This paper presents a source-side backup scheme with low-resource usage through collaborative deduplication and approximated lazy deletion when frequent virtual machine snapshot backup is required in a large-scale cloud cluster. The key ideas are to orchestrate multiround duplicate detection batches among machines in a partitioned asynchronous manner and remove most unreferenced content chunks ...

MSC+ is a generalization of hierarchical message sequence charts (hMSCs) having the capability to specify preemptive features such as watchdogs, generalized coregion and forbidden scenarios. In this paper, we shall illustrate the applications of MSC+ to the specification of reactive systems through the example of an Automatic Teller Machine (ATM). We shall bring out the additional advantage of ...

Any program, machine or person engaged in computerenabled work is a cyber agent. Can such agents be made collaborate effectively? Both empirical evidence and theory suggest that there are simple rules for designing certain problem-solving organizations, called asynchronous teams, in which collaboration is automatic and scaleeffective (adding cyber agents tends to improve solutionquality, and ad...

In this paper, an asynchronous pipeline instruction simulator, ARAS is presented. With this simulator, one can design selected instruction pipelines and check their performance. Performance measurements of the pipeline configuration are obtained by simulating the execution of benchmark programs on the machine architectures developed. Depending on the simulation results obtained by using ARAS, t...

Parallel processing is an area of growing interest to the computer science and engineering communities. This paper is an introduction to some of the concepts involved in the design and use of large-scale parallel systems. Parallel machines that are classified as SIMD (synchronous) and MIMD (asynchronous) systems, composed of a large number of microprocessors, are explored. Parallel algorithms a...

This paper is aimed to introduce IDIAP Brain Computer Interface (IBCI) research that successfully applied Ambience Intelligence (AmI) principles in designing intelligent brain-machine interactions. We proceed through IBCI applications describing how machines can decode and react to the human mental commands, cognitive and emotive states. We show how effective human-machine interaction for brain...

Scheduling of multiple parallel machines in the face of sequence dependent setups and downstream considerations is a hard problem. No single efficient algorithm is guaranteed to produce optimal results. We describe a solution for an instance of this problem, in the domain of paper manufacturing. The problem has additional job machine restrictions and fixed costs of assigning jobs to machines. W...

The recent success of machine learning has lead to advancements in robot intelligence and human-robot interaction. It is reported that robots can well understand visual scene information and describe the scenes in language using computer vision and natural language processing methods. Image Question-Answering (QA) systems can be used for human-robot interaction. However, to achieve human-level ...

With the emergence of Internet of Things (IoT), trillions of devices will soon be interconnected and provide new services. The success of IoT relies on the scalability of underlying machine-to-machine communication networks. In this paper, we propose a distributed and adaptive multichannel protocol to address the scalability issue. The proposed protocol is composed of (i) real-time estimation o...