Cisco Unified Contact Center Express meets the needs of midmarket and enterprise branch-office or departmental companies that need easy-to-deploy, easy-to-use, secure, virtual, highly available, and sophisticated customer interaction management for up to 300 agents. Cisco Unified Contact Center Express support for powerful, agent- based service as well as fully integrated self-service applications results in reduced business costs and improved customer response by providing sophisticated and distributed automatic call distributor (ACD), interactive voice response (IVR), computer telephony integration (CTI), and agent and desktop services in a single-server, contact- center-in-a-box deployment while offering the flexibility to scale to larger, more demanding environments. Cisco Unified Contact Center Express helps ensure your business rules for inbound and outbound voice and email; and customer interaction management helps ensure that each contact is delivered to the right agent the first time. To help companies provide efficient, effective, customer-focused service in the contact center, supervisors must have the tools they need to manage team performance. Cisco Unified Workforce Optimization for Cisco Unified Contact Center Express helps supervisors and other managers align contact center performance with business objectives by integrating workforce optimization into the team's daily workflow. Cisco Unified Contact Center Express is provided in three versions: Standard, Enhanced, and Premium, to better match product functions with your customer contact interaction management requirements. All Cisco Unified Contact Center Express products are tightly integrated with Cisco Unified Communications Manager.
Internet technologies are rapidly evolving and radically modifying the way people interact with each other. In par- ticular, the increasing number of virtual market places facil- itates trading transactions by bringing together a vast num- ber of potential buyers and sellers. In this context, busi- ness interactions are moving toward more dynamic and au- tomated solutions and electronic payment methods play a key role for all forms of on-line business . Nowadays, de- spite the growing deployment of electronic banking systems that allow some degree of automation , Web interfaces or ad hoc tools still require a large degree of human interac- tions. Transactions and payment orders, for instance, can be performed electronically, but only if a human is entering the right code or pressing the right button in a speciﬁc graphical interface. This kind of approach is evolving from customer self-service channels to more automated and fully integrated business applications that drive products and services to the consumer. Analysts predict that in the near future people will not physically go to their ﬁnancial institution branches nor log on to the Internet to deal with their bank- ing tasks. Instead, humans will delegate the management of their bank accounts, paycheck, investments, insurances, mortgages, loans and credits to their personal electronic ﬁ- nancial assistant 1 . The key concept is that self-interested software entities acting on behalf of humans and/or ser-
An essential part of managing a global Data Grid is a monitoring system that is able to monitor and track the many site facilities, networks, and the many task in progress, in real time. The monitoring information gathered also is essential for developing the required higher level services, and components of the Grid system that provide decision support, and eventually some degree of automated decisions, to help maintain and optimize workflow through the Grid. We therefore developed the agent-based MonALISA (Monitoring Agents in A Large IntegratedServices Architecture)  system, based on the DDSA framework. MonALISA is an ensemble of autonomous multi-threaded, self-describing agent-based subsystems which are registered as dynamic services and are able to collaborate and cooperate in performing a wide range of monitoring tasks in large scale distributed applications, and to be discovered and used by other services or clients that require such information.
Web Service is a dynamic, integrated program. All services can be dynamically found, bound and used through the UDDI standard. It is easy to adapt to changes in the system and it has increased the fl exibility and scalability of the system and overcome the shortage of using RPC (Remote Procedure Call) and API(Application Program Interface) integration technol- ogy, which meet the requirements of the loose coupling. Web Services has the following advantages in solving the traditional problems:
Multi-agent architectures have been explored as an alternative to develop context-aware systems. Lim et al.  propose a project to create a context-aware home that utilizes multi-agent systems to monitor and execute appropriate actions based on the current state of the house. The multi-agent system learns and adapts the movements and actions of the occupants and makes predictions. The authors propose an architecture that includes an agent in each room that interacts with the sensors and a superagent that makes decisions and deals with risk prediction. Other authors, such as Uhm et al. , focus on the semantic aspects of the context and propose a context model that separates the upper and lower layers according to the characteristics of each class using the Web Ontology Language (OWL). The system does not provide either embedded agents or organizational aspects. Kaluza et al.  present a context-aware multi-agent system for the care of the elderly that combines sensor technologies to detect falls and other health problems, and either calls for help in the case of an emergency or issues a warning in cases that do not require immediate attention. The ambient intelligence system focuses on detecting alarm situations and does not provide embedded agents or organizational aspects. Some studies, such as the one proposed by Ning and Yang , present agents embedded in agents to control their functioning. Doctor et al.  use embedded agents in mobile devices and fuzzy logic to emulate certain human behaviors .
The initial developer of a tool is often not the developer who goes on to maintain and extend that tool. Never the less, the intention and motivation behind the original development does give some indication as to the design of the monitoring tool and its applicability to cloud mon- itoring. In our survey there are four origins: cluster/hpc, grid, cloud and enterprise computing. Cluster monitor- ing tools were predominantly written to operate over a data centre or other small geographic area and were envis- aged to function in an environment with few applications. As such they tend to focus primarily upon metric collec- tion and little else. Ganglia is a prime example of a cluster monitoring tool. Grid tools are a natural evolution of clus- ter tools whereby monitoring is performed over a wider geographic area as is typical of grid virtual organisations. In a similar fashion, grid tools focus primarily on met- ric collection though health monitoring also features in several grid based tools. Enterprise monitoring is a vast category of tools which are incorporate several use cases. Enterprise monitoring tools are by in large designed for organisations who run a variety of applications, operating systems, hardware and other infrastructure. Enterprise tools such as Nagios are commonly used in cloud settings as they have wide support for applications such as web servers, databases and message queues. Enterprise mon- itoring tools were not, largely, designed to tolerate scale or changes to scale. Such tools therefore often require manual configuration to add or remove a monitored host and incur heavy load when monitoring large numbers of VMs. Cloud monitoring tools are the newest category of monitoring tools. These tools are in their infancy but are typically designed with scale and elasticity as core goals. Cloud monitoring tools are often interoperable and repre- sent the growing popularity of patchwork solutions which integrate numerous tools. While, a priori, cloud monitor- ing tools are most appropriate for cloud monitoring they often lack the features of their more mature counterparts from alternative domains.
Potential future questions include: How the knowledge of possible types of cooperation between available agents can be used in solving conflicts between agents? What effects does it have on task performance and communication performance (such as the number of exchanged messages)? How such cooperation principles can be formalized? How much is this typology/metrics a commonality across research camps involved in the workshop? Can it be applied to the monitoring of cooperation between real and complex autonomous agents? Between human and software agents? Can the knowledge of such types of cooperation be useful to select initiative strategies? How much tycoon metrics can be indicators of agent cooperation efficiency? Could tycoon metrics be used to monitor team creation or inter-team cooperation?
innovation. Supply chains consist of networks formed by co-operating partners that are covering various companies (Original Equipment manufacturers (OEM), suppliers, sub-suppliers, etc.).Due to Bullwhip effect of fluctuations in market, the global optimization of the corresponding business processes offers a vast optimization potential. That hampered by the fact that the companies are not willing to reveal their production data to competitors, unless they are forced to do so. due to which a global optimization is hardly feasible today. That’s why MAS perfectly suit these demands for global flexibility, co-operation and local autonomy. The individual projects that are involved in the research activities presented in this paper address these problems and offer services in the range of SCM scheduling. In this paper, a reference model integrating the mentioned MAS is introduced including interfaces and gateways between the systems.
the number of web services which are involved in the compo- sition. Each and every relation’s attribute can be treated as web services. In this scenario we have considered the follow- ing web services: WS1, WS2, WS3, WS4 and WS5 providing the following details University Information (UI), Course- Name(CN), CourseType (DT), CourseFees(CF) and Total- Seats(TS) respectively. Depends upon the query the either one or more services will be returned to the users. The num- ber of web services in the response will decide the composi- tion is required or not and is defined by the composition plan. Table 3 shows the input and output of each service
local-level research on integrated working in children’s services. The study aimed to focus on the effectiveness of integrated working, specifically its impact on outcomes however the report warned that drawing solid conclusions from this type of study is problematic. This is because additional factors such as individual child and family characteristics and other related programmes and policy initiatives can influence a child’s life experience and make it difficult to establish a causal link. Furthermore, it takes time for integrated working to be firmly established and for evidence on outcomes to emerge. The authors stressed:
on elevation and rainfall. These data are used to calculate surface flow and location of potential seasonal standing water. Each cell generates a mobile ‘raindrop’ containing a given precipitation volume. The raindrops follow the elevation data, moving to the adjacent cell with the lowest elevation (and considering the summed volume [mm] of raindrops already at that location). If raindrops cannot move (i.e. a location is flooded), the raindrops ‘pool’ and form river and lake patterns. This flow pattern can be valid- ated against GIS- based methods. The function serves to move water based on elevation, and can simulate the spatial distribution and flow rates of rivers and lakes, as shown in Fig. 16.2. The result of these equations is a surprising spatial pattern that is able to recreate the potential river, lake, and wetland systems under climate variation assump- tions. An important caveat of the model output, however, is that surface water in many areas drains rapidly to the aquifer owing to significant karst solution of the limestone bedrock, which is a topic for further research effort. Groundwater is a significant com- ponent of water supply for ancient Maya wetland agricultural fields in north- western Belize, and for domestic and agricultural water supply on the north- western Yucatan Peninsula (Luzzadder- Beach, 2000; Luzzadder- Beach and Beach, 2009; Isendahl et al., Chapter 26). Furthermore, Beach et al. (2008) show that land- use intensity caused some slopes to change from karstic (infiltration dominant) to fluvial (run- off dominated) during past and modern times.
Internet Location Manager to remotely access applications over the Internet. Check e-mail, access corporate applications to check inventory, log orders and more. In addition, each mobile worker can also request internal information from the iLM, such as GPS-based
In this work, we employ an agent-basedintegrated assessment model to study the likelihood of transition to green, sustainable growth in presence of climate damages. The model comprises heterogeneous fossil-fuel and renewable plants, capital- and consumption-good firms and a climate box linking greenhouse gasses emission to temperature dynamics and microeconomic climate shocks affecting labour productivity and energy demand of firms. Simulation results show that the economy possesses two statistical equilibria: a carbon-intensive lock-in and a sustainable growth path characterized by better macroeconomic performances. Once climate damages are accounted for, the likelihood of a green transition depends on the damage function employed. In particular, aggregate and quadratic damage functions overlook the impact of climate change on the transition to sustainability; to the contrary, more realistic micro-level damages are found to deeply influence the chances of a transition. Finally, we run a series of policy experiments on carbon (fossil fuel) taxes and green subsidies. We find that the effectiveness of such market- based instruments depends on the different channels climate change affects the economy through, and complementary policies might be required to avoid carbon-intensive lock-ins.
SIP signalling, routing infrastructure, and services represent exactly the kind of connective middleware that can provide the necessary application-level and user-level connectivity. Because SIP is media-neutral and, after call establish- ment, purely peer-to-peer, rich SIP connectivity throughout Internet2 will en- able experimentation with a great variety of applications, codecs, user interfaces, and media types. Toward this end, Internet2 members institutions are deploy- ing SIP-based call routing infrastructure  and experimenting with SIP-based presence services and integrated communications applications .
Documents describing the types of service providers typ- ically include a range of professionals from several disci- plines. For example, the intensive mobile youth outreach service subprogram of Orygen Youth Health consists of two psychologists, two social workers, one occupa- tional therapist, one psychiatric nurse, and a part-time consultant psychiatrist . Very few documents pro- vided detailed information about service providers’ roles. Within New Zealand’s Youth One Stop Shops, several services are offered by physicians, nurses, counsellors, social workers and youth staff , providing primary care, sexual and reproductive health, mental health, drug and alcohol services, counselling, smoking cessation, family planning, and health promotion and education services . For the Foundry prototype, primary care and sexual health services are provided by general prac- titioners and nurse practitioners, mental health services by psychiatrists, and substance use counseling by social workers and nurses. Additionally, partnerships provide other services, including psychosocial rehabilitation, housing support, income assistance, and peer support. ACCESS Open Minds clinicians include professionals with psychology, nursing, social work, or occupational therapy backgrounds who assess youth needs and pro- vide need-based care [40, 43]. In YouthCan IMPACT, each integrated collaborative care team includes youth workers, social workers, psychiatrists, nurse practition- ers, peer support workers, access to primary care pro- viders, and a care navigator . For higher-risk youth, psychiatrists and/or nurse practitioners provide psychiat- ric assessment and medication management, along with other clinically appropriate interventions. Several ICYSH models in this review included peer support workers as service providers [38, 40, 43, 52, 63], reflecting the importance of youth with lived experience supporting other youth experiencing similar issues.
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