650 research outputs found
An Optimal Virtual Machine Placement Method in Cloud Computing Environment
Cloud computing is formally known as an Internet-centered computing technique used for computing purposes in the cloud network. It must compute on a system where an application may simultaneously run on many connected computers. Cloud computing uses computing resources to achieve the efficiency of data centres using the virtualization concept in the cloud. The load balancers consistently allocate the workloads to all the virtual machines in the cloud to avoid an overload situation. The virtualization process implements the instances from the physical state machines to fully utilize servers. Then the dynamic data centres encompass a stochastic modelling approach for resource optimization for high performance in a cloud computing environment. This paper defines the virtualization process for obtaining energy productivity in cloud data centres. The algorithm proposed involves a stochastic modelling approach in cloud data centres for resource optimization. The load balancing method is applied in the cloud data centres to obtain the appropriate efficiency
Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities
Optimization of energy consumption in future intelligent energy networks (or
Smart Grids) will be based on grid-integrated near-real-time communications
between various grid elements in generation, transmission, distribution and
loads. This paper discusses some of the challenges and opportunities of
communications research in the areas of smart grid and smart metering. In
particular, we focus on some of the key communications challenges for realizing
interoperable and future-proof smart grid/metering networks, smart grid
security and privacy, and how some of the existing networking technologies can
be applied to energy management. Finally, we also discuss the coordinated
standardization efforts in Europe to harmonize communications standards and
protocols.Comment: To be published in IEEE Communications Surveys and Tutorial
A manifesto for future generation cloud computing: research directions for the next decade
The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured significant attention of academia, industries, and government bodies. Now, it has emerged as the backbone of modern economy by offering subscription-based services anytime, anywhere following a pay-as-you-go model. This has instigated (1) shorter establishment times for start-ups, (2) creation of scalable global enterprise applications, (3) better cost-to-value associativity for scientific and high performance computing applications, and (4) different invocation/execution models for pervasive and ubiquitous applications. The recent technological developments and paradigms such as serverless computing, software-defined networking, Internet of Things, and processing at network edge are creating new opportunities for Cloud computing. However, they are also posing several new challenges and creating the need for new approaches and research strategies, as well as the re-evaluation of the models that were developed to address issues such as scalability, elasticity, reliability, security, sustainability, and application models. The proposed manifesto addresses them by identifying the major open challenges in Cloud computing, emerging trends, and impact areas. It then offers research directions for the next decade, thus helping in the realisation of Future Generation Cloud Computing
Energy-Efficient Softwarized Networks: A Survey
With the dynamic demands and stringent requirements of various applications,
networks need to be high-performance, scalable, and adaptive to changes.
Researchers and industries view network softwarization as the best enabler for
the evolution of networking to tackle current and prospective challenges.
Network softwarization must provide programmability and flexibility to network
infrastructures and allow agile management, along with higher control for
operators. While satisfying the demands and requirements of network services,
energy cannot be overlooked, considering the effects on the sustainability of
the environment and business. This paper discusses energy efficiency in modern
and future networks with three network softwarization technologies: SDN, NFV,
and NS, introduced in an energy-oriented context. With that framework in mind,
we review the literature based on network scenarios, control/MANO layers, and
energy-efficiency strategies. Following that, we compare the references
regarding approach, evaluation method, criterion, and metric attributes to
demonstrate the state-of-the-art. Last, we analyze the classified literature,
summarize lessons learned, and present ten essential concerns to open
discussions about future research opportunities on energy-efficient softwarized
networks.Comment: Accepted draft for publication in TNSM with minor updates and editin
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