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Utility-based negotiation for task scheduling and resource allocation
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Service-oriented specification of networked sensing applications is a vision where programming for sensor networks essentially involves the specification of semantic information desired by the end user. This purely declarative highlevel specification is used to first select a set of services from the library of available services for the target network, where each service could map to an independent application with a well-defined interface for integration with other applications. In the context of ATaG where composition of two independent ATaG program is equivalent-in the simplest case where the two programs do not share data or functionality-to the concatenation of the corresponding task graphs, each service could naturally map to an ATaG program. Of course, this requires a new markup language for describing ATaG programs in terms of the services they provide to the end user, similar to semantic streams [57]. Assuming that the component subprograms can be identified from the highlevel specification and that the final mapping of tasks to nodes and the setup of communication pathways in the network is accomplished, the next problem is to manage resource allocation in face of conflicting requests from application tasks. For example, two tasks on the same node could request an image from the camera at the same time, but require the camera to be pointing in different directions. A utility-based negotiator in the runtime could decide the resource allocation in such scenarios. The challenge is to develop a robust and scalable implementation of utility-based negotiation and to define a common utility scale that can be used across disparately developed ATaG libraries that are combined into a larger application. The concept of utility could also model task priorities and resolve conflicts when more than one task simultaneously requests preferential treatment. The key challenge in extending the basic model to handle such scenarios is to maintain the core design objectives-especially application neutrality-while enabling the expression of increasingly sophisticated behaviors.
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3.1.1 Support for ATaG semantics
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The primary objective of DART is to provide the required underlying mechanisms for communication and coordination between instances of abstract tasks specified by the programmer. Architecture independence of ATaG is ensured primarily by the deployment-specific interpretation of the generic task and channel annotations. Depending on the characteristics of the underlying network, the responsibility of translating the annotations could be distributed between the compile-time code generator and the runtime system itself. For instance, consider an output channel with an annotation neighborhood-hops:], indicating that the data item produced by the assocated task is to be sent to all the 1-hop neighbors of the node where the item is produced.
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Architecture-Independent Programming for Wireless Sensor Networks By Amol B. Bakshi, Viktor K. Prasanna Copyright @ 2008 John Wiley & Sons, Inc.
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For a network composed of relatively resource-rich nodes such as Stargates [50] connected by a robust wireless network, this annotation can be translated at compile time. The compiler will analyze the network graph, determining the nodes that will host the associated task, determine the IDS or geographic locations of the 1-hop neighbors (depending on the routing protocol being used), and hardcode the list of destinations for that data item into the runtime system. Every time an instance of the data item is produced, the runtime system will look up the IDS of the destination set (which is, in this scenario, assumed to be unchanging) and send the data item to each member of that set. On the other hand, the same ATaG program could be synthesized onto an underlying network that is dynamic in nature where the set of neighbors of a node is expected to change frequently: nodes being added or removed from the network (in a mobile setting), nodes failing due to exhaustion of limited energy resources, unreliable communication due to the hostile environment, etc. Clearly, the compile time analysis of the network graph is not feasible in such a scenario, and the runtime system supports runtime translation of the neighborhood-hops:l annotation into the instantaneous membership of the set of 1-hop neighbors. In addition, there are decisions to be made about how frequently should the runtime system update its view of the neighborhood, the impact of such updation on the performance and of the system, etc.
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