Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges

Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud applications consume huge amounts of energy, contributing to high operational costs and carbon footprints to the environment. Therefore, we need Green Cloud computing solutions that can not only save energy for the environment but also reduce operational costs. This paper presents vision, challenges, and architectural elements for energy-efficient management of Cloud computing environments. We focus on the development of dynamic resource provisioning and allocation algorithms that consider the synergy between various data center infrastructures (i.e., the hardware, power units, cooling and software), and holistically work to boost data center energy efficiency and performance. In particular, this paper proposes (a) architectural principles for energy-efficient management of Clouds; (b) energy-efficient resource allocation policies and scheduling algorithms considering quality-of-service expectations, and devices power usage characteristics; and (c) a novel software technology for energy-efficient management of Clouds. We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit. The results demonstrate that Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.Comment: 12 pages, 5 figures,Proceedings of the 2010 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2010), Las Vegas, USA, July 12-15, 201

Scheduling of data-intensive workloads in a brokered virtualized environment

Providing performance predictability guarantees is increasingly important in cloud platforms, especially for data-intensive applications, for which performance depends greatly on the available rates of data transfer between the various computing/storage hosts underlying the virtualized resources assigned to the application. With the increased prevalence of brokerage services in cloud platforms, there is a need for resource management solutions that consider the brokered nature of these workloads, as well as the special demands of their intra-dependent components. In this paper, we present an offline mechanism for scheduling batches of brokered data-intensive workloads, which can be extended to an online setting. The objective of the mechanism is to decide on a packing of the workloads in a batch that minimizes the broker's incurred costs, Moreover, considering the brokered nature of such workloads, we define a payment model that provides incentives to these workloads to be scheduled as part of a batch, which we analyze theoretically. Finally, we evaluate the proposed scheduling algorithm, and exemplify the fairness of the payment model in practical settings via trace-based experiments

Economic impact of energy saving techniques in cloud server

In recent years, lot of research has been carried in the field of cloud computing and distributed systems to investigate and understand their performance. Economic impact of energy consumption is of major concern for major companies. Cloud Computing companies (Google, Yahoo, Gaikai, ONLIVE, Amazon and eBay) use large data centers which are comprised of virtual computers that are placed globally and require a lot of power cost to maintain. Demand for energy consumption is increasing day by day in IT firms. Therefore, Cloud Computing companies face challenges towards the economic impact in terms of power costs. Energy consumption is dependent upon several factors, e.g., service level agreement, virtual machine selection techniques, optimization policies, workload types etc. We address a solution for the energy saving problem by enabling dynamic voltage and frequency scaling technique for gaming data centers. The dynamic voltage and frequency scaling technique is compared against non-power aware and static threshold detection techniques. This helps service providers to meet the quality of service and quality of experience constraints by meeting service level agreements. The CloudSim platform is used for implementation of the scenario in which game traces are used as a workload for testing the technique. Selection of better techniques can help gaming servers to save energy cost and maintain a better quality of service for users placed globally. The novelty of the work provides an opportunity to investigate which technique behaves better, i.e., dynamic, static or non-power aware. The results demonstrate that less energy is consumed by implementing a dynamic voltage and frequency approach in comparison with static threshold consolidation or non-power aware technique. Therefore, more economical quality of services could be provided to the end users

PROFIT MAXIMIZATION FOR CLOUD BROKERS IN CLOUD COMPUTING

Appropriated figuring guarantees the flexible development of enlisting associations in a pay even more similarly as costs arise way. It awards clients to feasibly scale their structure and get a decent arrangement on the general expense of activity. At any rate Cloud association responsibilities can flourish if clients are content with association execution. There are two or three consumption plan cautious calculations to pass on reasonable work measures on IaaS Cloud stages, where clients can demand Virtual Machines (VMs) of various sorts, each with unequivocal expense and speed limits. We utilize a sensible application/stage model with stochastic undertaking weights, and VMs going on through a specialist farm Permitting rapid access and flexible scaling while at the same time keeping up the association leaves and offering real costs addresses a fundamental test to Cloud planning suppliers. Additionally, associations will stay accessible over the long haul if this business makes a steady income source. To address these difficulties, we present novel system based help attestation control models that target boosting the spending pay of Cloud suppliers while contemplating informative shortcoming with respect to asset necessities. The proposed assessment named Dynamic Budget Pricing Policy based Work Flow scheduling(DBPP) will improve all things considered compensation in least check time for cloud labourer farms

Strategies for Increased Energy Awareness in Cloud Federations

This chapter first identifies three scenarios that current energy aware cloud solutions cannot handle as isolated IaaS, but their federative efforts offer opportunities to be explored. These scenarios are centered around: (i) multi-datacenter cloud operator, (ii) commercial cloud federations, (iii) academic cloud federations. Based on these scenarios, we identify energy-aware scheduling policies to be applied in the management solutions of cloud federations. Among others, these policies should consider the behavior of independent administrative domains, the frequently contradicting goals of the participating clouds and federation wide energy consumption

Efficient resource Utilization in Cloud Computing Using Revised ROSP Algorithm (ERROSP)

Computing world these days is occupied by the Seventh Heaven. The most important question, it is necessary in this visualization is it to play an important role in the enterprise. Through this rapid development in the enterprise the most varieties of personal desire to save a lot of cash, time, hours and properties, which may increase in the area of electronic commerce. The cloud computing world is spreading rapidly on the Internet. Therefore, the basic definition of analysing cloud computing from around the world, often too, because it tells the calculation under application of services to assist the network and access to hardware and software running on the system may give the service. "A standardized IT capability (services, software or infrastructure) technology pay-per-use, self-service manner provided by the Internet." In the cloud of the most important research is Buckley RAD defines cloud computing as. The service itself has long been known as software as a service (SaaS). Data center hardware and software is what we call clouds. When the cloud is made available to the public in the way of a pay-as-you-go, which we call the public cloud; business being sold is utility computing. We use the term private cloud is an enterprise or other organization, not available to the general public within the data center. Therefore, SaaS, and cloud computing is the sum of utility computing, but not including private clouds. People can users or SaaS provider, or user or utility computing vendor. "Analysis goal of this paper is to find the user's needs, the best cloud service provider and cloud metaphysics programming algorithm is mainly based programming techniques. Actually speaking, cloud computing, programming side measure died in a cloud computing environment to take advantage of cloud computing provides a convenient broker execution management system to bring good prescription measurement programming techniques