Using clouds to address grid limitations

Evoy, Giacomo V. Mc; Schulze, Bruno

doi:10.1145/1462704.1462715

Cited by 39 publications

(15 citation statements)

References 3 publications

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“…Atime_cost(e)+Cdelay(e) res(e)= Bbandwith(e) [1] time_cost(e)<TL s.t bandwith(e)>EL delay(e)<DL      [2] IV. ALGORITHM SIMULATION As a part of the cloud environment can be viewed as a special grid, we use Gridsim to simulate the local domain in a cloud, to check the operation of the algorithm in this particular grid environment.…”

Section: B Computing Resources and The Evaluation Of The Merits Of Tmentioning

confidence: 99%

“…Cloud computing (Computing Cloud), is a super computing model which is connected through the Internet, including Computing Distributed, Computing Parallel (Grid), and the grid computing (Computing) technology, or the business implementation of these concepts of computer science [1][2] . A new type of shared infrastructure, cloud computing, can be connected to a huge pool of systems, in order to provide users with a variety of storage and computing resources through the Internet.…”

Section: Introductionmentioning

confidence: 99%

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Ant Colony Optimization Computing Resource Allocation Algorithm Based on Cloud Computing Environment

Guo¹

2016

Advances in Computer Science Research

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Abstract-Ant colony algorithm is a kind of intelligent bionic algorithm. It is based on the observation of ant's food hunting in the nature ,which finds that ants always find shortest path between their nest and food source. The main principle is ants can release pheromone and percept its concentration to identify and determine the next step, and release a certain concentration of pheromone according to the path length after food source is founded. The higher the pheromone concentration of the path, the greater chances of the path is choose. With positive feedback mechanism and robustness, ant colony algorithm is widely studied and improved since put forward. As ant colony algorithm shows great advantage in solving combinatorial optimization problems. Through the simulation analysis and comparison of grid, this algorithm can meet the requirements of the cloud computing environment, and get more response time and better quality, which is more suitable for cloud environment.

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Section: B Computing Resources and The Evaluation Of The Merits Of Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ant Colony Optimization Computing Resource Allocation Algorithm Based on Cloud Computing Environment

Guo¹

2016

Advances in Computer Science Research

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“…There is no need for capacity for changes in usage or software/technology. The cloud is easily flexible, providing an inherent ability to scale computing power up and down according to usage (Armbust 2010;McEvoy & Schulze, 2008). With cloud-based software services clients do not need to worry about updating or maintaining software, or with licensing issues.…”

Section: Simpler It Infrastructure/flexibilitymentioning

confidence: 99%

Approaches to Cloud Computing in the Public Sector

Chang

Johnston²

2015

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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This chapter considers the key characteristics of cloud computing, which is defined as a scalable network infrastructure where consumers receive IT services such as software applications and data storage through the Internet on a subscription basis. It reviews what are considered to be the general benefits to client organisations of utilizing cloud supplied IT services. These include long-term cost savings, simpler client owned IT infrastructure and reduced energy consumption through utilisation of more efficient supply-side infrastructure. The chapter then focuses on the potential for use of cloud based services in Central and local government in the UK, and to what extent these are already being considered. As part of this appraisal by government, concerns have been raised over issues such as security, access, data protection and ownership, and this chapter seeks to interrogate the perceived positive and negative drivers to local government cloud utilisation using a conceptual framework and case studies of four London borough councils. It reveals that the concept of cloud computing is new and not clearly understood within UK local government. Local authorities, who face further cuts in government funding despite the wider economic recovery, welcome a cloud-based IT infrastructure which may lead to considerable savings. Yet government is institutionally conservative with a risk-adverse attitude, so local authorities are more likely to adopt a hybrid approach to the implementation of cloud computing strategies. Concerns over data security and privacy may be overcome through careful compliance with relevant laws and standards.

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“…Therefore, implementing the cloud on third-party infrastructure can optimize the payment cost. In addition, to widen the spectrum of offers and stimulate competition the same Grid services can be deployed with different computing problems [5].…”

Section: Convergence Of Grids and Cloudsmentioning

confidence: 99%

“…There are two solutions to deal with increased processing power, additional low-level services can be deployed automatically, and to deal with increased number of users, additional high-level services can be instantiated to serve the interface [5]. Firstly, solution is based on incorporating an index service to register grid services.…”

Section: Convergence Of Grids and Cloudsmentioning

confidence: 99%