The Portuguese Administrative Elite, 1851-1910

The aim of this article is to examine the composition and patterns of recruitment of the ministries’directors-general, as well as to assess the interconnections between bureaucracy and politics, from the beginnings of Regeneração (1851) until the breakdown of Monarchy (1910). The post of director-general was considered one of “political trust”, that might be filled by individuals from outside the civil service, and the selection and de-selection of officeholders depended exclusively on the ministers’ will. Nonetheless, most directors-general were experienced bureaucrats, boasting a steady career as civil servants, and remained in office for long terms, regardless of ministerial discontinuities. In other words, High Administration became relatively immune to party-driven politics. Due to their professional background and lengthy tenure, directors-general were usually highly skilled specialists, combining technical expertise and practical knowledge of the wheels of state bureaucracy. Hence, they were often influential actors in policy-making, playing an active (and sometimes decisive) part behind the scenes, in both designing and implementing government policies. As regards their social profile, directors-general formed a cohesive and homogeneous elite group: being predominantly drawn from urban middle class milieus, highly educated, and appointed to office in their forties.

Scaling In-Memory databases on multicores

Current computer systems have evolved from featuring only a single processing unit and limited RAM, in the order of kilobytes or few megabytes, to include several multicore processors, o↵ering in the order of several tens of concurrent execution contexts, and have main memory in the order of several tens to hundreds of gigabytes. This allows to keep all data of many applications in the main memory, leading to the development of inmemory databases. Compared to disk-backed databases, in-memory databases (IMDBs) are expected to provide better performance by incurring in less I/O overhead. In this dissertation, we present a scalability study of two general purpose IMDBs on multicore systems. The results show that current general purpose IMDBs do not scale on multicores, due to contention among threads running concurrent transactions. In this work, we explore di↵erent direction to overcome the scalability issues of IMDBs in multicores, while enforcing strong isolation semantics. First, we present a solution that requires no modification to either database systems or to the applications, called MacroDB. MacroDB replicates the database among several engines, using a master-slave replication scheme, where update transactions execute on the master, while read-only transactions execute on slaves. This reduces contention, allowing MacroDB to o↵er scalable performance under read-only workloads, while updateintensive workloads su↵er from performance loss, when compared to the standalone engine. Second, we delve into the database engine and identify the concurrency control mechanism used by the storage sub-component as a scalability bottleneck. We then propose a new locking scheme that allows the removal of such mechanisms from the storage sub-component. This modification o↵ers performance improvement under all workloads, when compared to the standalone engine, while scalability is limited to read-only workloads. Next we addressed the scalability limitations for update-intensive workloads, and propose the reduction of locking granularity from the table level to the attribute level. This further improved performance for intensive and moderate update workloads, at a slight cost for read-only workloads. Scalability is limited to intensive-read and read-only workloads. Finally, we investigate the impact applications have on the performance of database systems, by studying how operation order inside transactions influences the database performance. We then propose a Read before Write (RbW) interaction pattern, under which transaction perform all read operations before executing write operations. The RbW pattern allowed TPC-C to achieve scalable performance on our modified engine for all workloads. Additionally, the RbW pattern allowed our modified engine to achieve scalable performance on multicores, almost up to the total number of cores, while enforcing strong isolation.