With scaling of data centers, clusters, and grids, it is going to be increasingly difficult to download, configure, install, update, and manage the software stack on the constituent nodes. Automation of this process is needed for the system to scale beyond a few hundred nodes. We present system architecture for a middleware service that performs this task in an automated manner. We propose that...

This paper presents a middleware approach for self-organising distributed applications in the area of Ambient Assisted Living (AAL) as part of a home service platform. The middleware uses real time data processing techniques to identify complex events based on sensor input and service logs. This low-level and high-level information represents the platform’s context model, which forms the basis ...

The development of real-time, dependable or scalable distributed applications requires specific middleware that enables the formal verification of domain-specific properties. So far, typical middleware implementations do not directly address these issues. They focus on patterns and frameworks to meet application-specific requirements. Patterns propose a high-level methodology adapted to the des...

The cloud manufacturing system can provide consumers with on-demand services, which significantly improve the utilization rate of distributed resources and response speed personalized product needs. In platform, successful implementation various industrial applications relies on uploading streaming related field-level data. For example, realization service composition application should match t...

In distributed environments, generic middleware services(e.g. caching, location management etc.) are widely used to satisfy application needs in a cost-effective manner. Such middleware services consume system resources such as storage, computation and communication and can be sources of significant power overheads when executed on low-power devices. Our goal is to develop a distributed middlew...

In this paper, we describe a service-oriented middleware architecture for Grid environments which enables efficient datamanagement. Our design introduces concepts fromPeer-to-Peer computing in order to provide a scalable and reliable infrastructure for storage, search and retrieval of annotated content. To ensure fast file lookups in the distributed repositories, our system incorporates a multi...

This paper introduces a new lightweight middleware for pervasive environments. This middleware abstracts network communications and provides service introspection and discovery using DNS-SD (DNS-based Service Discovery [1]). Services can declare simplex or duplex communication channels and variables. The middleware supports the low-latency, highbandwidth communications required in interactive p...

This paper describes how recent advances in distributed object computing (DOC) middleware are enabling the creation of common quality-of-service (QoS) interfaces that support nextgeneration distributed applications. DOC middleware helps to simplify and coordinate applications in order to leverage the underlying network and endsystem QoS architectures more effectively. This paper also describes ...

IoT big data real-time analytics systems need to effectively process and manage massive amounts of data from streams produced by distributed data sources. There are many challenges in deploying and managing processing logic at execution time in those systems, especially when 24x7 availability is required. Aiming to address those challenges, we have developed and tested a middleware for Distribu...

Today, peer-to-peer (P2P) networks, e.g., filesharing networks like Gnutella, are specialised towards specific purposes. This shortcoming is addressed by introducing a new middleware for P2P networks which is shown in Figure 1. The middleware supports the deployment and use of services inside a P2P network. It consists of six different modules, each encapsualating the functionality required for...