Importance of Global Co-innovation Networks: A TCS Case Study

Today all kinds of innovations and research work is done by partnerships of competent entities each having some specialized skills. Like the development of the global economy, global innovation partnerships have grown considerably and form the basis of most of the sophisticated innovations today. To further streamline and simplify such cooperation, several innovation networks have been formed, both at local and global levels. This paper discusses the different types of innovations and how cooperation can benefit innovation in terms of pooling of resources and sharing of risks. One example of an open global co-innovation network promoted by Tata Consultancy Services, the TCS COIN is taken as a case. It enables venture capitalists, consultants, research agencies, companies and universities form nodes of the network so that each entity can play a meaningful role in the innovation network. Further, two innovation projects implemented using the COIN are discussed. Innovation Networks like these could form the basis of a unique global innovation network, which is not owned by any company and is used by innovation partners globally to collaborate and conduct research and development.innovation partnerships; co-innovation network

The Role of Local Governments in Information Society

With the growing accessibility of electronic local governmental services local governments are facing new challenges both from the point of view of the organisation of duties and of their client services. If we analyse the network of relationships local governments have grown into with the development of information society, we will see that they will have to tackle many more and entirely different types of tasks. These tasks have broader significance than a simple reorganisation of the offices, the computerization of certain processes, the elaboration and the introduction of an internet-based front office. As I will point out, local governments will have a much more specific role in information society. They must find access between functionality and content, they need to find the opportunity that makes peace between the local identities and the global network.

Service Composition in a Global Service Discovery System

GloServ is a global service discovery system which aggregates information about different types of services in a globally distributed network. GloServ classifies services in an ontology and maps knowledge obtained by the ontology onto a scalable hybrid hierarchical peer-to-peer network. The network mirrors the semantic relationships of service classes and as a result, reduces the number of message hops across the global network due to the domain-specific way services are distributed. Also, since services are described in greater detail, due to the ontology representation, greater reasoning is applied when querying and registering services. In this paper, we describe an enhancement to the GloServ querying mechanism which allows GloServ servers to process and issue subqueries between servers of different classes. Thus, information about different service classes may be queried for in a single query and issued directly from the front end, creating an extensible platform for service composition. The results are then aggregated and presented to the user such that services which share an attribute are categorized together. We have built and evaluated a location-based web service discovery prototype which demonstrates the flexibility of service composition in GloServ and discuss the design and evaluation of this system. Keywords: service discovery, ontologies, OWL, CAN, peer-to-peer, web service composition

(Il)Legitimisation of the role of the nation state: Understanding of and reactions to Internet censorship in Turkey

This study aims to explore Turkish citizen-consumers' understanding of and reactions to censorship of websites in Turkey by using in-depth interviews and online ethnography. In an environment where sites such as YouTube and others are increasingly being banned, the citizen-consumers' macro-level understanding is that such censorship is part of a wider ideological plan and their micro-level understanding is that their relationship with the wider global network is reduced, in the sense that they have trouble accessing full information on products, services and experiences. The study revealed that citizen-consumers engage in two types of resistance strategies against such domination by the state: using irony as passive resistance, and using the very same technology used by the state to resist its domination

Importance of global co-innovation networks: A TCS case study

Today all kinds of innovations and research work is done by partnerships of competent entities each having some specialized skills. Like the development of the global economy, global innovation partnerships have grown considerably and form the basis of most of the sophisticated innovations today. To further streamline and simplify such cooperation, several innovation networks have been formed, both at local and global levels. This paper discusses the different types of innovations and how cooperation can benefit innovation in terms of pooling of resources and sharing of risks. One example of an open global co-innovation network promoted by Tata Consultancy Services, the TCS COIN is taken as a case. It enables venture capitalists, consultants, research agencies, companies and universities form nodes of the network so that each entity can play a meaningful role in the innovation network. Further, two innovation projects implemented using the COIN are discussed. Innovation Networks like these could form the basis of a unique global innovation network, which is not owned by any company and is used by innovation partners globally to collaborate and conduct research and development

Information Technology Product Bundling in the Presence of Complementarities, Quality Uncertainty, and Network Effects: An Agent-Based Approach

Bundling of information technology products and services is prevalent in markets for information goods, telecommunication services, computer hardware, and software goods. However, factors affecting consumers’ choice of IT product bundles, and the resultant impacts to markets, have not been clearly documented in the information systems literature. In this paper, we develop agent-based simulation models to examine the effects of bundle component quality uncertainty (in either the focal or supplement components), bundle component complementarity (complementary or noncomplementary bundles), and network effects (global market shares or local social network interaction effects) on agents’ choices of product bundles. In addition, we also examine different effects of agents’ risk preferences (risk-aversion, risk-neutrality, and risk-seeking) on their choices of product bundles. Finally, we differentiate the impact of network effects and agents’ risk preferences on bundle choices depending on two types of agent preferences for bundle attributes: homogeneous or heterogeneous preferences. Our findings indicate that global market share network effects have a significant influence on risk-averse and risk-neutral agents’ choice of different product bundles. Market share network effects do not seem to have much influence on bundle choices among risk-seeking agents. Interestingly, our simulation results also indicate that social network interaction effects on a local scale have greater effects on bundle choices of risk-averse and risk-neutral agents, compared to the market share network effect. Our overall results also indicate that agents have the highest preference for complementary product bundles with a good, certain quality focal item than for other types of product bundles. From our research findings, implications for research and practice are presented

Dynamic slicing of RAN resources for heterogeneous coexisting 5G services

This paper has been presented at: IEEE Global Communications Conference, GLOBECOM 2019Network slicing is one of the key components allow-ing to support the envisioned 5G services, which are organized in three different classes: Enhanced Mobile Broadband (eMBB), massive Machine Type Communication (mMTC), and Ultra-Reliable and Low-Latency Communication (URLLC). Network Slicing relies on the concept of Network Softwarization (Software Defined Networking - SDN and Network Functions Virtualization - NFV) to share a common infrastructure and build virtual instances (slices) of the network tailored to the needs of dif-ferent 5G services. Although it is straightforward to slice and isolate computing and network resources for Core Network (CN) elements, isolating and slicing Radio Access Network (RAN) resources is still challenging. In this paper, we leverage a two-level MAC scheduling architecture and provide a resource sharing algorithm to compute and dynamically adjust the necessary radio resources to be used by each deployed network slice, covering eMBB and URLLC slices. Simulation results clearly indicate the ability of our solution to slice the RAN resources and satisfy the heterogeneous requirements of both types of network slices.This work was partially supported by the European Union’s Horizon 2020 Research and Innovation Program under the 5G!Drones (Grant No. 857031) and 5G-TRANSFORMER (Grant No. 761536) projects

Visualisasi Trafik Jaringan Dengan Metode Support Vector Machine (SVM) (Studi Kasus: Universitas Indo Global Mandiri)

Limited network resources and the increasing number of internet users in the current digital era have an impact on high traffic which results in decreased access speed to internet services. This is also a problem that occurs at the Indo Global Mandiri University (UIGM) Palembang, causing access to academic services to be slow. The purpose of this research is to identify the types of network traffic patterns which are then carried out by the process of grouping and visualizing these types of traffic. The data in this study were taken in real-time at the UIGM campus. The data obtained is the result of responses which are then extracted. The extraction results are processed using the Support Vector Machine (SVM) method for the process of grouping and visualizing data. The results of this study can distinguish types of traffic based on communication protocols, namely tcp and udp, where the results of the experiment were carried out six times with the results being the first experiment where 99.7% TCP and 0.1% for UDP, the second experiment 97.6% for TCP and 1.1% for UDP , trial three 99.7 % TCP and 0.2% UDP, trial four 97.5% and 1.3% UDP, trial five 99.5 TCP and 02% UDP, and the sixth or final try 97.7% TCP and 1.1% UDP. The data from the use of the SVM method obtained several types of traffic such as games by 0.4%, mail 0.2%, multimedia 0.4% and the web by 82.8% and this research still produces data that the pattern is not yet recognized by 15.5% Keywords : Network Traffic, Classification, Support Vector Mesi