Market-based Resource Management Research Articles

The wrong fish: maneuvering the boundaries of market-based resource management

ABSTRACTHow can economic actors stay afloat in a highly volatile market environment? By drawing on ethnographic material from the Icelandic fishing industry, this article demonstrates how fishers maneuver the boundaries of market-based resource management that tend to ignore the ever-changing environment of the sea. The empirical material shows how fishers skillfully manipulate their socio-technical environment in order to adjust the market for so-called Individual Transferable Quotas (ITQs) with the movement of fish stocks. Accordingly, three coping practices are deployed: (i) tinkering with accounts, (ii) socio-technical conversion, and (iii) redefining boundaries. While these practices allow fishers to stay afloat, they are likewise undermined by the ever-changing environment of the sea, consequently fueling a money-induced cycle of socio-technical problem-solving and breakdowns.

Cloud Computing: Future Generation Computing Systemsas the 5th Utility

Cloud computing is the emerging computing platform by providing the computing utilities as service such as platform, software and storage. By the latest advancements in Information and Communications Technology last previous half century, there is an increasing perceived vision that computing is going be the 5th most wanted utility after electricity, telephony, gas, and water. The computing utility is like all other four necessary utilities. It will provide the basic level of computing service that is assumed essential to meet the everyday needs of the general public. In this paper, we define Cloud computing and included the architecture for creating Clouds with market-oriented resource allocation by latest technologies like Virtual Machines. We also provide insights on market-based resource management techniques that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement oriented resource allocation. Finally, we conclude with the need of IT technologies to deliver our current vision of computing.

A Group Selection Pattern Applied to Grid Resource Management

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> A key challenge in Grid computing is the achievement of efficient and self-organized resource management. Grids are often large scale, heterogeneous, and unpredictable systems. Introducing group structures can help to distribute coordination efforts, but higher levels of adaptation and learning in the coordination protocols are still required in order to cope with system complexity. We provide a solution based on a self-organized and emergent mechanism evolving congregations of resource management agents through a Group Selection process which maximizes utility outcomes for system-wide performance. We provide a formalization of this process into a Group Selection pattern, and we propose several instantiations optimizing Grid resource management scenarios such as adaptive job scheduling, market-based resource management, and policy coordination in virtual organizations (VOs). We further evaluate by simulation the performance of the mechanism in those scenarios. The results support the conclusion that Group Selection optimizes coordination by evolving small and dynamic groups. </para>

Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

With the significant advances in Information and Communications Technology (ICT) over the last half century, there is an increasingly perceived vision that computing will one day be the 5th utility (after water, electricity, gas, and telephony). This computing utility, like all other four existing utilities, will provide the basic level of computing service that is considered essential to meet the everyday needs of the general community. To deliver this vision, a number of computing paradigms have been proposed, of which the latest one is known as Cloud computing. Hence, in this paper, we define Cloud computing and provide the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs). We also provide insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA)-oriented resource allocation. In addition, we reveal our early thoughts on interconnecting Clouds for dynamically creating global Cloud exchanges and markets. Then, we present some representative Cloud platforms, especially those developed in industries, along with our current work towards realizing market-oriented resource allocation of Clouds as realized in Aneka enterprise Cloud technology. Furthermore, we highlight the difference between High Performance Computing (HPC) workload and Internet-based services workload. We also describe a meta-negotiation infrastructure to establish global Cloud exchanges and markets, and illustrate a case study of harnessing ‘Storage Clouds’ for high performance content delivery. Finally, we conclude with the need for convergence of competing IT paradigms to deliver our 21st century vision.