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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. [ABSTRACT FROM AUTHOR]

Web-based computerized auctions are increasingly present in the Internet.We can imagine that in the future this trend will actually be extended to situations where virtual buyer and seller agents will conduct automated transactions across the network, and that large sectors of the economy may be strucured in this manner. The purpose of this article is to model automated bidders and sellers which interact through a network. We model the bidding process as a random arrival process while the price attained by a good is modeled as a discrete random variable. We obtain analytical solutions allowing us to compute the income from a single auction, or the income per unit time from a repeated sequence of auctions. A variety of single-auction models are studied, including English and Vickrey auctions, and the income per unit time is derived as a function of other parameters, including the rate of arrival of bids, the seller's decision time, the value of the good, and the "rest time" of the seller between successive auctions. We illustrate the results via numerical examples. We also introduce a model for networked auctions where bidders can circulate among a set of interconnected auctions which we call the Mobile Bidder Model (MBM). We obtain an analytical solution for the MBM under the assumption,which we call the "active bidders assumption," that activities that are internal to an auction (bids and sales) are much more frequent than changes that occur in the number of bidders at each auction. [ABSTRACT FROM AUTHOR]

Smart networks have grown out of the need for stable, reliable, and predictable networks that will guarantee packet delivery under Quality of Service (QoS) constraints. In this article we present a measurement-based admission control algorithm that helps control traffic congestion and guarantee QoS throughout the lifetime of a connection. When a new user requests to enter the network, probe packets are sent from the source to the destination to estimate the impact that the new connection will have on the QoS of both the new and the existing users. The algorithm uses a novel algebra of QoS metrics, inspired by Warshall's algorithm, to look for a path with acceptable QoS values to accommodate the new flow. We describe the underlying mathematical principles and present experimental results obtained by evaluating the method in a large laboratory test-bed operating the Cognitive Packet Network (CPN) protocol. [ABSTRACT FROM AUTHOR]