Tarik Taleb

Caches are an important component of modern computing systems given their significant impact on performance. In particular, caches play a key role in the cloud due to the nature of large-scale, data-intensive processing. One of the key…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-05 Jinhwan Choi , Yu Gu , Jinoh Kim

Rapid advancements in cloud based platforms providing access to quantum computing capabilities have opened up several challenges for efficient usage of these highly delicate and costly devices. Although most of the current systems use a…

Quantum Physics · Physics 2026-05-19 Abhishek Sawaika , Udaya Parampalli , Rajkumar Buyya

Nowadays cloud computing adoption as a form of hosted application and services is widespread due to decreasing costs of hardware, software, and maintenance. Cloud enables access to a shared pool of virtual resources hosted in large…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-14 Niloofar Gholipour , Ehsan Arianyan , Rajkumar Buyya

The rapid development of the mobile Internet and the Internet of Things is leading to a diversification of user devices and the emergence of new mobile applications on a regular basis. Such applications include those that are…

Computational Engineering, Finance, and Science · Computer Science 2024-08-13 Xirui Tang , Zeyu Wang , Xiaowei Cai , Honghua Su , Changsong Wei

Network Function Virtualization (NFV) takes advantage of hardware virtualization to undertake software processing for various functions, and complements the drawbacks of traditional network technology. To speed up NFV related research, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-09-22 Wutong Yang , Minxian Xu , Guozhong Li , Wenhong Tian

Providing resources to different users or applications is fundamental to cloud computing. This is a challenging problem as a cloud service provider may have insufficient resources to satisfy all user requests. Furthermore, allocating…

Multiagent Systems · Computer Science 2019-05-30 Faheem Zafari , Kin K. Leung , Don Towsley , Prithwish Basu , Ananthram Swami

Analyzing large datasets with distributed dataflow systems requires the use of clusters. Public cloud providers offer a large variety and quantity of resources that can be used for such clusters. However, picking the appropriate resources…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-28 Jonathan Will , Jonathan Bader , Lauritz Thamsen

The transformation of smart mobility is unprecedented--Autonomous, shared and electric connected vehicles, along with the urgent need to meet ambitious net-zero targets by shifting to low-carbon transport modalities result in new traffic…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-07 Zeinab Nezami , Emmanouil Chaniotakis , Evangelos Pournaras

The amount of transmitted data in computer networks is expected to grow considerably in the future, putting more and more pressure on the network infrastructures. In order to guarantee a good service, it then becomes fundamental to use the…

Networking and Internet Architecture · Computer Science 2018-05-14 Stefano D'Aronco , Pascal Frossard