1 Abstract—This paper describes several challenges facing programmers of future edge computing systems, the complex and diverse multi-and many-core devices that will soon exemplify commodity mainstream systems. To call attention to programming challenges ahead, this paper focuses on the most complex of such architectures: integrated, power-conserving systems, inherently parallel and heterogeneo...

Heron is a platform for object-oriented distributed computing in an open systems environment. We try to achieve a degree of distribution transparency previously known only from special distributed programming systems, while at the same time accommodating heterogeneous, autonomous computer systems. Distributed programs are written in Eiiel. The Eiiel language system is not modiied; Heron employs...

Highly dynamic and heterogeneous distributed systems are challenging today’s middleware technologies. Existing middleware paradigms are unable to deliver on their most central promise, which is offering interoperability. In this paper, we argue for the need to dynamically synthesise distributed system infrastructures according to the current operating environment, thereby generating “Emergent M...

Mobile computing environments are characterised by change: heterogeneous end-systems have to operate over underlying communications whose quality of service (QoS) and associated cost may be subject to rapid and massive fluctuations. Such changes present new challenges for all distributed system services and in particular for distributed systems platforms. This paper explores the impact of mobil...

In many enterprises the presence of heterogeneous legacy information systems is pervasive, nevertheless the different component organizations need to cooperate in order to offer new services. The Distributed Object Computing is a valid approach for the definition of a cooperative model among heterogeneous legacy information systems, but few methodologies and architectures explicitly address the...

In recent years multi-agent systems have demonstrated the power to handle complex real-time scheduling problems. They have also been used to integrate distributed information to provide access to heterogeneous data sources. Combining these two approaches to produce a multi-agent system that can use distributed heterogeneous data for real-time scheduling is a challenging problem. In this paper w...