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Tuple Space based Mobile Middleware (TSMM) is developed to tackle emerging dynamics in underlying infrastructure. Its coordination medium, viz. tuple space model, has multiple inherent decoupled behaviors to coordinate interactions between different agents of supported applications. This paper focuses on one such decoupling quality, synchronization decoupling, by which agents are decoupled from their invoked primitives. This decoupling ability is accomplished by including reactivity in tuple space model. Reactive tuple space model also enables development of robust and flexible applications for TSMM. However, in existing TSMM, this decoupling behavior has not been fully attained, as reactions are themselves coupled with invoked primitives, leading to additional network and processing overheads. This paper proposes an improved reactive tuple space model for TSMM with enhanced decoupling behavior of reactions to achieve robustness for supported applications. Proposed tuple space model is also formally modeled and verified by notation and proof logic of UNITY model. [ABSTRACT FROM PUBLISHER]

Tuple space model is a simple and efficient data-driven coordination model, suitable for different mobile middleware platforms. A significant performance factor of this model is tuple space structure. Existing tuple space models have sequential tuple space structure, which works efficiently with tuple-producing primitives. But, tuple-reading and -consuming primitives that drive overall performance of tuple space model, generate substantial overhead with this sequential structure. In this paper, we propose an efficient tuple space structure, which is not only simple, but also improves performance and scalability of tuple space model. We have compared proposed structure with existing ones to show the improvements. Tuple space model with proposed tuple space structure not only preserves the ease of developing mobile applications, but also facilitates performance gain during their execution. [ABSTRACT FROM PUBLISHER]

Workflows have been successfully applied to express the decomposition of complex scientific applications. However the existing tools still lack adequate support to important aspects namely, decoupling the enactment engine from tasks specification, decentralizing the control of workflow activities allowing their tasks to run in distributed infrastructures, and supporting dynamic workflow reconfigurations. We present the AWARD (Autonomic Workflow Activities Reconfigurable and Dynamic) model of computation, based on Process Networks, where the workflow activities (AWA) are autonomic processes with independent control that can run in parallel on distributed infrastructures. Each AWA executes a task developed as a Java class with a generic interface allowing end-users to code their applications without low-level details. The data-driven coordination of AWA interactions is based on a shared tuple space that also enables dynamic workflow reconfiguration. For evaluation we describe experimental results of AWARD workflow executions in several application scenarios, mapped to the Amazon (Elastic Computing EC2) Cloud. [ABSTRACT FROM PUBLISHER]

In Ubiquitous Computing the systems must provide mechanisms to promote the cooperation among users through interoperability of their applications. With this motivation, this paper presents the EXEHDA-TS, which is a distributed mechanism for coordination of applications in Ubiquitous Computing. The proposed software architecture has proactive behavior and allows a dynamic control of communication costs, promoting scalability. The EXEHDA-TS was modeled as an integrated service to the EXEHDA middleware. The prototype was evaluated through case studies in the medical field, considering the challenges inherent in the PERTMED design, satisfactorily fulfilling the requirements of the focused scenarios. [ABSTRACT FROM PUBLISHER]

Tuple Space based Mobile Middleware (TSMM), with tuple space as its coordination medium, provides decoupled coordination of different agents of its supported applications over mobile, dynamic and unreliable networks, like Infrastructure Basic Service Set (iBSS). TSMM includes its own discovery and communication mechanisms to achieve robustness and flexibility in such networks. This paper suggests an approach for formalizing these discovery and communication mechanisms of TSMM, in order to appropriately analyze robustness and flexibility of TSMM in presence of underlying unreliability. Formalization is carried out using Mobile UNITY. [ABSTRACT FROM PUBLISHER]

Complex decentralized applications, developed for emerging mobile computing paradigm, need support of mobile middleware platforms to enable coordination of active components of these applications. Recent works demonstrated that tuple space model can act as coordination medium for mobile middleware platforms, which are termed as tuple space based mobile middleware. Importance of these middleware are escalating day-by-day with changing network scenario, thereby demanding a better understanding of their current and future research directions. This motivating factor drives us to present a taxonomy of architectures for tuple space based mobile middleware. Proposed taxonomy is the new of its kind and is based on distribution pattern of tuple spaces within middleware and nature of identification of these tuple spaces. Multiple existing tuple space based mobile middleware are also considered and classified according to proposed taxonomy. [ABSTRACT FROM PUBLISHER]

This paper presents the establishment of cluster computing lab at a minority serving institution that aims to provide computing resources to support undergraduate student research. We will firstly a project for building, configuring, and maintaining the cluster in the lab. The computing resources of the cluster are managed by a job distribution environment that allows the users to upload, compile, and run their jobs. The job distribution software distributes the submitted jobs to the computing nodes of the cluster. Load balancing issues are addressed. Next, we present student research activities performed on the cluster. We will present two related projects that aim to implement the Chemical Reaction Models (CRM) on the cluster using TSpace, and implement CRM on a GPU machine. Participating students were actively involved in presentation and publication of research results. [ABSTRACT FROM PUBLISHER]

In this paper, we discuss the most recent coordination extension to the PicOS-tuples environment, inspired, to a degree, by B-Threads and FACTS. We illustrate the extensions with two design patterns, highly useful in WSN computations, known as regulative superimposition and distributed detection. Those patterns are employed in a debugging protocol that retrieves snapshots of node states. We demonstrate how our new idioms can be propitious for separating concerns in WSN programming using tuples. [ABSTRACT FROM AUTHOR]