Resolving coordination challenges in distributed mobile service executions

Alcarria, Ramón; Morales, Augusto; Cedeño, Edwin

doi:10.1504/ijwgs.2014.060251

Cited by 15 publications

(4 citation statements)

References 37 publications

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“…In these solutions, information about node hardware capabilities is sent to the orchestrator and/or any component in charge of the network management. Then, when a task is delegated by high-level applications, a matchmaking process is performed by those components in order to find the nodes which provide the adequate functions (nodes) to execute the delegated task [ 13 ].…”

Section: State Of the Artmentioning

confidence: 99%

A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks

Bordel

Miguel

2018

Sensors

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Nowadays, sensor networks are composed of a great number of tiny resource-constraint nodes, whose management is increasingly more complex. In fact, although collaborative or choreographic task execution schemes are which fit in the most perfect way with the nature of sensor networks, they are rarely implemented because of the high resource consumption of these algorithms (especially if networks include many resource-constrained devices). On the contrary, hierarchical networks are usually designed, in whose cusp it is included a heavy orchestrator with a remarkable processing power, being able to implement any necessary management solution. However, although this orchestration approach solves most practical management problems of sensor networks, a great amount of the operation time is wasted while nodes request the orchestrator to address a conflict and they obtain the required instructions to operate. Therefore, in this paper it is proposed a new mechanism for self-managed and choreographed task execution in sensor networks. The proposed solution considers only a lightweight gateway instead of traditional heavy orchestrators and a hardware-supported algorithm, which consume a negligible amount of resources in sensor nodes. The gateway avoids the congestion of the entire sensor network and the hardware-supported algorithm enables a choreographed task execution scheme, so no particular node is overloaded. The performance of the proposed solution is evaluated through numerical and electronic ModelSim-based simulations.

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Section: State Of the Artmentioning

confidence: 99%

A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks

Bordel

Miguel

2018

Sensors

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“…In particular, see Figure 6 , control, communication and processing devices have to be included. Different works [ 131 ] have proved that NS3 simulator may be used in that way, being possible to simulate from huge computing systems to small wireless sensor networks or cellular communications.…”

Section: Experimental Validation: Co-simulator Development and Expmentioning

confidence: 99%

A Methodology for the Design of Application-Specific Cyber-Physical Social Sensing Co-Simulators

Bordel

Sánchez-Picot

2017

Sensors

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Cyber-Physical Social Sensing (CPSS) is a new trend in the context of pervasive sensing. In these new systems, various domains coexist in time, evolve together and influence each other. Thus, application-specific tools are necessary for specifying and validating designs and simulating systems. However, nowadays, different tools are employed to simulate each domain independently. Mainly, the cause of the lack of co-simulation instruments to simulate all domains together is the extreme difficulty of combining and synchronizing various tools. In order to reduce that difficulty, an adequate architecture for the final co-simulator must be selected. Therefore, in this paper the authors investigate and propose a methodology for the design of CPSS co-simulation tools. The paper describes the four steps that software architects should follow in order to design the most adequate co-simulator for a certain application, considering the final users’ needs and requirements and various additional factors such as the development team’s experience. Moreover, the first practical use case of the proposed methodology is provided. An experimental validation is also included in order to evaluate the performing of the proposed co-simulator and to determine the correctness of the proposal.

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“…The problem of service distribution has been widely addressed in recent years. Besides crossorganizations interoperability, service distribution is explored in the field of grid computing and more recently in task delegation, specifically in the field of distributed execution of services, with the rise of smartphones (Alcarria, Robles, Morales, & Cedeño, 2014).…”

Section: Introductionmentioning

confidence: 99%

Enabling Efficient Service Distribution using Process Model Transformations

Alcarria

Martín

Sánchez-Picot

2016

International Journal of Data Warehousing and Mining

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The challenge of service distribution has been considered in the fields of cross-organizational interoperability, grid computing and task delegation but little addressed for cross-zone application deployment in Cloud Computing. This paper proposes a process model transformation technique based on activity aggregation to efficiently distribute services for the Web of Data between various Cloud availability zones. The authors propose a workflow decomposition method based on SPQR fragments and the definition of an efficient service distribution algorithm according to a defined cost model. This cost model considers not only the transmission of information between activities for data and control scopes but also the cost of activity execution in different regions. Finally the authors validate their method by providing a tool that introduces the distribution information into the workflow, applying their distribution algorithm in a use case and describing the transformation process to distributed BPEL code that can be easily deployed to back-end instances.

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Resolving coordination challenges in distributed mobile service executions

Cited by 15 publications

References 37 publications

A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks

A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks

A Methodology for the Design of Application-Specific Cyber-Physical Social Sensing Co-Simulators

Enabling Efficient Service Distribution using Process Model Transformations

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