China Railway consists of eighteen regional bureaus, geographically distributed across China, with each regional bureau having their own regional Data Center. Physically distributed and managed at a regional level, the information system of China Railway is a highly complex distributed mission critical system, integrated in networks but largely isolated in term of system resources with applicat...

A common programming model in distributed and grid computing is the client/server paradigm, where the client submits requests to several geographically remote servers for executing already deployed applications on its own data. In this context it is mandatory to avoid unnecessary data transfer because the data set can be very large. This work addresses the problem of implementing a strategy for...

Grid is a system that coordinates resources that are not subject to centralized control and provides environment for secure resource sharing through geographically distributed networks. Grid system lacks the autonomy and flexible behaviour. Mobile agents are autonomous programs that live and roam in the distributed environment, sense and act in the environment to achieve the goal. We propose a ...

One of the key requirements of eXtreme Programming (XP) is strong and effective communication between the team members. To enable this strong level of communication among team members, XP emphasizes the need to have the team members physically located close to each other. However, for various reasons, that may not be feasible. To address these situations, we propose a crosscutting idea called “...

The conditional posterior Cramér-Rao lower bound (PCRLB) is an effective sensor resource management criteria for large, geographically distributed sensor networks. Existing algorithms for distributed computation of the PCRLB (dPCRLB) are based on raw observations leading to significant communication overhead to the estimation mechanism. This letter derives distributed computational techniques f...

Trust is one of the key factors that determines success or failure of any software project. However, achieving and maintaining trust in distributed software projects, when team members are geographically, temporally and culturally distant from each other, is a remarkable challenge. This paper explores the dynamics of trust and best practices performed in software organizations to address trust-...

The next generation Internet will contain a multitude of geographically distributed, connected devices continuously generating data streams, and will require new data processing architectures that can handle the challenges of heterogeneity, distribution, latency and bandwidth. Stream query processing is natural technology for use in IOT applications, and embedding such processing in the network...

This thesis motivates and develops a robust distributed Software Transactional Memory (STM) library for Haskell. Many real-life applications are distributed by nature. They either control geographically wide spread hardware resources or utilize redundant hardware components to minimize system failure. STM is an abstraction for synchronizing shared resources in concurrent applications. It helps ...

Data Grid mostly deals with large computational problems and provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. In a modern scientific computing communities, the scientists involves in managing massive amounts of a very large data collections in a geographically distributed environment. Research in the area of grid computing h...

Text collections have traditionally been located at a single site and managed as a monolithic whole. However, it is now common for a collection to be spread over several hosts and for these hosts to be geographically separated. In this paper we examine several alternative approaches to distributed text retrieval. We report on our experience with a full implementation of these methods, and give ...