Context-aware systems offer entirely new opportunities for application developers and for end users by gathering context data and adapting sysAbstract. Context-aware systems offer entirely new opportunities for application developers and for end users by gathering context data and adapting systems' behavior accordingly. Especially in combination with mobile devices such mechanisms are of great value and claim to increase usability tremendously. In this paper, we present a layered architectural framework for context-aware systems. Based on our suggested framework for analysis, we introduce various existing context-aware systems focusing on context-aware middleware and frameworks, which ease the development of context-aware applications. We discuss various approaches and analyze important aspects in context-aware computing on the basis of the presented systems.

orchestrating services. SOC lets developers dynamically grow application portfolios more quickly than ever before by• creating compound solutions that use internal organizational software assets, including enterprise information and legacy systems, and • combining these solutions with external components possibly residing in remote networks.The visionary promise of SOC is that it will be possible to easily assemble application components into a loosely coupled network of services that can create dynamic business processes and agile applications that span organizations and computing platforms.3 Such services will go well beyond simply exchanging information-the dominating mechanism for application integration today-to accessing, programming, and integrating application services encapsulated within old and new applications.Key to realizing this vision is the service-oriented architecture. SOA is a logical way of designing a software system to provide services either to end-user Service-oriented computing promotes the idea of assembling application components into a network of services that can be loosely coupled to create flexible, dynamic business processes and agile applications that span organizations and computing platforms. An SOC research road map provides a context for exploring ongoing research activities.

Abstract. The goal of this roadmap paper is to summarize the state-ofthe-art and to identify critical challenges for the systematic software engineering of self-adaptive systems. The paper is partitioned into four parts, one for each of the identified essential views of self-adaptation: modelling dimensions, requirements, engineering, and assurances. For each view, we present the state-of-the-art and the challenges that our community must address. This roadmap paper is a result of the Dagstuhl Seminar 08031 on "Software Engineering for Self-Adaptive Systems, " which took place in January 2008.

Service-Oriented Computing (SOC) is a new computing paradigm that utilizes services as the basic constructs to support the development of rapid, low-cost and easy composition of distributed applications even in heterogeneous environments. The promise of Service-Oriented Computing is a world of cooperating services where application components are assembled with little effort into a network of services that can be loosely coupled to create flexible dynamic business processes and agile applications that may span organizations and computing platforms. The subject of Service-Oriented Computing is vast and enormously complex, spanning many concepts and technologies that find their origins in diverse disciplines that are woven together in an intricate manner. In addition, there is a need to merge technology with an understanding of business processes and organizational structures, a combination of recognizing an enterprise's pain points and the potential solutions that can be applied to correct them. The material in research spans an immense and diverse spectrum of literature, in origin and in character. As a result research activities are very fragmented. This necessitates that a broader vision and perspective be established — one that permeates and transforms the fundamental requirements of complex applications that require the use of the Service-Oriented Computing paradigm. This paper provides a Service Oriented Computing Roadmap and places on-going research activities and projects in the broader context of this roadmap. This research roadmap launches four pivotal, inherently related, research themes to Service-Oriented Computing: service foundations, service composition, service management and monitoring and service-oriented engineering.

Process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes

CLOUD COVERT he term Internet of Things (IoT) was rst introduced to the technology community in in reference to automated supply-chain management. The concept of enabling a computer to sense information without human intervention was then applied to other elds such as healthcare, home technology, environmental engineering, and transportation.With IoT implementation now becoming more widespread, we're entering the post-cloud era, in which devices will generate a lot of data at the end of the network and many applications will be deployed at the edge to process the information. Cisco Systems predicts that an estimated billion devices will connect to the Internet by . Some of the applications they run might require very short response times, some might involve private data, and some might produce huge quantities of data. Cloud computing can't support these IoT applications. Edge computing, on the other hand, can do so and will promote many new IoT applications. WHY DO WE NEED EDGE COMPUTING?Edge computing will become important for several reasons. Cloud servicesMoving all computing tasks to the cloud has been an e cient way to process data because there's more computing power in the cloud than in the devices at the network edge. However, although data-processing speeds have risen rapidly, the bandwidth of the networks that carry data to and from the cloud hasn't increased appreciably. Thus, with edge devices generating more data, the network is becoming cloud computing's bottleneck.As an example, cameras in an autonomous vehicle capture a huge amount of video data, which the system must process in real time to yield good driving decisions. If the vehicle must send the data to the cloud for processing, the response time would be too long. And a large numberThe success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. Edge computing could address concerns such as latency, mobile devices' limited battery life, bandwidth costs, security, and privacy.

Abstract. The goal of this roadmap paper is to summarize the stateof-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for self-adaptive solutions, software engineering processes for self-adaptive systems, from centralized to decentralized control, and practical run-time verification & validation for self-adaptive systems. For each topic, we present an overview, suggest future directions, and focus on selected challenges. This paper complements and extends a previous roadmap on software engineering for self-adaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. This roadmap is one of the many results of the Dagstuhl Seminar 10431 on Software Engineering for Self-Adaptive Systems, which took place in October 2010.

Due to the web services' heterogeneous nature, which stems from the definition of several XML-based standards to overcome platform and language dependence, web services have become an emerging and promising technology to design and build complex inter-enterprise business applications out of single web-based software components. To establish the existence of a global component market, in order to enforce extensive software reuse, service composition experienced increasing interest in doing a lot of research effort. This paper discusses the urgent need for service composition, the required technologies to perform service composition. It also presents several different composition strategies, based on some currently existing composition platforms and frameworks, re-presenting first implementations of state-of the-art technologies, and gives an outlook to essential future research work.Keywords: web services; coordination; transaction; context; conversation modelling; service execution; quality of service; service composition. Biographical notes:Schahram Dustdar is a Full Professor at the Distributed Systems Group, Information Systems Institute, Vienna University of Technology (TU Wien). In 1999 he co-founded Caramba Labs Software AG (CarambaLabs.com) in Vienna, a venture capital co-funded software company focused on software for collaborative processes in teams. Caramba Labs was nominated for several (international and national) awards. He has published some 70 scientific papers as conference-, journal-, and book contributions. He has written three academic books, one professional book, and co-edited six books/proceedings. More information can be found at: http://www.infosys.tuwien.ac.at/Staff/sd Wolfgang Schreiner is a PhD student at the Information Systems Institute, Vienna University of Technology, TU Wien. His research interests include web services workflows and web services evolution.