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Household appliances encompass a large variety of equipment including the cold appliances (refrigerators and freezers), the wet appliances (washing machines, dishwashers and dryers), the space conditioning appliances (heaters, air conditioners, heat pumps, fans, boilers), the water heaters, the cooking appliances, a wide array of consumer electronics (such as TVs, VCRs, HiFi systems) and miscellaneous small appliances (such as vacuum cleaners, irons, toasters, hairdryers and power tools). Household appliances save a large amount of domestic labour to perform the household tasks, as well as provide comfort conditions and convenience to the household occupants. The European Community SAVE Programme has promoted the efficient use of energy, in particular in domestic appliances. SAVE has sponsored a variety of studies to characterise the use of the main household appliances and lighting and to identify cost-effective technical options to improve the energy efficiency, as well as to identify the strategies to promote the penetration ofefficient equipment in the market place. National energy agencies, independent experts and appliance manufacturers have participated in the SAVE activities and have done a remarkable job. While the energy efficiency ofthe main household appliances has been improved, at the same time it was possible in most cases to improve the appliance performance, reliability and qualityofservice.
This book constitutes the refereed proceedings of the 4th International Conference on Software and Data Technologies, ICSOFT 2009, held in Sofia, Bulgaria, in July 2009. The 19 revised full papers presented together with two invited papers were carefully reviewed and selected as best papers from 212 submissions. The papers are organized in topical sections on enterprise software technology; software engineering; distributed systems; data management; knowledge-based systems.
This book introduces readers to emerging persistent memory (PM) technologies that promise the performance of dynamic random-access memory (DRAM) with the durability of traditional storage media, such as hard disks and solid-state drives (SSDs). Persistent memories (PMs), such as Intel's Optane DC persistent memories, are commercially available today. Unlike traditional storage devices, PMs can be accessed over a byte-addressable load-store interface with access latency that is comparable to DRAM. Unfortunately, existing hardware and software systems are ill-equipped to fully avail the potential of these byte-addressable memory technologies as they have been designed to access traditional storage media over a block-based interface. Several mechanisms have been explored in the research literature over the past decade to design hardware and software systems that provide high-performance access to PMs. Because PMs are durable, they can retain data across failures, such as power failures and program crashes. Upon a failure, recovery mechanisms may inspect PM data, reconstruct state and resume program execution. Correct recovery of data requires that operations to the PM are properly ordered during normal program execution. Memory persistency models define the order in which memory operations are performed at the PM. Much like memory consistency models, memory persistency models may be relaxed to improve application performance. Several proposals have emerged recently to design memory persistency models for hardware and software systems and for high-level programming languages. These proposals differ in several key aspects; they relax PM ordering constraints, introduce varying programmability burden, and introduce differing granularity of failure atomicity for PM operations. This primer provides a detailed overview of the various classes of the memory persistency models, their implementations in hardware, programming languages and software systems proposed in the recent research literature, and the PM ordering techniques employed by modern processors.
Zusammenfassung: This is an open access book. The Organizing Committee of the Conference is delighted to invite you to participate in the 2nd International Conference on Mathematics, Science, and Technology Education (AICMSTE) 2023, which is expected to be held September 18-19, 2023, at Universitas Syiah Kuala, Banda Aceh, Indonesia. This year, the conference is hybrid to reach a larger international audience and diversity. This is a hybrid conference to reach a larger international audience and diversity. We look forward to meeting you in Banda Aceh