Context-aware computing-based reducing cost of service method in resource discovery and interaction

Reducing cost of service is an important goal for resource discovery and interaction technologies. The shortcomings of transhipment-method and hibernation-method are to increase holistic cost of service and to slower resource discovery respectively. To overcome these shortcomings, a context-aware computing-based method is developed. This method, firstly, analyzes the courses of devices using resource discovery and interaction technologies to identify some types of context related to reducing cost of service, then, chooses effective methods such as stopping broadcast and hibernation to reduce cost of service according to information supplied by the context but not the transhipment-method’s simple hibernations. The results of experiments indicate that under the worst condition this method overcomes the shortcomings of transhipment-method, makes the “poor” devices hibernate longer than hibernation-method to reduce cost of service more effectively, and discovers resources faster than hibernation-method; under the best condition it is far better than hibernation-method in all aspects.

Resources publication and discovery in manufacturing grid

In the manufacturing grid＇s architecture, Resources Management System （RMS） is the central component responsible for disseminating resource information across the grid, accepting requests for resources, discovering and scheduling the suitable resources that match the requests for the global grid resource, and executing the requests on scheduled resources. In order to resolve the problem of resources publication and discovery in Manufacturing Grid （MGrid）, the classification of manufacturing resources is first researched after which the resources encapsulation class modes are put forward. Then, a scalable two-level resource management architecture is constructed on the model, which includes root nodes, domain nodes and leaf nodes. And then an RIMS is proposed, and the resources publication and discovery mechanism are detailedly described. At last, an application prototype is developed to show the validity and the practicability of the proved theory and method.

Pharmaceutical resource discovery from traditional medicinal plants:Pharmacophylogeny and pharmacophylogenomics

The worldwide botanical and medicinal culture diversity are astonishing and constitute a Pierian spring for innovative drug R&D.Here,the latest awareness and the perspectives of pharmacophylogeny and pharmacophylogenomics,as well as their expanding utility in botanical drug R&D,are systematically summarized and highlighted.Chemotaxonomy is based on the fact that closely related plants contain the same or similar chemical profiles.Correspondingly,it is better to combine morphological characters,DNA markers and chemical markers in the inference of medicinal plant phylogeny.Medicinal plants within the same phylogenetic groups may have the same or similar therapeutic effects,thus forming the core of pharmacophylogeny.Here we systematically review and comment on the versatile applications of pharmacophylogeny in(1)looking for domestic resources of imported drugs,(2)expanding medicinal plant resources,(3)quality control,identification and expansion of herbal medicines,(4)predicting the chemical constituents or active ingredients of herbal medicine and assisting in the identification and determination of chemical constituents,(5)the search for new drugs sorting out,and(6)summarizing and improving herbal medicine experiences,etc.Such studies should be enhanced within the context of deeper investigations of molecular biology and genomics of traditional medicinal plants,phytometabolites and metabolomics,and ethnomedicine-based pharmacological activity,thus enabling the sustainable conservation and utilization of traditional medicinal resources.

The Open Geospatial Consortium Sensor Web PivotViewer: an innovative tool for worldwide sensor web resource discovery

In recent years,large-scale sensor arrays and the vast data-sets they produce worldwide are being utilized,shared,and published by a rising number of researchers on an ever-increasing frequency.An increasing number of sensor web services are deployed to host and share the large volume of sensor data online.How to efficiently discover the sensor web resources and visualize different types of sensor data in a coherent environment becomes an important research question that is still not fully resolved.In this paper,we propose the Sensor Web PivotViewer system.By integrating the Geospatial Cyberinfrastructure for Environmental Sensing(GeoCENS)cyber infra-structure,the Microsoft PivotViewer,and the Microsoft BingMaps,the proposed system fills in the missing software components for users to easily and intuitively discover and utilize the worldwide sensor web resources.

Analytical Comparison of Resource Search Algorithms in Non-DHT Mobile Peer-to-Peer Networks

One of the key challenges in ad-hoc networks is the resource discovery problem.How efciently&quickly the queried resource/object can be resolved in such a highly dynamic self-evolving network is the underlying question?Broadcasting is a basic technique in the Mobile Ad-hoc Networks(MANETs),and it refers to sending a packet from one node to every other node within the transmission range.Flooding is a type of broadcast where the received packet is retransmitted once by every node.The naive ooding technique oods the network with query messages,while the random walk scheme operates by contacting subsets of each node’s neighbors at every step,thereby restricting the search space.Many earlier works have mainly focused on the simulation-based analysis of ooding technique,and its variants,in a wired network scenario.Although,there have been some empirical studies in peer-to-peer(P2P)networks,the analytical results are still lacking,especially in the context of mobile P2P networks.In this article,we mathematically model different widely used existing search techniques,and compare with the proposed improved random walk method,a simple lightweight approach suitable for the non-DHT architecture.We provide analytical expressions to measure the performance of the different ooding-based search techniques,and our proposed technique.We analytically derive 3 relevant key performance measures,i.e.,the avg.number of steps needed to nd a resource,the probability of locating a resource,and the avg.number of messages generated during the entire search process.

URECA:Efficient Resource Location Middleware for Ubiquitous Environment

We describe an effective resource location framework for ubiquitous computing environments populated by a diverse set of networks, devices, services and computational entities. Our framework provides context adaptation with the aid of a middleware service to improve the quality of resource location. A resource location protocol suitable to each type of network locates resource effectively by means of dynamic reconfiguration to the current context. Our framework is also refined by support for interoperability between different types of resource location protocols occurring across a hybrid ubiquitous network. These characteristics also reduce the control overhead for resource location, saving resource, decreasing latency and permitting a considerable degree of scalability.

Plant pharmacophylogeny:past,present and future

The concept of“pharmacophylogeny”was proposed by Peigen Xiao in the 1980s based on long-term studies of Chinese researchers since ancient times and especially the 1950s.The complicated relationships and connectivity between kinship of medicinal plants,their chemical profiles and therapeutic utilities are consistent goals of pharmacophylogeny studies,which benefit innovative drug R&D.In the present work,we reviewed the origin and a brief history of research in this field,as well as the status quo and recent progress of pharmacophylogeny.The concept“pharmacophylogenomics”is put forward to represent the expanding utility of pharmacophylogeny in botanical drug R&D.Pharmacophylogeny and pharmacophylogenomics are the synthesis of multiple disciplines,such as chemotaxonomy,plant morphology,plant biochemistry/molecular biology and omics,etc.Medicinal plants within the same phylogenetic groups may have the same or similar therapeutic compounds/effects,thus forming the core of pharmacophylogeny,which is the scientific law summed up from practice and applied to practice after refining and sublimation.In the past,pharmacophylogeny plays a big role in looking for alternative resources of imported drugs in China.At present,it continues to play an active role in expanding medicinal plant resources,quality control/identification of herbal medicines,as well as predicting the chemical constituents or active ingredients of herbal medicine and the identification and determination of chemical constituents.In the ongoing future,it will play a bigger role in the search for new drugs,sorting out,summarizing,and improving herbal medicine experiences,thus boosting the sustainable conservation and utilization of traditional/natural medicinal resources.