Mobile advertising will become more pervasive and profitable, but not before addressing key technical and business challenges.

PurposeMany organizations are outsourcing their information technology (IT) related services to a third party vendor for quite some time. However, the IT services industry including outsourcing is going through rapid changes with the increasing adoption of Cloud computing. The purpose of this paper is to compare global IT outsourcing with Cloud computing along with the evolution of traditional IT services.Design/methodology/approachCloud computing is a model for provisioning and consuming IT capabilities on a need and pay by use basis. This helps in shifting the cost structure from capital expenditure to operating expenditure and also helps the IT systems to be more agile. This innovative model of acquiring IT related services has made organizations revisit their infrastructure and platform services strategy and optimize their IT spending while improving overall agility. This paper compares global IT outsourcing with Cloud computing along with the evolution of traditional IT services.FindingsThe impact of Cloud computing on IT outsourcing is no doubt significant. Cloud computing represents a fundamental shift in how organizations pay for and access IT services. It has created new opportunities for IT services providers and the outsourcing vendors will have to modify their strategy to take advantage of this new computing paradigm.Practical implicationsThis research is relevant for practitioners as well as researchers in the field of IT outsourcing and Cloud computing.Originality/valueThis research compares global outsourcing with Cloud computing along with the evolution of IT services. Very little research has been done in this nascent and important area.

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This paper describes a distributed algorithm (generalized d-CDS) for producing a variety of d-dominating sets of nodes that can be used to form the backbone of an ad hoc wireless network. In special cases (ordinary d-CDS), these sets are also d-hop connected and has a desirable "shortest path property". Routing via the backbone created is also discussed. The algorithm has a "constant-time" complexity in the limited sense that it is unaffected by expanding the size of the network as long as the maximal node degree isn't allowed to increase too. The performances of this algorithm for various parameters are compared, and also compared with other algorithms.

In this paper we propose a novel, cloud-based framework to support citizens and city officials in the building permit process. The proposed framework is efficient, user-friendly, and transparent with a quick turnaround time for homeowners. Compared to existing permit systems, the proposed smart city permit framework provides a pre-permitting decision workflow, and incorporates a data analytics and mining module that enables the continuous improvement of both the end user experience and the permitting and urban planning processes. This is enabled through a data mining-powered permit recommendation engine as well as a data analytics process that allow a gleaning of key insights for real estate development and city planning purposes, by analyzing how users interact with the system depending on their location, time, and type of request. The novelty of the proposed framework lies in the integration of a pre-permit processing front-end with permit processing and data analytics & mining modules, along with utilization of techniques for extracting knowledge from the data generated through the use of the system. The proposed framework is completely cloud-based, such that any city can deploy it with lower initial as well as maintenance costs. We also present a proof-of-concept use case, using real permit data from New York City.