As the strategic rivalry between the United States and China rapidly deepens, growing distrust and fears of China are once again shaping Australian media coverage and public discourse, with potent implications for Australia’s China policy. At this crucial historical moment, Engaging China offers a full-throated defence of engagement. This volume brings together a diverse set of Australia’s seasoned diplomats, experienced journalists and renowned scholars to assess the current state of Australia–China relations and offer pragmatic advice for how Australia can restore a healthy and stable relationship with China. Over the past five decades, Australia’s engagement of China has facilitated a deepening economic relationship alongside expanded cultural, educational and people-to-people exchanges, fostering greater understanding between the two countries and populations. The contributors to this volume share a common vision: Australia and Australians should continue to engage with China and Chinese people for mutual benefit. The chapters take stock of past achievements, identify recent challenges and offer practical suggestions for how the Australian government and Australian firms, institutions and individuals can proactively, productively and securely engage with China. Australia’s rich and diverse relations with China extend far beyond the political and economic interactions that tend to dominate news headlines. In explaining how and why an engagement strategy continues to serve Australian interests, Engaging China offers a timely alternative to the prevailing public and policy discourses on Australia’s most challenging bilateral relationship.

Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and usersDescribes several novel strategies for storing application datasets in the cloudIncludes real-world case studies of scientific research applications
Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users

Describes several novel strategies for storing application datasets in the cloud

Includes real-world case studies of scientific research applications

With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer.

The book assesses U.S. foreign relations in the Indo-Pacific during the Trump Administration, with a particular focus on the regional powers' response to Trump's "America First" policy. The chapter authors draw on the theoretical insights from dominant International Relations theories - (Neo)Realism, Liberal Institutionalism, and Constructivism - to explain both continuities and discontinuities found in the regional powers' security and foreign economic policies before and during the Trump Administration. The book will be of interest to new and advanced students of International Relations, Asian Studies, and U.S. foreign policy. The multi-national perspectives of the regional experts offer penetrating analyses of the likely legacy (or lack thereof) of the range of political, security, and trade policy initiatives launched by the Trump Administration and its implications for the balance of power, regional institutions, and national identity-informed approaches to international relations in the Indo-Pacific.

The book assesses U.S. foreign relations in the Indo-Pacific during the Trump Administration, with a particular focus on the regional powers' response to Trump's "America First" policy. The chapter authors draw on the theoretical insights from dominant International Relations theories - (Neo)Realism, Liberal Institutionalism, and Constructivism - to explain both continuities and discontinuities found in the regional powers' security and foreign economic policies before and during the Trump Administration. The book will be of interest to new and advanced students of International Relations, Asian Studies, and U.S. foreign policy. The multi-national perspectives of the regional experts offer penetrating analyses of the likely legacy (or lack thereof) of the range of political, security, and trade policy initiatives launched by the Trump Administration and its implications for the balance of power, regional institutions, and national identity-informed approaches to international relations in the Indo-Pacific.

Relations between China and the Association of Southeast Asian Nations (ASEAN) have undergone significant changes over the past 15 years. ASEAN's concerns over Beijing's drive for military modernization and its assertive posture in territorial disputes over the South China Sea of the early 1990s are replaced with growing economic ties and shared geo-political interests for building regional security through multilateral processes. Since the 1997 Asian financial crisis, Beijing has expanded its influence as a major political force in the region and a locomotive for economic recovery and future opportunity. What explains China's successful diplomatic offensive and what implications do closer China-ASEAN ties have for the United States? In this monograph, Dr. Jing-dong Yuan of the Monterey Institute of International Studies seeks to answer these questions by tracing the evolution of China-ASEAN relations since the early 1990s and examining some of the key factors that have contributed to...

The author traces the evolution of China-ASEAN relations since the early 1990s and examines some of the key factors that have contributed to the positive developments in bilateral ties. He describes and analyzes how China and ASEAN have managed the territorial disputes through negotiation and compromises; looks at the expanding economic ties between China and ASEAN member states and examines the politico-strategic, as well as economic rationales for establishing a free trade area; and evaluates the emerging yet still limited defense and security ties between the two. He also assesses the implications of the growing China-ASEAN ties for U.S. interests in the region.

Cloud computing is the latest market-oriented computing paradigm which brings software design and development into a new era characterized by "XaaS", i.e. everything as a service. Cloud workflows, as typical software applications in the cloud, are composed of a set of partially ordered cloud software services to achieve specific goals. However, due to the low QoS (quality of service) nature of the cloud environment, the design of workflow systems in the cloud becomes a challenging issue for the delivery of high quality cloud workflow applications. To address such an issue, this book presents a systematic investigation to the three critical aspects for the design of a cloud workflow system, viz. system architecture, system functionality and quality of service. Specifically, the system architecture for a cloud workflow system is designed based on the general four-layer cloud architecture, viz. application layer, platform layer, unified resources layer and fabric layer. The system functionality for a cloud workflow system is designed based on the general workflow reference model but with significant extensions to accommodate software services in the cloud. The support of QoS is critical for the quality of cloud workflow applications. This book presents a generic framework to facilitate a unified design and development process for software components that deliver lifecycle support for different QoS requirements. While the general QoS requirements for cloud workflow applications can have many dimensions, this book mainly focuses on three of the most important ones, viz. performance, reliability and security. In this book, the architecture, functionality and QoS management of our SwinDeW-C prototype cloud workflow system are demonstrated in detail as a case study to evaluate our generic design for cloud workflow systems. To conclude, this book offers a general overview of cloud workflow systems and provides comprehensive introductions to the design of the system architecture, system functionality and QoS management.