Abstract The Object-oriented programming language has reached the main stream application development approach after its boom in many research organizations and institutions. Many cyber informaticians would agree that, had it not been for the World Wide Web [12], the understanding of forward- error correction might never have occurred. In this paper, we verify the investigation of hash tables [12]. Our focus in... The Object-oriented programming language has reached the main stream application development approach after its boom in many research organizations and institutions. Many cyber informaticians would agree that, had it not been for the World Wide Web [12], the understanding of forward- error correction might never have occurred. In this paper, we verify the investigation of hash tables [12]. Our focus in this position paper is not on whether simulated annealing and spreadsheets can collude to achieve this objective, but rather on describing a novel methodology for the synthesis of access points (FersSeason). Read More Read Less

Abstract With the emergence of Cloud Computing, the amount of data generated in different fields such as physics, medical, social networks, etc. is growing exponentially. This increase in the volume of data and their large scale make the problem of their processing more complex. Actually, the current datasets are very different in nature, ranging from small to very large, from structured to... With the emergence of Cloud Computing, the amount of data generated in different fields such as physics, medical, social networks, etc. is growing exponentially. This increase in the volume of data and their large scale make the problem of their processing more complex. Actually, the current datasets are very different in nature, ranging from small to very large, from structured to unstructured, and from largely complete to noisy and incomplete. In addition, these datasets evolve over time, often at very rapid rates. If we consider the characteristics of these datasets, traditional data management systems are not adapted to support them. For example, Relational Database Management Systems (RDMS) manage only databases where data conforms to a schema. However, current databases contain a mix of structured and less or no structured data. Furthermore, relational systems lack support for version management that is very important in a data management system. As data management system dedicated to large-scale datasets, we consider the BlobSeer system. It is a concurrencyoptimized data management system for data-intensive distributed applications. BlobSeer is adapted for target applications that handle massive unstructured data in the context of large-scale distributed environments. It uses the concept of versioning for concurrent manipulation of large binary objects in order to exploit efficiently access to data. To reach this objective, BlobSeer uses a versioning manager to generate a new snapshot version of a BLOB every time it is written or appended by a client. But if the number of BLOBs created or the primitives (writing, appending or reading) increase and are managed by a single version manager, then we have a performance bottleneck and a version manager overload. To avoid the bottleneck of the version manager, we propose a multi-version managers, such that each version manager maintains a subset of BLOBS. Read More Read Less

Abstract Some economists viewed the internet as the vehicle to achieve perfect markets as both buyers and sellers possessed full market knowledge. The result would be a shift in the balance of power towards the customer and a reduction in the ability of suppliers to control or influence market prices. However, in reality market distortions may be still be prevalent when suppliers... Some economists viewed the internet as the vehicle to achieve perfect markets as both buyers and sellers possessed full market knowledge. The result would be a shift in the balance of power towards the customer and a reduction in the ability of suppliers to control or influence market prices. However, in reality market distortions may be still be prevalent when suppliers or controllers of resources continue to retain significant market influence. The internet has led to reinter mediation in supply chains and distribution channels. This has often resulted in costs being driven out with the elimination of intermediaries. The economic feel good factor may also influence the internet’s adoption generally in specific sectors. In addition to the way that the internet may shape and influence markets we should also consider some of the economic forecasts in terms of value and cost reduction. Read More Read Less